Director, Experiential Marketing Intelligence

Role Purpose & Context

Role Summary

The Director, Experiential Marketing Intelligence, is here to define and lead the entire data strategy for our experiential marketing efforts. This means everything from our global events to smaller field activations. You'll sit squarely at the intersection of marketing strategy, finance, and technology, translating raw event data into a compelling narrative that shows exactly where our money is best spent and what's actually working. When this role is done well, we'll be making data-backed decisions on £10M+ budgets, optimising our event portfolio for maximum impact, and proving clear ROI to the board. If it's not done well, we risk throwing significant cash at events that don't deliver, missing critical market trends, and ultimately losing competitive edge. The challenge? You're often dealing with messy, disparate data sources and stakeholders who might prefer gut feelings over hard facts. The reward, though, is seeing your insights directly influence major business outcomes and truly transform how we approach experiential marketing.

Reporting Structure

• Reports to: VP, Marketing Analytics & Performance
• Direct reports: Roughly 25-100+ people, including managers and individual contributors across various teams.
• Matrix relationships: VP, Event Analytics & Strategy, Head of Marketing Performance (Events), Global Director of Experiential Measurement, Senior Director, Data & Insights (Events),

Key Stakeholders

Internal:

• C-Suite (CEO, CMO, CFO)
• Board of Directors
• Heads of Global Marketing & Regional Marketing Leads
• Product & Sales Leadership
• Finance & Procurement Teams
• IT & Data Engineering

External:

• Major Event Venues & Production Partners
• Industry Analysts & Consultants
• Key Technology Vendors (e.g., Cvent, Salesforce)
• Strategic Agency Partners
• Investors & Shareholders

Organisational Impact

Scope: Your decisions will directly shape the strategic direction and financial performance of our entire experiential marketing business unit. You're accountable for ensuring that every pound spent on events delivers measurable value, driving significant revenue growth and optimising our market position. This role touches everything from budget allocation to long-term brand perception.

Performance Metrics

Quantitative Metrics

1. Metric: Experiential Marketing ROI
2. Desc: Overall return on investment for the entire experiential marketing budget, including all events, sponsorships, and field marketing activities.
3. Target: Achieve a minimum of 5:1 ROI across the portfolio, with specific Tier 1 events hitting 8:1+.
4. Freq: Quarterly & Annually, presented to the Board.
5. Example: In Q2, the £5M experiential marketing spend generated £28M in attributable pipeline, resulting in a 5.6:1 ROI. Your analysis showed that shifting £500K from smaller regional events to our flagship conference improved the overall ROI by 0.5 points.
6. Metric: Pipeline & Revenue Attribution Accuracy
7. Desc: The precision of our multi-touch attribution models in crediting pipeline and closed-won revenue to specific event touchpoints.
8. Target: Maintain 90%+ accuracy in attributing event-influenced pipeline and 85%+ for closed-won revenue, as validated by Sales and Finance.
9. Freq: Monthly, with quarterly deep dives.
10. Example: Your team's Q3 attribution model identified £15M in event-influenced pipeline, which, after Sales review, was confirmed to be 92% accurate. This allowed us to confidently forecast Q4 revenue contribution from events.
11. Metric: Cost Per Qualified Lead (CPQL) - Event Channel
12. Desc: The average cost to generate a Marketing Qualified Lead (MQL) specifically through our experiential marketing channels.
13. Target: Reduce overall event CPQL by 10% year-on-year while maintaining MQL quality (as defined by Sales acceptance rate).
14. Freq: Monthly, reported to CMO and CFO.
15. Example: After your strategic review of event spend, we shifted budget from underperforming virtual events. This resulted in a 12% reduction in CPQL for the event channel, from £120 to £105, without impacting lead volume or quality.
16. Metric: Data Maturity Scorecard Improvement
17. Desc: Progress against a defined framework for data governance, integration, accessibility, and analytical sophistication within the experiential marketing function.
18. Target: Improve our internal 'Event Data Maturity' score by one full level (e.g., from 'Reactive' to 'Proactive') within 18 months.
19. Freq: Bi-annual assessment with external consultants.
20. Example: Through your leadership, we implemented a new data governance framework for event platforms and integrated Cvent with Salesforce, moving our maturity score from 2.5 to 3.8 out of 5, significantly improving data reliability.

Qualitative Metrics

1. Metric: Strategic Influence & Board Confidence
2. Desc: Your ability to shape the overall marketing strategy and gain the trust of the C-Suite and Board through compelling, data-driven narratives.
3. Evidence: You're regularly invited to present at Board meetings, your recommendations are adopted in annual planning, and senior leaders proactively seek your input on major investments. They'll quote your insights in their own presentations.
4. Metric: Team Leadership & Talent Development
5. Desc: The effectiveness of your leadership in building, mentoring, and retaining a high-performing team of data professionals.
6. Evidence: Your direct reports consistently meet and exceed their performance goals, there's a clear succession plan for key roles, and your team's retention rates are above the industry average. People actively want to work for you.
7. Metric: Cross-Functional Collaboration & Alignment
8. Desc: Your skill in getting different departments (Sales, Product, Finance, IT) on the same page regarding event data strategy and measurement.
9. Evidence: You're seen as a neutral, trusted authority in cross-functional forums. There's a clear, agreed-upon data dictionary for event metrics, and disagreements are resolved efficiently with your guidance. People come to you to 'broker' data discussions.
10. Metric: Innovation in Measurement & Analytics
11. Desc: Your drive to explore and implement new methodologies, tools, and approaches to better understand event impact.
12. Evidence: Your team regularly pilots new AI tools or advanced statistical models. You present new attribution frameworks or predictive models that genuinely advance our capabilities, not just incremental improvements. You're always asking 'what if?'

Primary Traits

• Trait: Skeptical Detective (at Scale)
• Manifestation: You're the one who, when presented with a 'record-breaking' event ROI, immediately asks about the data sources, the attribution window, and any potential biases in the reporting. You'll challenge the underlying assumptions of a £5M budget allocation if the data feels flimsy. This means pushing back on the CMO or even the CEO when a number simply doesn't add up, politely but firmly. You'll demand proof, not just anecdotes, especially when we're talking about significant investments.
• Benefit: At this level, flawed data isn't just a mistake; it's a strategic misstep that can cost the company millions. Your job is to be the ultimate guardian of data integrity for experiential marketing. Without this deep-seated skepticism, we risk making poor investment decisions, misallocating resources, and ultimately damaging our market position. You're protecting the company's bottom line and reputation.
• Trait: Pragmatic Storyteller (for the Boardroom)
• Manifestation: You can take a complex multi-touch attribution model, boil it down to three key takeaways, and present it to the Board in a way that makes them nod, not glaze over. You instinctively know when to use a simple bar chart versus a detailed scatter plot. More importantly, you can articulate the 'so what?' and the 'now what?' of your analysis, linking it directly to business strategy and financial outcomes. You're comfortable translating statistical significance into commercial impact for non-technical executives.
• Benefit: A brilliant data strategy is useless if it can't be communicated effectively to those who hold the purse strings and make the big decisions. Your ability to distil complex analytics into clear, actionable narratives is crucial for securing budget, influencing strategic shifts, and maintaining executive confidence in our experiential marketing investments. You're essentially the translator between the data scientists and the decision-makers.
• Trait: Calm Under Strategic Pressure
• Manifestation: When a major investor asks for a completely new cut of event ROI data an hour before a quarterly earnings call, you don't panic. Instead, you calmly assess the request, delegate effectively, and manage expectations, delivering the most critical insights under immense pressure. You can deliver potentially bad news – like an event significantly underperforming – with objective composure, focusing on the data and the path forward, rather than getting flustered or defensive. You're the steady hand in a crisis.
• Benefit: The stakes are incredibly high at this level. Board meetings, investor calls, and multi-million pound budget reviews are common. Your ability to remain composed, think clearly, and lead your team effectively during high-pressure situations is paramount. Panicking or making rushed decisions can lead to significant data errors, erode trust with senior leadership, and have severe financial and reputational consequences for the entire business unit.

Supporting Traits

• Trait: Strategic Visionary
• Desc: You're not just looking at next quarter's events; you're thinking 3-5 years out, anticipating market shifts and technological advancements that will impact how we measure experiential marketing.
• Trait: Organisational Influencer
• Desc: You can build consensus and drive change across large, diverse teams, even when there's resistance to new data practices or investment shifts.
• Trait: Talent Developer
• Desc: You genuinely enjoy mentoring and growing a large team, seeing their potential and helping them achieve it. You're building the next generation of data leaders.
• Trait: Commercial Acumen
• Desc: You understand the broader business context, including P&L, market dynamics, and competitive landscape, and can connect data insights directly to these factors.

Primary Motivators

1. Motivator: Shaping Business Strategy
2. Daily: You'll spend a good chunk of your week in strategic planning sessions, presenting your team's insights to C-level executives and influencing where the company invests its marketing budget. Seeing your recommendations adopted and drive tangible business outcomes is what gets you up in the morning.
3. Motivator: Building High-Performing Teams & Capabilities
4. Daily: You'll be focused on recruiting top talent, mentoring your managers, and designing the optimal team structure to deliver world-class event analytics. You get a real buzz from seeing your team members grow and excel, and from establishing cutting-edge analytical capabilities.
5. Motivator: Solving Complex, Unstructured Problems
6. Daily: You thrive on tackling ambiguous, large-scale data challenges – like figuring out how to measure the long-term brand impact of a global sponsorship, or integrating data from 20 different event platforms. You're less interested in routine reporting and more in architecting novel solutions.

Potential Demotivators

Honestly, this role isn't for everyone. If you're looking for a quiet life of pure data analysis, you'll probably struggle. You'll spend a significant amount of time managing people, navigating organisational politics, and dealing with budget constraints. You'll also have to make tough calls, sometimes letting go of underperforming team members or deprioritising projects you personally championed. The reality is often messier than the clean data you'd prefer to work with.

Common Frustrations

1. Dealing with legacy systems and data silos that make enterprise-wide integration a nightmare.
2. Political battles over data ownership or attribution models between different marketing functions.
3. Having to constantly educate senior executives who still rely on gut feel over hard data.
4. Budget cuts that force you to do more with less, impacting team morale and project scope.
5. The sheer volume of urgent, high-stakes requests that land on your desk, often with unrealistic deadlines.
6. Recruiting and retaining top-tier data talent in a competitive market.

What Role Doesn't Offer

1. A purely individual contributor path with no people management responsibilities.
2. A predictable, routine day-to-day where you're always working with perfectly clean data.
3. A role where you can avoid challenging senior leadership or making difficult personnel decisions.
4. Complete autonomy without needing to justify investment or strategic direction to the Board.

ADHD Positives

1. The constant strategic challenges and high-stakes problem-solving can be incredibly engaging, providing the novelty and intellectual stimulation that many with ADHD thrive on.
2. The need to quickly pivot between different strategic priorities and manage multiple complex projects simultaneously can play to strengths in rapid context switching and hyperfocus when engaged.
3. The role demands big-picture thinking and connecting disparate ideas to form a cohesive strategy, which aligns well with divergent thinking patterns.

ADHD Challenges and Accommodations

1. The sheer volume of administrative tasks, email management, and long, less structured meetings might be challenging. We can support with executive assistants for scheduling and delegation, and encourage 'walking meetings' or shorter, focused discussions.
2. Maintaining focus during lengthy strategic documents or detailed budget reviews could be difficult. We can offer tools for summarisation and provide pre-reads with clear executive summaries.
3. Managing a large team requires consistent, structured check-ins. We can provide templates and coaching on effective delegation and follow-up strategies.

Dyslexia Positives

1. The role's emphasis on visual data storytelling and complex pattern recognition (e.g., in market trends or attribution models) can be a significant strength for dyslexic thinkers.
2. Strategic thinking, problem-solving, and the ability to see the 'big picture' are highly valued, often aligning with dyslexic cognitive strengths.
3. Leading and influencing through verbal communication and compelling presentations is a core part of the role, where strengths in oral communication can shine.

Dyslexia Challenges and Accommodations

1. Extensive reading and writing of detailed reports, board papers, and policy documents could be demanding. We encourage the use of text-to-speech software, grammar checkers, and offer support from an executive assistant for proofreading.
2. Organising and structuring complex written communications might require extra effort. We can provide templates for reports and presentations, focusing on clear, concise language and visual aids.
3. Note-taking during long meetings might be challenging. We can provide access to transcription software and shared digital whiteboards.

Autism Positives

1. The role demands a deep, analytical approach to data and systems, valuing logical consistency and precision in strategic frameworks. This aligns well with strengths in systematic thinking.
2. The focus on objective data to drive decisions, rather than subjective opinions, can be very appealing.
3. Building robust, repeatable processes for data governance and analytical frameworks is a key part of the role, leveraging a preference for structure and clarity.

Autism Challenges and Accommodations

1. Navigating complex organisational politics, ambiguous social cues in high-level meetings, and frequent, spontaneous networking might be challenging. We can provide clear communication guidelines, pre-meeting agendas, and support for understanding unspoken team dynamics.
2. Sensory sensitivities in a busy office environment or during large events could be an issue. We offer flexible working arrangements, noise-cancelling headphones, and quiet spaces for focused work.
3. Frequent interruptions for 'urgent' requests could be disruptive. We encourage structured communication channels and protected focus time.

Key Responsibilities

Experience Levels Responsibilities

1. Level: Director, Experiential Marketing Intelligence (L6)
2. Responsibilities: Define the multi-year strategic vision and roadmap for all experiential marketing data and analytics, ensuring it aligns with overall company objectives and drives significant business impact.
3. Lead and mentor a large, multi-tiered team of data professionals (25-100+), fostering a culture of high performance, continuous learning, and innovation across event data analytics.
4. Own the P&L for the experiential marketing intelligence function, managing budgets typically ranging from £2M-£10M+, making strategic investment decisions in tools, talent, and programmes.
5. Architect and oversee the implementation of enterprise-level data architecture for events, ensuring seamless integration across Cvent, Salesforce, Marketo, Snowflake, and other critical systems.
6. Drive the development and adoption of advanced analytical methodologies, including sophisticated multi-touch attribution models, predictive analytics for attendee behaviour, and comprehensive ROI frameworks, presenting these to the C-Suite and Board.
7. Act as the primary data evangelist and strategic advisor to the CMO, CEO, and Board of Directors, translating complex data insights into clear, compelling narratives that inform critical business decisions and secure multi-million pound investments.
8. Represent the organisation externally as a thought leader in event data analytics, speaking at industry conferences and engaging with strategic partners to advance our capabilities and influence the market.
9. Supervision: You'll operate with full strategic autonomy within your business unit, reporting to the VP, Marketing Analytics & Performance. Supervision focuses on quarterly objectives, strategic alignment, and board-level outcomes, not day-to-day execution.
10. Decision: You have full strategic authority within your domain, including P&L management for £2M-£10M+, organisational design for your teams, major hiring decisions, and selection of core technology platforms (e.g., event management systems, BI tools). Decisions impacting overall company strategy or M&A require alignment with the C-Suite and Board.
11. Success: Success at this level means consistently delivering insights that lead to demonstrable improvements in experiential marketing ROI, significant shifts in budget allocation towards higher-performing programmes, and a measurable increase in the data maturity of the organisation. Your ability to build and lead a world-class team, influence C-level executives, and shape the strategic direction of a multi-million pound business unit is paramount.

Decision-Making Authority

• Type: Strategic Direction & Vision
• Entry: No authority; executes tasks based on defined vision.
• Mid: Proposes minor tactical adjustments within existing strategy.
• Senior: Makes technical decisions within workstream; recommends strategic changes to leadership.
• Type: Budget Allocation & Investment
• Entry: No budget authority.
• Mid: Manages small project budgets (up to £5K) with manager approval.
• Senior: Recommends budget allocation for specific projects (up to £50K) to Director.
• Type: Organisational Design & Hiring
• Entry: No involvement in hiring or org design beyond expressing interest.
• Mid: Provides input on junior hires.
• Senior: Interviews candidates for junior/mid-level roles; provides input on team structure.
• Type: Technology & Platform Selection
• Entry: Uses assigned tools.
• Mid: Recommends minor tool enhancements.
• Senior: Evaluates and recommends specific analytical tools or features within a defined tech stack.
• Type: External Representation & Partnerships
• Entry: No external representation.
• Mid: Attends vendor meetings with manager.
• Senior: Engages with vendors on specific project requirements.

Competency Requirements

Foundation Skills (Transferable)

At this level, your foundation skills aren't just about personal execution; they're about shaping the culture and capabilities of your entire team and influencing the broader organisation. We're looking for someone who exemplifies leadership and strategic thinking in every interaction.

• Category: Strategic Leadership & Vision
• Skills: Ability to define and articulate a compelling multi-year vision for event data analytics that aligns with broader business objectives.
• Proven track record of influencing C-level executives and board members with data-driven strategic recommendations.
• Exceptional capability in identifying market trends, competitive landscapes, and technological shifts to proactively shape future strategies.
• Skill in translating complex business problems into clear analytical strategies and actionable programmes.
• Category: Organisational Influence & Communication
• Skills: Mastery in communicating complex analytical concepts and strategic recommendations to diverse audiences, from data scientists to non-technical board members.
• Expert negotiation and persuasion skills, capable of driving consensus and securing buy-in for significant investments and strategic changes.
• Adept at navigating complex organisational politics and building strong, collaborative relationships across departments (Sales, Product, Finance, IT).
• Exceptional public speaking and presentation skills, capable of representing the organisation as a thought leader.
• Category: People Leadership & Development
• Skills: Demonstrated ability to build, lead, and mentor large, high-performing teams, including managers and senior individual contributors.
• Expertise in talent acquisition, retention, and career development within a data and analytics function.
• Strong capability in fostering a culture of innovation, accountability, and continuous improvement.
• Skill in managing performance, providing constructive feedback, and making difficult personnel decisions when necessary.
• Category: Complex Problem Solving & Decision Making
• Skills: Ability to break down highly ambiguous, enterprise-level problems into manageable analytical challenges and strategic initiatives.
• Proven track record of making high-stakes, data-backed decisions under pressure, often with incomplete information.
• Exceptional critical thinking and analytical reasoning, capable of identifying root causes and developing innovative solutions.
• Skill in balancing short-term tactical needs with long-term strategic goals.

Functional Skills (Role-Specific Technical)

Your functional skills at this level are about architecting and overseeing the entire data ecosystem for experiential marketing, not just performing individual analyses. You'll be defining the 'how' and 'what' for your teams, and ensuring the strategic application of these capabilities.

Technical Competencies

• Skill: Multi-Touch Attribution (MTA) Modeling - Strategic Design
• Desc: You'll be designing and validating enterprise-level MTA frameworks for events, moving beyond simple models to incorporate advanced statistical techniques and machine learning. This means defining the methodology, overseeing its implementation, and defending its accuracy to executive leadership.
• Level: Expert
• Skill: Lead-to-Revenue Funnel Optimisation - Strategic Oversight
• Desc: You'll be responsible for the end-to-end analytical strategy for the event lead funnel, identifying systemic bottlenecks, optimising conversion points, and influencing sales and marketing operations to improve overall velocity and efficiency.
• Level: Expert
• Skill: Event ROI & ROO Frameworks - Enterprise Development
• Desc: You'll be the architect of our comprehensive ROI and ROO measurement frameworks, ensuring they capture both financial and strategic objectives across our diverse event portfolio. This includes developing the financial models and securing organisational buy-in.
• Level: Expert
• Skill: Predictive Analytics for Event Strategy - Direction & Application
• Desc: You'll define the strategic application of predictive modelling (e.g., for attendance, engagement, churn) to inform event design, targeting, and resource allocation. This means championing the use of these models and ensuring their insights are integrated into decision-making.
• Level: Expert
• Skill: Data Storytelling & Executive Communication
• Desc: Beyond just presenting data, you'll be crafting the overarching narrative for experiential marketing's impact, tailoring it for board-level discussions, investor relations, and internal strategic alignment. This is about influencing with data.
• Level: Expert

Digital Tools

• Tool: Cvent, Bizzabo, Splash, Hopin (Event Management Platforms)
• Level: Strategic
• Usage: Leading platform selection and evaluation, negotiating enterprise contracts, designing the overarching data architecture and integration strategy for event platforms.
• Tool: Salesforce (Sales/Service Cloud), HubSpot, Marketo (CRM & Marketing Automation)
• Level: Strategic
• Usage: Owning the CRM data model for marketing, defining data governance policies, and aligning CRM strategy with overall business goals to ensure event data flows seamlessly and is actionable.
• Tool: Tableau, Power BI, Looker Studio (BI & Data Visualization)
• Level: Strategic
• Usage: Managing the enterprise BI environment, setting standards for reporting and dashboard design, and presenting complex data visualisations to C-suite executives and the Board, defending the underlying data and insights.
• Tool: SQL (PostgreSQL, T-SQL), Excel (Power Query, XLOOKUP, Pivot Tables)
• Level: Architect
• Usage: Designing robust database schemas, architecting complex ETL pipelines for event data, and making strategic decisions on data warehousing vs. data lakes for the entire experiential marketing data estate.
• Tool: Python (pandas, Matplotlib, scikit-learn), R (Advanced Analytics & Scripting)
• Level: Strategic
• Usage: Setting the direction for the team's advanced analytical capabilities, championing the use of predictive analytics in event strategy, and vetting new analytical tools and methodologies for large-scale deployment.
• Tool: Snowflake, Anaplan, Collibra (Executive & Planning Platforms)
• Level: User/Architect
• Usage: Using Anaplan for advanced budget modelling and scenario planning for the event portfolio. Defining and enforcing data governance rules for event data within Collibra. Architecting data flows into Snowflake for enterprise-wide analysis and reporting.

Industry Knowledge

• Area: Global Event Landscape & Trends
• Desc: Deep understanding of the global events industry, including emerging formats (hybrid, metaverse), key players, regulatory changes, and attendee behaviour shifts. You'll be anticipating future trends, not just reacting to them.
• Area: Marketing & Sales Funnel Dynamics
• Desc: Comprehensive knowledge of the end-to-end B2B marketing and sales funnel, including lead scoring, qualification processes, sales cycles, and the role of events at each stage. This means understanding how event data impacts the entire revenue engine.
• Area: Financial Planning & P&L Management
• Desc: Strong grasp of financial principles, budgeting, forecasting, and P&L management, specifically within a marketing or events context. You'll be accountable for multi-million pound budgets and proving financial returns.
• Area: Data Governance, Security & Compliance
• Desc: Expertise in establishing and enforcing data governance policies, ensuring data security, and maintaining compliance with global data privacy regulations (e.g., GDPR, CCPA) across all event data collection and usage.

Regulatory Compliance Regulations

• Reg: GDPR (General Data Protection Regulation)
• Usage: Defining and enforcing enterprise-wide data privacy policies for all event attendee data, ensuring consent mechanisms are robust, data retention policies are compliant, and managing data subject access requests at a strategic level.
• Reg: CCPA (California Consumer Privacy Act) / CPRA
• Usage: Ensuring our event data collection and usage practices are compliant with US state-specific privacy laws, particularly concerning data sharing and consumer rights. This involves strategic policy setting and oversight.
• Reg: PCI DSS (Payment Card Industry Data Security Standard)
• Usage: Overseeing that event registration and payment systems (via third-party vendors) adhere to PCI DSS standards, working with IT and Procurement to ensure vendor compliance and mitigate financial risk.

Essential Prerequisites

• Proven experience (typically 12-16 years) leading and managing large data analytics teams, including managers, within a complex, fast-paced environment.
• A track record of defining and implementing data strategies that have demonstrably driven significant business outcomes and influenced C-level decision-making.
• Expertise in designing and architecting enterprise-level data solutions and advanced analytical frameworks (e.g., multi-touch attribution, predictive modelling).
• Extensive experience with P&L management and budget oversight for a significant functional area (typically £500K-£2M+).
• Demonstrated ability to communicate complex data insights to non-technical executive audiences and secure buy-in for strategic initiatives.
• Deep knowledge of the events or experiential marketing industry, including its unique data challenges and measurement opportunities.

Career Pathway Context

To thrive in this Director role, you'll have already mastered the challenges of a Manager or Principal-level position, demonstrating not just technical prowess but also exceptional leadership, strategic foresight, and organisational influence. This isn't a first-time leadership role; it's for someone ready to shape an entire function.

Qualifications & Credentials

Emerging Foundation Skills

• Skill: Ethical AI & Data Governance Leadership
• Why: With the rapid adoption of AI in data analysis and personalised event experiences, ensuring ethical use, bias detection, and robust governance frameworks isn't just a technical task—it's a strategic imperative. Regulators are catching up, and public trust is paramount.
• Concepts: [{'concept_name': 'AI Explainability (XAI)', 'description': 'Understanding how AI models make decisions, especially in critical areas like lead scoring or attendee segmentation, to ensure fairness and transparency.'}, {'concept_name': 'Bias Detection & Mitigation', 'description': 'Identifying and addressing biases in event data (e.g., demographic representation) and AI models to ensure equitable outcomes and avoid discriminatory practices.'}, {'concept_name': 'Privacy-Preserving AI', 'description': 'Exploring techniques like federated learning or differential privacy to analyse event data while protecting individual attendee privacy.'}, {'concept_name': 'AI Policy & Compliance', 'description': 'Developing and enforcing internal policies for responsible AI use, aligning with emerging national and international AI regulations.'}]
• Prepare: This quarter: Engage with our legal and compliance teams to understand current and upcoming AI regulations.
• Next 6 months: Lead a working group to develop internal guidelines for ethical AI use within experiential marketing.
• Next 12 months: Pilot an XAI tool on one of your team's predictive models to understand its decision-making process.
• Ongoing: Stay abreast of industry best practices and academic research in ethical AI.
• QuickWin: Start by auditing your current data collection practices for potential biases and ensuring clear consent for all data used in any form of personalisation.
• Skill: Ecosystem Orchestration & Partnership Management
• Why: The future of event data isn't just about internal systems; it's about seamlessly integrating data from a complex ecosystem of partners—sponsors, venues, tech providers, and agencies. Your ability to orchestrate these relationships and data flows will be critical for a holistic view.
• Concepts: [{'concept_name': 'Data Sharing Agreements (DSAs)', 'description': 'Negotiating and managing contracts and agreements for secure and compliant data exchange with third-party partners.'}, {'concept_name': 'API Economy & Integration Strategy', 'description': 'Developing a strategic approach to API integrations, ensuring scalable and reliable data flow across a distributed event tech stack.'}, {'concept_name': 'Vendor Data Audits', 'description': 'Establishing processes to regularly audit third-party vendors for data quality, security, and compliance, ensuring their data meets our standards.'}, {'concept_name': 'Joint Measurement Frameworks', 'description': 'Collaborating with partners to define shared success metrics and reporting standards for co-hosted events or sponsorships.'}]
• Prepare: This quarter: Map out all current data exchange points with external partners and identify key risks/opportunities.
• Next 6 months: Work with legal and procurement to standardise data sharing clauses in all new vendor contracts.
• Next 12 months: Develop a 'partner data quality scorecard' to evaluate and improve data from key external sources.
• Ongoing: Build strong relationships with key vendor data leads and industry peers.
• QuickWin: Review your top 3 event tech vendor contracts for data ownership and sharing clauses. You might be surprised what's (or isn't) there.

Advancing Technical Skills

• Skill: Generative AI for Strategic Planning & Content
• Why: Generative AI is moving beyond basic content creation to assist in strategic planning, scenario modelling, and even designing event concepts based on data. As a Director, you'll need to understand its capabilities to direct your team's use and vet its outputs.
• Concepts: [{'concept_name': 'Large Language Models (LLMs) for Strategic Synthesis', 'description': 'Using LLMs to rapidly synthesise market research, competitive intelligence, and internal performance data into strategic recommendations or scenario analyses.'}, {'concept_name': 'AI-Driven Scenario Planning', 'description': 'Employing AI to model various event scenarios (e.g., budget cuts, attendance spikes) and predict their impact on ROI and objectives.'}, {'concept_name': 'AI for Event Concept Generation', 'description': 'Using generative AI to brainstorm and refine event themes, session topics, or even personalised attendee journeys based on historical data and audience preferences.'}, {'concept_name': 'Prompt Engineering for Strategic Outcomes', 'description': 'Mastering the art of crafting effective prompts to extract high-quality, actionable strategic insights from AI tools.'}]
• Prepare: This month: Experiment with advanced LLMs (e.g., GPT-4, Claude 3) for strategic brainstorming and executive summary drafting.
• Next 3 months: Task your team to pilot AI-driven scenario planning for one major event budget.
• Next 6 months: Develop a framework for evaluating the accuracy and bias of AI-generated strategic insights.
• Ongoing: Attend webinars and workshops on the latest advancements in generative AI for business strategy.
• QuickWin: Use an LLM to generate a first draft of a strategic memo or a competitor analysis report. It won't be perfect, but it'll save you hours.
• Skill: Real-time Analytics & Edge Computing for Live Events
• Why: The ability to capture, process, and act on data in real-time during a live event (e.g., adjusting content based on live engagement, optimising foot traffic) is becoming a competitive differentiator. This requires understanding edge computing and streaming analytics architectures.
• Concepts: [{'concept_name': 'Streaming Data Architectures', 'description': 'Understanding technologies like Kafka or Kinesis for ingesting and processing high volumes of event data in real-time.'}, {'concept_name': 'Edge Computing in Event Tech', 'description': 'Exploring how data can be processed closer to the source (e.g., on-site sensors, smart badges) to enable immediate actions and reduce latency.'}, {'concept_name': 'Real-time Personalisation Engines', 'description': 'Designing systems that use live event data to dynamically tailor attendee experiences, content recommendations, or networking suggestions.'}, {'concept_name': 'Low-Latency Data Visualisation', 'description': 'Implementing dashboards and alerts that update in seconds, providing immediate insights into live event performance.'}]
• Prepare: This quarter: Research current real-time analytics capabilities of our existing event tech stack.
• Next 6 months: Identify one key live event metric that could benefit from real-time tracking and propose a pilot.
• Next 12 months: Work with IT to explore streaming data platforms and edge computing solutions relevant to events.
• Ongoing: Engage with event tech vendors to understand their roadmap for real-time data capabilities.
• QuickWin: Implement a simple real-time dashboard for a virtual event showing live attendance and engagement metrics. It's a good starting point.

Education Requirements

• Level: Minimum
• Req: A Bachelor's degree in a quantitative field such as Data Science, Statistics, Computer Science, Economics, Marketing Analytics, or a closely related discipline.
• Alts: Extensive (18+ years) and demonstrable experience in a senior data leadership role within events or marketing analytics, with a proven track record of strategic impact, can be considered in lieu of a degree.
• Level: Preferred
• Req: A Master's degree (MSc) in Data Science, Business Analytics, or an MBA with a specialisation in Marketing or Strategy.
• Alts: Relevant executive education programmes or advanced certifications from reputable institutions (e.g., London Business School, INSEAD) focused on data strategy or executive leadership.

Experience Requirements

You'll need roughly 16-20 years of progressive experience in data analytics, with a significant portion (at least 8-10 years) in a leadership capacity within marketing, events, or a related commercial function. This should include extensive experience managing large, multi-disciplinary teams, owning significant P&L responsibilities (typically £2M+), and a proven track record of influencing C-level executives and board members with data-driven strategic recommendations. Experience in the Events Experiential Marketing sector is critical, demonstrating a deep understanding of its unique challenges and opportunities.

Preferred Certifications

• Cert: Certified Analytics Professional (CAP)
• Prod: INFORMS
• Usage: Demonstrates a comprehensive understanding of the analytics process from framing business problems to deployment and lifecycle management, highly relevant for strategic oversight.
• Cert: Certified Data Privacy Professional (CDPP)
• Prod: Various (e.g., IAPP CIPP/E)
• Usage: Crucial for ensuring compliance with GDPR and other data privacy regulations across our global event data, especially at a strategic policy-setting level.
• Cert: Executive Leadership Programme
• Prod: Top Business Schools (e.g., LBS, Oxford Said)
• Usage: Focuses on developing strategic leadership, organisational influence, and executive decision-making skills, which are paramount at this level.

Recommended Activities

• Regularly attending and speaking at industry conferences (e.g., Event Tech Live, Marketing Analytics Summit) to stay abreast of trends and build your professional network.
• Engaging in executive education programmes focused on AI strategy, digital transformation, or advanced leadership.
• Mentoring rising talent within the company and externally, solidifying your leadership and knowledge-sharing capabilities.
• Publishing thought leadership articles or whitepapers on event data analytics, positioning yourself and the company as an industry leader.

Career Progression Pathways

Entry Paths to This Role

• Path: From Head of Marketing Analytics (Non-Events)
• Time: 3-5 years as a Head of Marketing Analytics, focusing on broader marketing channels, before specialising in experiential.
• Path: From Senior Consulting Director (Data & Analytics)
• Time: 5-7 years at a senior director level in a top-tier consulting firm, specialising in data strategy or marketing effectiveness.
• Path: Internal Promotion (from Manager, Event Analytics & Insights)
• Time: 3-5 years as an L5 Manager, demonstrating exceptional leadership and strategic impact.

Career Progression From This Role

• Pathway: VP, Marketing Analytics & Performance
• Time: 3-5 years in the Director role, consistently delivering strategic impact.
• Pathway: Chief Marketing Officer (CMO)
• Time: 5-8 years in the Director/VP analytics track, demonstrating broader marketing leadership.

Long Term Vision Potential Roles

• Title: Chief Data Officer (CDO)
• Time: 10-15+ years post-Director
• Title: Chief Revenue Officer (CRO)
• Time: 10-15+ years post-Director
• Title: CEO (Chief Executive Officer)
• Time: 15-20+ years post-Director

How Zavmo Delivers This Role's Development

DISCOVER Phase: Skills Gap Analysis

Zavmo maps your current competencies against all requirements in this job description through conversational assessment. We evaluate your foundation skills (communication, strategic thinking), functional skills (CRM expertise, negotiation), and readiness for career progression.

Output: Personalised skills gap heat map showing strengths and priorities, estimated time to competency, neurodiversity accommodations.

DISCUSS Phase: Personalised Learning Pathway

Based on your DISCOVER results, Zavmo creates a personalised learning plan prioritised by impact: foundation skills first, then functional skills. We adapt to your learning style, pace, and neurodiversity needs (ADHD, dyslexia, autism).

Output: Week-by-week schedule, each module linked to specific job responsibilities, checkpoints and milestones.

DELIVER Phase: Conversational Learning

Learn through conversation, not boring modules. Zavmo uses 10 conversation types (Socratic dialogue, role-play, coaching, case studies) to build competence. Practice difficult QBR presentations, negotiate tough renewals, and handle churn conversations in a safe AI environment before facing real clients.

Example: "For 'Stakeholder Mapping', Zavmo will guide you through analysing a complex enterprise account, identifying key decision-makers, and building an engagement strategy."

DEMONSTRATE Phase: Competency Assessment

Zavmo automatically builds your evidence portfolio as you learn. Every conversation, practice scenario, and application example is captured and mapped to NOS performance criteria. When ready, your portfolio supports OFQUAL qualification claims and demonstrates competence to employers.

Output: Competency matrix, evidence portfolio (downloadable), qualification readiness, career progression score.