Senior Product Director (Platform)

Key Responsibilities

• We are seeking a Senior Director, Platform in London (hybrid) to lead our platform product organisation through one of the most consequential chapters in Xceptor’s history
• This role requires innovative thinking and the ability to deliver impactful change at pace – we are building the next generation of an AI-native data automation platform, transforming a proven financial services data platform into an intelligent, scalable foundation for mission critical operations that matter most
• You will own the platform product strategy end-to-end: driving the migration of our legacy capabilities into our new platform architecture, while simultaneously defining and delivering the AI and ML capabilities that will differentiate Xceptor for years to come
• You will work at the intersection of product, engineering, and data science – translating deep domain expertise and proprietary insight into intelligent platform capabilities that no competitor can replicate
• Equally, the platform you build has a direct line to commercial impact. Our solution teams across tax, trading, and financial operations are internal clients of the platform – and the speed, quality, and intelligence of what they can bring to market depends on what you build
• You will define the internal service model that governs how platform capabilities are consumed, prioritised, and evolved in response to their needs, creating a tight feedback loop between platform investment and commercial outcomes
• Define and own the platform product strategy and roadmap, spanning both the transformation of legacy capabilities and the build-out of next-generation AI and ML functionality
• Establish a clear, differentiated vision for how Xceptor’s proprietary data and domain expertise becomes the foundation for intelligent, agentic workflows across trading, tax, and financial operations
• Drive 0-to-1 execution on new AI/ML platform capabilities – from concept through to scalable, production-ready product
• Continuously evolve the platform strategy in line with advances in AI, changing customer needs, and Xceptor’s expanding market position
• Own the product strategy for migrating legacy platform capabilities into Xceptor’s new platform architecture – sequencing, prioritising, and managing the complexity of transformation without disrupting existing customers
• Define clear migration paths and deprecation strategies, working closely with engineering to de-risk delivery and maintain platform stability throughout
• Embed platform transformation as a first-class product discipline, with the same rigour applied to new capability development
• Lead the definition and delivery of Xceptor’s AI and ML platform capabilities – including intelligent data processing, predictive enrichment, agentic workflow automation, and model lifecycle management
• Work directly with data science, engineering, and customer-facing teams to identify real enterprise use cases and abstract them into scalable, durable platform patterns
• Drive a model-informed product approach – tracking key AI performance metrics (accuracy, latency, model reliability) and using data to continuously improve platform intelligence
• Ensure AI capabilities are built with the governance, auditability, and explainability standards required by financial services clients
• Own and drive the prioritisation of platform work across teams and domains
• Establish and embed effective product operating models and governance for platform delivery in a complex, fast-moving environment
• Balance competing demands across product, engineering, and business stakeholders
• Partner closely with engineering leadership to ensure alignment on priorities, sequencing, and delivery
• Drive coordination across multiple teams and tribes, managing complex cross-functional dependencies
• Influence and align senior stakeholders across product, engineering, and business functions- including executive leadership
• Define the platform’s internal service model – SLAs, consumption patterns, prioritisation governance
• Act as the product interface between platform and the solution teams
• Build feedback loops so solution team needs shape the platform roadmap
• Act as the key interface between product and engineering at the platform level, ensuring platform investments are connected to product priorities and customer outcomes
• Ensure delivery of high-quality, scalable platform capabilities that enable product and engineering teams to operate effectively
• Enable consistent execution across teams through strong product leadership and clear direction
• Champion strong API design, platform extensibility, and internal client service model to ensure both platform and solutions KPIs are successful
• Lead, develop, and scale a team of product managers and leaders across platform domains
• Establish clear standards for product management excellence within the platform function – including rigorous discovery, sharp prioritisation and outcome-driven delivery
• Build a strong, collaborative culture across product, engineering and data
• Drive improvements in platform capabilities, processes, and performance
• Identify opportunities to increase efficiency, reduce duplication, and improve developer productivity
• Ensure the platform evolves to support future growth and complexity

This role requires someone who is AI-native by instinct – someone who treats AI as a high-trust collaborator in how they think, build, and lead, and who can bring that mindset to an organisation in transformation

We’re looking for a senior technical product leader who combines deep platform expertise with genuine AI technical fluency – someone who has built and scaled complex data or AI platforms, and who brings the strategic ambition and executional rigour to lead Xceptor’s platform into its next era

Qualifications

We know that not everyone ticks every single box in a job description — and that’s okay. If you’re excited about this role and think you could make a difference, we’d love to hear from you.

• A Bachelor’s degree in Computer Science, Engineering, or a related technical field is required.
• Strong understanding of how platform capabilities underpin product outcomes, customer value, and commercial growth.
• Minimum 10 years of product management experience, including leadership of platform, infrastructure, or technical product organisations.
• Proven track record of launching new platform capabilities from vision through to scale.
• Demonstrable AI fluency – you use AI tools natively in how you work, think, and build; you understand LLMs, ML model lifecycles, and agentic systems well enough to drive meaningful product decisions.
• Proven ability to influence senior stakeholders across product, engineering, data science, and business leadership – including the executive team and board.
• Comfort with AI infrastructure concepts: model serving, inference performance, feature engineering, and data pipelines.
• Experience in financial services, fintech, or regulated data‑intensive industries is a strong advantage.
• Strong stakeholder management in environments with high complexity, multiple competing priorities, and fast‑changing requirements.
• Familiarity with data governance, lineage, and auditability – particularly in regulated industries.
• Ability to work across the full AI product lifecycle – from identifying use cases and defining requirements through to model performance monitoring and iterative improvement.
• Experience defining and delivering AI or ML platform capabilities in production environments, ideally within enterprise SaaS or data platform companies.
• Deep understanding of modern platform architecture, APIs, data and integration layers, and scalable cloud‑native infrastructure.
• Ability to balance long‑term platform strategy with near‑term transformation and delivery demands.
• Experience leading platform transformation or migration programmes – moving from legacy architectures to modern, scalable platforms while managing continuity for existing products and customers.
• Ability to connect platform investment decisions to customer impact, competitive differentiation, and business strategy.
• Ability to build clarity, alignment, and accountability across teams in ambiguous, fast‑evolving environments.
• Experience aligning multiple teams and domains around shared goals and sequenced delivery plans.
• Experience leading and developing high‑performing product teams, including coaching senior PMs and building team capability.
• Ability to operate effectively in highly technical, engineering‑led environments and earn credibility with senior engineers and architects.
• Experience establishing and scaling product operating models for platform teams, including prioritisation frameworks and governance approaches.

Benefits

• Private medical insurance
• 4x salary life assurance
• Company pension scheme with 4% employer contribution
• Employee assistance programme
• Enhanced mental health and wellbeing resources
• Everyday lifestyle savings
• Flexible benefits platform
• 25 days annual leave
• A day off for your birthday
• A volunteer day to invest in a charity or community-based work of your choosing
• 5 days to invest in your continued learning and professional development
• Flexible working policy
• Access to the #1 app for meditation and sleep – Calm
• 80% coverage of the cost of medical, dental, and vision insurance for EE. 65% coverage of the cost for EC, ES, or EF (dependent on scheme guidelines)
• FSA healthcare benefits
• Commuter benefits
• 401k employer-matched retirement account contributions
• 2x annual salary life insurance

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