Lead Innovation Strategist

Role Purpose & Context

Role Summary

The Lead Innovation Strategist is here to design, build, and run entire innovation programmes, making sure we're not just dabbling in new ideas but systematically creating future growth. You'll be the one who takes a broad strategic challenge from leadership and figures out how to turn it into a series of testable, manageable projects. In practice, this means you're at the intersection of R&D, Product, and Commercial teams, translating market needs and technological possibilities into concrete innovation pathways that others can follow. When you do this well, we'll have a clear, de-risked pipeline of new products and services, ready to scale. If it's not done right, we end up with 'innovation theatre'—lots of activity, but no real impact, wasting time and money. The challenge? You're often working with ambiguous problems and a healthy dose of internal resistance (the 'corporate immune system' is real). The reward, though, is seeing your programmes launch genuinely new offerings that change the game for our customers and the business.

Reporting Structure

• Reports to: Innovation Manager / Head of Lab
• Direct reports: Roughly 3-8 Innovation Specialists or Analysts
• Matrix relationships: Innovation Programme Lead, Senior R&D Strategist, Principal Innovation Consultant,

Key Stakeholders

Internal:

• Innovation Manager/Head of Lab (your direct boss)
• VP of R&D Strategy
• Product Leads and Managers
• Engineering Directors
• Commercial and Sales Leadership
• Finance Business Partners

External:

• Key Technology Vendors
• Academic Research Partners
• Industry Consortia
• Select Customers for co-creation

Organisational Impact

Scope: This role directly shapes the future R&D pipeline, ensuring that our innovation efforts are strategic, well-resourced, and actually deliver tangible value. You're building the capability for sustained innovation, not just one-off projects. Get it right, and you're helping secure our long-term competitive advantage. Get it wrong, and we're just burning cash on ideas that go nowhere.

Performance Metrics

Quantitative Metrics

1. Metric: Programme Progression Rate
2. Desc: The percentage of innovation programmes that successfully move past key stage-gates (e.g., from 'Concept' to 'Validated Solution').
3. Target: 70% of programmes advance past Problem-Solution Fit; 40% past Solution-Market Fit.
4. Freq: Quarterly reviews against defined stage-gate criteria.
5. Example: Out of 5 programmes initiated in Q1, 4 made it through the Problem-Solution Fit gate by Q3, hitting an 80% progression rate for that stage.
6. Metric: Innovation Portfolio Value (De-risked)
7. Desc: The estimated future value of the innovation portfolio under your guidance, adjusted for risk and validated learnings.
8. Target: Increase de-risked portfolio value by £1M-£2M annually.
9. Freq: Annually, based on detailed business cases and TRL assessments.
10. Example: Through rigorous testing and iteration, you've reduced the risk profile of three H2 projects, increasing their projected NPV by £1.5M over the year.
11. Metric: Resource Utilisation Efficiency
12. Desc: How effectively your allocated budget and team's time are converted into validated learnings and programme milestones.
13. Target: Maintain 85%+ budget adherence and 75%+ team time spent on core innovation activities (not 'innovation theatre').
14. Freq: Monthly budget tracking and quarterly team activity audits.
15. Example: Your programme spent £180K of a £200K budget in Q2, delivering all planned experiments and insights, showing efficient use of funds.
16. Metric: IP Generation (Novelty & Quality)
17. Desc: The number of high-quality, novel intellectual property disclosures (e.g., patent applications, trade secrets) generated by your programmes.
18. Target: Contribute to 2-3 new patentable ideas or significant trade secrets per year.
19. Freq: Annually, tracked through patent filings and internal IP committee reviews.
20. Example: Your team's work on a new material composite led to two provisional patent applications this year, protecting key innovations.

Qualitative Metrics

1. Metric: Strategic Alignment & Impact
2. Desc: How well your programmes align with the broader R&D and business unit strategy, and how effectively they influence future strategic decisions.
3. Evidence: You're regularly invited to strategic planning sessions, your programme updates inform leadership decisions, and your team's insights are cited in executive presentations. Leadership actively seeks your input on new market opportunities.
4. Metric: Team Leadership & Mentorship
5. Desc: The effectiveness of your leadership in guiding, developing, and inspiring your team of Innovation Specialists and Analysts.
6. Evidence: Your direct reports show clear professional growth and increased autonomy. They actively seek your guidance, and you consistently receive positive feedback in 360-degree reviews regarding your coaching and support. You've got a reputation for building strong, capable teams.
7. Metric: Cross-Functional Influence & Collaboration
8. Desc: Your ability to build strong relationships and influence decisions across different departments without direct authority.
9. Evidence: Other department leads proactively come to you for input on innovation-related matters. You successfully secure resources (e.g., engineering time, marketing support) for your programmes through persuasion, not just mandates. You're seen as a trusted partner, not just 'the innovation person'.
10. Metric: Quality of Validated Learning
11. Desc: The depth, clarity, and actionability of the insights derived from your experiments and research.
12. Evidence: Your experiment reports clearly articulate hypotheses, methods, results, and—crucially—the 'so what' for the business. Learnings are consistently used to pivot, persevere, or kill projects, demonstrating a rigorous Build-Measure-Learn approach. You're not just collecting data; you're making sense of it.

Primary Traits

• Trait: Insatiably Curious
• Manifestation: You're the sort who always asks 'why' – not just once, but five or six times until you hit the actual root cause of a problem or the true need behind a customer's request. You might spend your evenings reading about quantum computing, new materials science, or the latest behavioural economics research, just because it fascinates you. You're always connecting dots others miss, pulling insights from seemingly unrelated fields.
• Benefit: Honestly, innovation doesn't happen in a vacuum. It starts with seeing non-obvious connections and understanding problems at a deep level. If you're not intrinsically driven to learn and explore beyond the obvious, you'll only ever spot surface-level opportunities. We need people who can uncover those game-changing insights that come from cross-pollinating ideas and truly understanding the 'Jobs-to-be-Done' for our customers.
• Trait: Gritty Resilience
• Manifestation: You can calmly present findings from an experiment that utterly failed, focusing on the learnings, not the disappointment. When a key stakeholder tells you 'no' for the third time, you don't give up; you come back a week later with new data and a reframed argument that addresses their specific concerns. You view a cancelled project, especially one you championed, as a success if it saved the company millions by 'failing cheap' and early.
• Benefit: Let's be real: most innovation projects don't make it to market. Over 90% fail, or at least pivot dramatically. If you tie your self-worth to every project's success, you'll burn out quickly here. This role demands serious emotional fortitude – the ability to champion ideas against resistance, to learn from setbacks, and to treat failure as incredibly valuable data. You're the one who keeps pushing, even when the path is unclear.
• Trait: Covert Influencer
• Manifestation: You're brilliant at building alliances. Before a big pitch to leadership, you've already had informal chats with the Engineering Director and the Marketing Lead, getting their buy-in. You can translate a complex technical concept into a compelling business story for the CFO, or explain the R&D implications to the Commercial team. You instinctively know how to frame a request in terms of another stakeholder's own KPIs, making it easy for them to say 'yes'.
• Benefit: The innovation team rarely has direct authority over the resources it needs. Your success depends entirely on your ability to persuade, build coalitions, and secure resources through influence, not command. You'll need to sell the dream and the spreadsheet, often simultaneously. Without this, even the best ideas will just sit on a shelf, gathering dust.

Supporting Traits

• Trait: Systematic Thinker
• Desc: You can take a massive, ambiguous problem – the kind that makes others freeze – and break it down into a testable set of hypotheses and a clear, manageable programme of work. You see the forest and the trees, and you know how to build a path through them.
• Trait: Pragmatic Optimist
• Desc: You balance a genuine belief in what's possible with a realistic understanding of corporate constraints, budget limitations, and market realities. You're not a dreamer; you're a doer who can navigate the real world.
• Trait: Ambiguity Tolerant
• Desc: You genuinely thrive in the 'fuzzy front end' of innovation, where the problem itself, the potential solutions, and the path forward are all unclear. You don't need a perfectly defined brief to get started; you're comfortable defining it as you go.
• Trait: Learning Agility
• Desc: When a new tool or methodology pops up, you're not intimidated. You'll dive in, figure it out, and quickly apply it to your work. You see every challenge as an opportunity to learn something new.

Primary Motivators

1. Motivator: Solving Big, Unsolved Problems
2. Daily: You get a real buzz from tackling complex, ill-defined challenges that have no obvious answer. The harder the problem, the more engaged you are. You'll spend hours sketching out different approaches or diving into research to find a novel angle.
3. Motivator: Building New Things from Scratch
4. Daily: There's a deep satisfaction for you in taking an idea from a whiteboard sketch to a working prototype, and then seeing it grow into a full programme. You love the creation process, the iterative building, and the sense of bringing something truly novel into existence.
5. Motivator: Impacting the Future Direction of the Business
6. Daily: You want your work to genuinely shape where the company goes next. You're motivated by the idea that your programmes could lead to a new revenue stream or a significant market shift. You're not content with just tweaking things; you want to transform them.

Potential Demotivators

Honestly, this role isn't for everyone. If you need clear-cut instructions, predictable outcomes, or constant validation, you'll probably struggle. You'll spend a lot of time trying to get buy-in from people who are comfortable with the status quo, and you'll often be asked for concrete ROI on highly uncertain, early-stage ideas. Expect to fight the 'corporate immune system' on a regular basis.

Common Frustrations

1. Fighting the 'Corporate Immune System': Constantly battling organisational antibodies that are hard-wired to protect the core business by rejecting anything new or risky.
2. The 'Not Invented Here' Syndrome: Watching a brilliant, validated concept get blocked by an engineering or business unit because they didn't come up with it themselves.
3. Pilot Purgatory: Where promising projects get stuck in an endless loop of small-scale testing without ever being scaled or killed, just because no one wants to take the final leap.
4. Budget Scavenging: Having to constantly justify your existence and fight for scraps of funding against established P&Ls that generate predictable revenue.
5. Pressure for Predictable ROI: Being asked for a five-year financial forecast and guaranteed ROI on a highly uncertain, exploratory H3 project, which is frankly impossible.

What Role Doesn't Offer

1. A perfectly clear roadmap from day one. You'll be defining it.
2. Guaranteed project success or deployment for every idea you champion.
3. A quiet, solitary work environment. This is a highly collaborative, often noisy role.
4. Direct command-and-control authority over large teams or budgets without significant persuasion.

ADHD Positives

1. The fast-paced, ambiguous nature of innovation, with constant new problems to solve, can be highly engaging and stimulating.
2. The need for rapid iteration and pivoting means less time spent on monotonous, repetitive tasks.
3. Hyperfocus can be incredibly valuable for deep-diving into complex research or problem spaces for extended periods.

ADHD Challenges and Accommodations

1. Managing multiple parallel programmes and direct reports might be a challenge without strong organisational systems. We can help with tools like dedicated programme management software and regular check-ins.
2. The 'fuzzy front end' can sometimes lack the clear structure that some with ADHD find helpful. We'll work with you to establish personal frameworks and provide a clear programme brief.
3. Meetings can be frequent and sometimes unstructured. We encourage active note-taking, clear agendas, and follow-up summaries to keep everyone on track.

Dyslexia Positives

1. Strong conceptual thinking and pattern recognition are highly valued in innovation, often a strength for dyslexic thinkers.
2. The emphasis on visual tools (Miro, Figma) for ideation and prototyping plays to strengths in non-linear thinking.
3. Excellent verbal communication and storytelling skills (often developed as an alternative to written communication) are crucial for influencing stakeholders.

Dyslexia Challenges and Accommodations

1. Extensive written documentation and detailed reports are part of the role. We offer access to proofreading tools, AI writing assistants, and can pair you with team members for review.
2. Reading dense academic papers or patent filings can be time-consuming. We encourage the use of text-to-speech software and provide summaries where available.
3. Complex forms or administrative tasks might require extra time. We're flexible and can offer support or delegate where appropriate.

Autism Positives

1. The systematic approach to de-risking innovation (e.g., Lean Startup, Stage-Gate) can appeal to a preference for logical, structured processes.
2. Deep analytical skills and the ability to spot inconsistencies or patterns others miss are highly valuable for robust research and experiment design.
3. A strong focus on data and evidence over 'gut feelings' aligns well with the scientific method at the heart of R&D innovation.

Autism Challenges and Accommodations

1. Navigating complex social dynamics and 'covert influencing' can be draining. We can provide clear communication guidelines, pre-meeting briefs, and support in stakeholder mapping and engagement strategies.
2. Ambiguity in the 'fuzzy front end' might be unsettling. We'll work to provide as much structure and clarity as possible, breaking down large problems into smaller, more defined tasks.
3. Unexpected changes or pivots are common. We aim for transparent communication about changes and provide as much notice as possible.

Key Responsibilities

Experience Levels Responsibilities

1. Level: Lead Innovation Strategist (L4)
2. Responsibilities: Define the strategy and architecture for new innovation programmes (e.g., an internal incubator, a new H3 venture stream), translating high-level business objectives into actionable plans.
3. Build and lead a small team of 3-8 Innovation Specialists and Analysts, providing clear direction, mentorship, and day-to-day support to ensure programme objectives are met.
4. Accountable for the end-to-end success of 1-2 major innovation programmes, from initial concept validation through to a viable business case and hand-off to a scaling team.
5. Architect the 'Build-Measure-Learn' loops for complex initiatives, designing robust experiments and validation strategies to de-risk new concepts systematically.
6. Influence senior stakeholders (VP level and above) across R&D, Product, and Commercial to secure resources, gain buy-in, and overcome organisational hurdles for your programmes.
7. Develop and manage programme budgets (typically £50K-£500K), making critical investment and divestment decisions based on validated learnings and strategic fit.
8. Represent the innovation function internally and externally, presenting programme progress, key learnings, and strategic recommendations to executive leadership and external partners. They'll ask tough questions, so be ready.
9. Supervision: You'll operate with a high degree of autonomy, reporting to the Innovation Manager/Head of Lab with monthly strategic alignment meetings. Day-to-day, you're expected to self-direct and guide your team.
10. Decision: You have full authority over technical decisions within your programme domain (e.g., methodology, tool selection, experiment design). You can approve programme expenditures up to £50K without direct sign-off, and recommend larger budget allocations (up to £500K) to your manager. You'll have hiring authority for your direct reports and can make 'kill' decisions on individual projects within your programme based on validated data, though major programme pivots or cancellations require manager consultation.
11. Success: Success looks like consistently delivering well-structured, de-risked innovation programmes that generate valuable insights and tangible prototypes. Your team should be growing in capability, and your programmes should be seen as critical pathways for future company growth. Ultimately, it's about making sure our innovation efforts aren't just ideas, but actual, viable future businesses.

Decision-Making Authority

• Type: Programme Strategy & Design
• Entry: Supports Lead Strategist by researching best practices and drafting initial programme components.
• Mid: Proposes specific programme elements and contributes to overall design, with review.
• Senior: Leads the design of specific innovation initiatives within a programme, making technical and methodological decisions.
• Type: Budget Allocation & Spend
• Entry: Tracks programme expenses and flags discrepancies.
• Mid: Manages small project budgets (up to £5K), reporting spend to Lead Strategist.
• Senior: Manages initiative budgets (up to £25K), makes recommendations for larger spend.
• Type: Team Management & Development
• Entry: No direct reports. Focuses on personal learning.
• Mid: Informally mentors new joiners; provides peer feedback.
• Senior: Mentors 0-2 junior specialists; provides formal feedback and development support.
• Type: Project 'Kill' Decisions
• Entry: Escalates any project viability concerns to supervisor.
• Mid: Proposes project pivots or kills based on experiment data, with manager review.
• Senior: Recommends 'kill' decisions for initiatives within their scope, providing data-backed rationale.

Competency Requirements

Foundation Skills (Transferable)

Beyond the technical know-how, a Lead Innovation Strategist needs a solid set of foundation skills to navigate the complex world of R&D. These aren't just 'nice-to-haves'; they're essential for leading programmes, influencing stakeholders, and making sure our innovation efforts actually land.

• Category: Communication & Influence
• Skills: Executive Storytelling: Crafting compelling narratives around complex ideas for senior leadership, focusing on impact and strategic relevance.
• Cross-Functional Negotiation: Gaining buy-in and resources from diverse teams (Product, Engineering, Commercial) who have competing priorities.
• Facilitation & Workshop Leadership: Designing and leading high-impact innovation workshops (ideation, problem-framing, business model design) with diverse groups.
• Active Listening: Truly understanding stakeholder concerns, unstated needs, and underlying motivations to tailor your approach.
• Category: Strategic Thinking & Problem Solving
• Skills: Systems Thinking: Understanding how different parts of the business and market interact, and how an innovation might ripple through the entire system.
• Strategic Foresight: Identifying long-term trends, weak signals, and potential disruptions to inform future innovation pathways.
• Complex Problem Decomposition: Breaking down large, ambiguous, multi-faceted problems into manageable, testable components.
• Critical Analysis: Evaluating data, research, and experiment results with a sceptical eye, identifying biases and drawing robust conclusions.
• Category: Leadership & Development
• Skills: Team Leadership: Providing clear direction, setting expectations, and motivating a small team of innovation specialists.
• Mentorship & Coaching: Guiding junior team members in their professional development, sharing expertise, and unsticking them from challenges.
• Conflict Resolution: Mediating disagreements within the team or with stakeholders, finding constructive paths forward.
• Delegation & Empowerment: Effectively assigning tasks and trusting your team to deliver, while providing necessary support.
• Category: Adaptability & Resilience
• Skills: Navigating Ambiguity: Thriving in situations where the problem, solution, and path forward are unclear, and comfortable defining them as you go.
• Learning Agility: Rapidly acquiring new knowledge, skills, and methodologies in response to changing project needs or market shifts.
• Embracing Failure as Learning: Maintaining motivation and extracting valuable insights even when experiments don't yield expected results or projects are cancelled.
• Managing Resistance to Change: Understanding and addressing the 'corporate immune system' when introducing novel ideas.

Functional Skills (Role-Specific Technical)

These are the core methodologies, frameworks, and technical tools you'll be using day-to-day to design and run our innovation programmes. You won't just know about them; you'll be an expert in applying them.

Technical Competencies

• Skill: Design Thinking
• Desc: You're not just running workshops; you're deeply internalising the user's perspective, applying empathy, ideation, prototyping, and testing to solve complex, human-centred problems. You can teach others how to do it effectively.
• Level: Expert
• Skill: Lean Startup Methodology
• Desc: You systematically de-risk new ventures through rigorous Build-Measure-Learn feedback loops, focusing on validated learning over feature delivery. You can design entire experiment roadmaps and interpret the results to make critical pivot/persevere/kill decisions.
• Level: Expert
• Skill: Jobs-to-be-Done (JTBD) Framework
• Desc: You move beyond demographics to understand the fundamental 'progress' a customer is trying to make, which is the true driver of adoption. You can conduct deep JTBD interviews and translate insights into actionable innovation opportunities.
• Level: Advanced
• Skill: Business Model & Value Proposition Canvas
• Desc: You can structure, test, and iterate on the fundamental logic of how a new concept will create, deliver, and capture value. You're adept at using these tools to articulate and refine new business models.
• Level: Advanced
• Skill: Technology Readiness Levels (TRLs)
• Desc: You're fluent in the disciplined framework for assessing and communicating the maturity of technologies (often NASA's 9-level scale). You can lead TRL assessments and use them to inform investment decisions and roadmap planning.
• Level: Advanced
• Skill: Stage-Gate® Process
• Desc: You're an expert in managing the innovation pipeline by breaking it into distinct stages separated by management decision gates, ensuring resources are allocated to the most promising projects. You can design and implement these processes.
• Level: Expert

Digital Tools

• Tool: Miro / Mural
• Level: Advanced
• Usage: Designing custom workshop canvases, facilitating complex multi-day innovation sprints, and training junior team members on effective remote collaboration.
• Tool: Aha! / Productboard / Brightidea
• Level: Expert
• Usage: Owning and managing the entire innovation pipeline, building strategic roadmaps, running scoring models for project prioritisation, and integrating with other development tools.
• Tool: Figma / Balsamiq
• Level: Advanced
• Usage: Guiding your team in building high-fidelity, interactive prototypes for user testing, managing design systems, and ensuring consistent user experience across concepts.
• Tool: Excel (Power Query, PivotTables)
• Level: Expert
• Usage: Designing and implementing A/B tests, defining event tracking schemas, deriving deep insights from experiment data, and creating robust dashboards.
• Tool: PatSnap / Derwent Innovation
• Level: Advanced
• Usage: Conducting freedom-to-operate analyses, identifying white space opportunities, and contributing to the company's IP strategy based on technology landscaping and competitive intelligence.
• Tool: Tableau Server
• Level: Intermediate
• Usage: Building and maintaining dashboards to track innovation portfolio health, project status, and key performance indicators for leadership reporting.

Industry Knowledge

• Area: R&D Lifecycle & Commercialisation
• Desc: A deep understanding of the entire R&D process from basic research to market launch, including the challenges and critical success factors at each stage.
• Area: Intellectual Property (IP) Strategy
• Desc: Solid understanding of patenting processes, trade secrets, and how to build an IP portfolio that protects and enhances business value.
• Area: Market & Customer Dynamics
• Desc: Expertise in market research, customer segmentation, and understanding evolving customer needs and behaviours within our industry sector.
• Area: Emerging Technologies & Trends
• Desc: A broad and deep knowledge of the latest scientific and technological advancements relevant to our industry, and the ability to assess their potential impact.

Regulatory Compliance Regulations

• Reg: Intellectual Property Law (UK & EU)
• Usage: Ensuring all innovation programmes adhere to IP best practices, identifying patentable inventions, and working with legal to protect our innovations. You'll need to understand the nuances of patent applications and freedom-to-operate.
• Reg: Data Protection & Privacy (GDPR)
• Usage: Designing user research and prototyping activities to be fully compliant with GDPR, especially when handling personal data. You'll need to know what constitutes sensitive data and how to handle it responsibly.
• Reg: Ethical Guidelines for R&D
• Usage: Ensuring all research and development activities, especially those involving human subjects or sensitive technologies, meet the highest ethical standards. You'll be responsible for guiding your team on ethical considerations.

Essential Prerequisites

• Proven track record of leading complex innovation projects or workstreams from concept to validated solution.
• Demonstrable experience in applying Design Thinking, Lean Startup, or similar methodologies in a real-world R&D context.
• Experience managing or mentoring junior team members, with a focus on their development and project delivery.
• Strong ability to influence senior stakeholders and build consensus across different departments.
• Hands-on experience with innovation management software (e.g., Productboard, Brightidea) and prototyping tools (e.g., Figma).

Career Pathway Context

We're looking for someone who isn't just good at individual projects but can step up to design and run entire programmes. You should have already demonstrated the ability to take ownership, influence others, and deliver results in ambiguous environments. This role is about scaling that impact.

Qualifications & Credentials

Emerging Foundation Skills

• Skill: AI-Powered Discovery & Experimentation
• Why: AI is rapidly transforming how we conduct research, analyse data, and even design experiments. Those who can effectively use AI tools for discovery will significantly accelerate innovation cycles, spotting patterns and generating hypotheses much faster than traditional methods.
• Concepts: [{'concept_name': 'Generative AI for Hypothesis Generation', 'description': 'Using large language models (LLMs) to brainstorm novel hypotheses based on existing research, market data, and customer insights.'}, {'concept_name': 'AI-Assisted Experiment Design', 'description': 'Employing AI to optimise experimental parameters, identify potential biases, and suggest efficient testing methodologies.'}, {'concept_name': 'Automated Data Synthesis & Pattern Recognition', 'description': 'Using AI to quickly process vast datasets (e.g., user feedback, market trends, scientific literature) and identify non-obvious correlations or emerging patterns.'}, {'concept_name': 'Ethical AI in R&D', 'description': 'Understanding the ethical implications of using AI in research, ensuring fairness, transparency, and avoiding bias in data and outcomes.'}]
• Prepare: This month: Experiment with public LLMs (ChatGPT, Claude) for brainstorming and summarising research papers relevant to your current programmes.
• Next quarter: Identify one specific area in your current programme where AI could accelerate data analysis. Pilot an AI tool (e.g., an AI-powered research assistant) and measure the time savings.
• Next 6 months: Participate in an online course or workshop on 'AI for Scientific Discovery' or 'AI in R&D' to deepen your understanding of practical applications.
• Next 12 months: Lead a small internal project to integrate an AI-powered tool into one of your programme's core research or analysis workflows, documenting the process and learnings.
• QuickWin: Start using AI tools to draft initial research briefs or competitive analysis summaries. It's a low-risk way to get familiar with the capabilities and limitations.
• Skill: Ecosystem & Platform Thinking
• Why: Innovation is rarely a solo act anymore. Future growth will increasingly come from designing solutions that integrate into broader ecosystems or leverage platform business models. Lead Strategists will need to think beyond individual products to entire networks of value creation.
• Concepts: [{'concept_name': 'Platform Business Models', 'description': 'Understanding how platforms create value by connecting multiple user groups and facilitating interactions, and how to design for network effects.'}, {'concept_name': 'Strategic Partnerships & Alliances', 'description': 'Identifying, evaluating, and structuring collaborations with external partners (start-ups, academia, other corporations) to accelerate innovation.'}, {'concept_name': 'Open Innovation Frameworks', 'description': 'Designing processes to systematically source ideas, technologies, and talent from outside the organisation to complement internal R&D efforts.'}, {'concept_name': 'Value Chain Orchestration', 'description': 'Understanding how to orchestrate complex value chains involving multiple players to deliver holistic solutions to customers.'}]
• Prepare: This quarter: Read 'Platform Revolution' or 'The Cold Start Problem' to get a foundational understanding of platform business models.
• Next 6 months: Map the existing ecosystem around one of your current innovation programmes. Identify potential partners or integration points.
• Next 12 months: Propose a strategic partnership or an open innovation challenge for one of your programmes, outlining the potential benefits and risks.
• Next 18 months: Lead the design of a new innovation programme that explicitly leverages an ecosystem or platform strategy, demonstrating how it creates value beyond a single product.
• QuickWin: Identify a small, complementary start-up or academic group that could provide a missing piece for one of your current projects. Initiate an exploratory conversation.

Advancing Technical Skills

• Skill: Advanced Data Modelling for Innovation Portfolio
• Why: As our innovation portfolio grows, we'll need more sophisticated ways to assess risk, forecast potential returns, and make data-driven investment decisions. Your ability to build and interpret these models will be crucial.
• Concepts: [{'concept_name': 'Monte Carlo Simulations', 'description': 'Using probabilistic modelling to simulate potential outcomes and assess the range of risks and returns for innovation projects.'}, {'concept_name': 'Real Options Analysis', 'description': 'Applying financial options theory to value and manage innovation investments, recognising the flexibility to defer, abandon, or expand projects.'}, {'concept_name': 'Multi-Criteria Decision Analysis (MCDA)', 'description': 'Developing frameworks to evaluate projects against multiple, often conflicting, strategic criteria beyond just financial metrics.'}]
• Prepare: This month: Review existing literature on innovation portfolio management and advanced valuation techniques.
• Next quarter: Build a simple Monte Carlo simulation for a hypothetical innovation project to understand its risk profile.
• Next 6 months: Work with Finance to understand their current valuation models and identify opportunities to integrate more innovation-specific metrics.
• Next 12 months: Lead the development of a new, more robust portfolio valuation model that incorporates TRLs, market uncertainty, and strategic fit.
• QuickWin: Start incorporating simple sensitivity analysis into your current business cases to show how different assumptions impact outcomes.

Education Requirements

• Level: Minimum
• Req: A Bachelor's degree (OFQUAL Level 6) in a relevant field such as Engineering, Science, Business, Design, or a related technical discipline.
• Alts: We're open to candidates with equivalent practical experience (typically 10+ years) demonstrating a strong track record in R&D innovation and strategic leadership, even without a formal degree.
• Level: Preferred
• Req: A Master's degree (OFQUAL Level 7) or PhD in a relevant scientific, engineering, or business discipline (e.g., Innovation Management, Industrial Design, Materials Science, MBA).
• Alts: Significant experience (12+ years) in leading complex innovation programmes, coupled with recognised industry certifications, can often substitute for a Master's degree.

Experience Requirements

You'll need roughly 8-12 years of progressive experience in innovation, R&D, product development, or strategic consulting, with a significant portion (at least 3-5 years) specifically focused on leading innovation initiatives. This isn't an entry-level leadership role; you should have a proven track record of designing and running programmes, managing small teams, and influencing senior stakeholders. We're looking for someone who has genuinely 'been there, done that' when it comes to bringing new ideas to life within a corporate setting.

Preferred Certifications

• Cert: Certified Design Thinking Facilitator
• Prod: Various (e.g., IDEO U, Luma Institute)
• Usage: Demonstrates formal training and expertise in leading human-centred design processes, critical for programme design.
• Cert: Lean Startup Practitioner / Coach
• Prod: Various (e.g., Lean Startup Co., Strategyzer)
• Usage: Validates your ability to apply rigorous experimentation and validated learning principles to de-risk innovation projects.
• Cert: Programme Management Professional (PgMP)
• Prod: Project Management Institute (PMI)
• Usage: Shows a structured approach to managing complex, multi-project programmes, which is highly relevant for this role's scope.

Recommended Activities

• Regularly attending industry conferences and workshops focused on innovation, R&D strategy, and emerging technologies.
• Subscribing to leading innovation journals or research publications to stay abreast of new methodologies and trends.
• Participating in cross-industry innovation networks or communities of practice to exchange ideas and best practices.
• Seeking out opportunities to mentor junior colleagues and present your work to broader internal audiences.
• Enrolling in executive education courses on strategic innovation or corporate entrepreneurship.

Career Progression Pathways

Entry Paths to This Role

• Path: Senior Innovation Specialist (L3)
• Time: 3-5 years
• Path: R&D Project Lead / Manager
• Time: 5-7 years
• Path: Strategic Consultant (Innovation Focus)
• Time: 4-6 years

Career Progression From This Role

• Pathway: Innovation Manager / Head of Lab (L5)
• Time: 3-5 years

Long Term Vision Potential Roles

• Title: Director of Innovation (L6)
• Time: 5-8 years from Lead Strategist
• Title: VP, R&D Strategy (L7)
• Time: 8-12 years from Lead Strategist
• Title: Chief Innovation Officer (CINO) (L7)
• Time: 10-15 years from Lead Strategist

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.