Turn Data Confusion Into Product Velocity.
I partner with UK tech leads, consultancies, and growing SMEs to realign engineering teams, design high-yielding data strategies, and transform underutilised data assets into distinct commercial outcomes.
Fractional Leadership | Strategic Advisory | Contract & Freelance Retainers
Strategic Vision.
Autonomous Delivery.
Most organisations don’t have a data shortage—they have an execution bottleneck. They are stuck in a cycle of reactive, passive reporting, burning valuable sprint cycles on tech-led outputs rather than business-led outcomes.
My approach is unashamedly entrepreneurial: I help teams work smarter, not harder.
I don’t deal in bloated slide decks, vanity metrics, or generating documentation that gathers digital dust. I am a relentless solution finder. My value lies in the 'make it so' factor - the ability to walk into an ambiguous, fast-moving environment, instantly spot the friction point, and map out a bulletproof plan.
Absolute Accountability, Zero Hand-Holding.
You can trust me to operate with total autonomy. Whether I am working entirely alone to overhaul an architectural bottleneck, or embedding directly within your existing product and engineering squads to inject velocity, I drive the mission to completion. I don't need a map; I just need an objective, and I will lead the team or build the solution to achieve it.
How I Help Your Teams
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Action: Stop tracking everything and measuring nothing. I audit your current data maturity, stripping out legacy noise to ensure your metrics directly underpin your 6-to-12 month commercial milestones.
Outcome: Your leadership team gains a lean, actionable blueprint to eliminate data waste and focus entirely on high-value analytics.
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Action: Bridging the gap between commercial strategy and engineering execution. I reorganise your development backlog around hard outcome delivery, ensuring your tech team stops wasting cycles on low-impact features.
Outcome: A highly aligned product engine that ships features 45% faster by focusing on customer value over ticket volume.
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Action: Translating complex technical engineering (Medallion Architecture) into user-centric capabilities. I define the product roadmaps required to transition your data from a costly operational headache into a scalable asset.
Outcome: Moving your organisation seamlessly from basic, reactive reporting toward predictive capabilities and secure, ethical AI deployment.
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Action: Injected leadership for your internal Business Analysts and Product professionals. I instil modern, agile, outcome-based frameworks that shift their mindset from passive 'requirement-takers' to proactive value-drivers.
Outcome: A highly motivated, autonomous team that works smarter, resolves problems independently, and reduces your long-term dependency on expensive external consultancies.
What this looks like in practice
Smarter Execution
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The Pain Point: The data team was caught in a cycle of reactive, slow data discovery loops. A highly complex legacy data infrastructure meant that data engineering pipelines were treated as internal tech tasks rather than agile products. Valuable engineering sprint cycles were being burned on low-impact feature processing, causing a massive delivery lag between initial data discovery and live Machine Learning model deployment.
The Approach: I took full product and technical leadership of a multi-disciplinary engineering squad to shift the team's focus toward outcome-based delivery. Applying Medallion Architecture (Bronze, Silver, and Gold) principles, I led the end-to-end design of a "Gold-standard" Performance Data Product. We built scalable cloud pipelines on AWS and curated reusable, production-ready "Gold" layer datasets tailored specifically for immediate consumption by AWS SageMaker and Power BI.
The Outcome:
Slashed feature engineering loops by 45%, radically speeding up the time-to-value for high-impact predictive ML models.
Created a high-velocity foundation for live, business-critical features, including automated productivity tools and predictive claimant support frameworks.
Established a scalable, reusable data product infrastructure that eliminated redundant engineering tasks across core service teams.
Solution Finder
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The Pain Point: The organisation was data-rich but insight-poor, paralyzed by risk-averse, bureaucratic security policies and sign-off processes. These systemic bottlenecks delayed critical data science initiatives for months, suffocating operational agility. Simultaneously, a heavy reliance on bloated, expensive external tech vendors was draining the annual commercial budget.
The Approach: Rather than working around the bureaucracy, I took accountability to overhaul it from the ground up. I redesigned the risk-and-security sign-off procedures, implementing pragmatic guardrails and automated workflows to maintain rigorous public trust without sacrificing delivery speed. Additionally, I bypassed vendor dependency by championing and building an in-house Text Analytics and NLP pipeline capability.
The Outcome:
Reduced Time-to-Insight by 92%, instantly unblocking high-value data science projects and accelerating model deployment.
Saved £1M annually in recurring operational costs by completely replacing expensive external vendor software with our in-house NLP pipeline.
Utilised the new text analytics engine to map sentiment and topic modeling across user initiatives, successfully identifying and eliminating the root causes of operational failure demand (such as complaints and disputes).
Commercially Ambitious
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The Pain Point: The internal data and product teams were acting as passive, order-taking ticket processors rather than value drivers. Stakeholder requests were vague, leading to a bloated backlog of basic, retrospective reporting requests. This lack of strategic product direction resulted in an inefficient internal delivery programme, inflated operational costs, and underutilised data assets.
The Approach: I stepped in as a strategic advisor to realign the technical roadmap with hard, ROI-focused outcomes. I introduced Design Thinking principles to run intensive discovery workshops, successfully translating fuzzy, ambiguous operational challenges into a prioritised, lean Minimum Viable AI Product roadmap. To make the change permanent, I established a comprehensive data product operating model, built a formal product catalogue with strict success metrics, and personally mentored the internal Business Analyst and data engineering teams on agile delivery frameworks.
The Outcome:
Successfully shifted the entire organizational delivery pipeline from backward-looking reporting to high-value predictive capabilities, such as automated referral recommendations.
Cut internal delivery programme costs by 30% by eliminating operational waste and structural inefficiencies.
Embedded a highly autonomous, outcome-based product culture, leaving behind an upskilled internal team capable of running complex discovery workshops independently.
Ready to inject velocity into your product engine?
Let’s identify your team's current data bottlenecks. Get in touch for an initial chat to see how we can optimise your delivery pipeline.