Staff Data Science Product Manager

We are representing a confidential entertainment technology client in their search for a Staff Data Science Product Manager based in London. This is a strategic, individual contributor role at the intersection of product, data science, and engineering—focused on analytics, experimentation, and customer lifetime value (CLV/LTV) modelling.

Responsibilities

• Lead discovery and definition of ambiguous, high-impact AI/ML problem spaces that require coordination across teams, including applications that improve understanding of user value and value drivers
• Drive alignment across squads to ensure coordinated execution and avoid duplication of effort
• Identify opportunities to scale solutions, reuse components, and standardize approaches across analytics, experimentation, forecasting, and value modelling use cases
• Own product thinking across the end-to-end ML lifecycle, from opportunity framing and evaluation design through deployment, monitoring, iteration, and long-term value realization
• Own prioritization across multiple squads, balancing business impact, feasibility, technical maturity, adoption potential, and resource constraints
• Partner with analytics partners and senior data science and product leaders to align work to business strategy
• Shape how analytics work is sequenced and balanced across new feature development, operationalization, and productization, including roadmaps for technical ML teams
• Partner with data science leaders to ensure statistical rigor and methodological consistency across experimentation, modelling, forecasting, and user value analysis
• Drive adoption of experimentation and value-based analytical techniques as core decision-making tools across business functions
• Coordinate work across multiple squads to deliver integrated analytics solutions
• Influence stakeholders across functions to drive alignment and execution
• Drive thinking around scalability, reuse, and long-term sustainability of analytics solutions, particularly where shared capabilities can improve understanding of user value
• Partner with AI/ML Engineering to transition high ROI, high SLA capabilities into scalable, production-grade systems
• Define success criteria for analytics and ML products, including business impact, adoption, reliability, interpretability, and operational sustainability
• Ensure successful adoption of AI/ML capabilities by end users
• Ensure analytics and ML capabilities are embedded into business workflows and decision-making processes
• Advocate for investments in shared capabilities and platforms when beneficial
• Engage with business stakeholders to understand needs, gather feedback, communicate progress, and clarify how analytics and ML outputs inform user value understanding
• Communicate outcomes and impact of analytics initiatives clearly and effectively, including how they support business understanding of value, growth, and customer lifecycle dynamics
• Define and promote best practices for analytics product management, including prioritization, experimentation, and lifecycle management
• Mentor and support other analytics, experimentation, and product leads
• Identify gaps in how work progresses through the lifecycle and drive improvements
• Raise the overall quality and consistency of work across teams
• Create the conditions for high-performing data science and ML teams by clarifying priorities, reducing delivery friction, and strengthening cross-functional ways of working

What We're Looking For

Required qualifications:

• Bachelor's degree in Business, Data Science, Computer Science, or a related field
• 12+ years of relevant experience, including 6+ years in digital product management
• Proven experience leading complex, cross-functional initiatives involving data science and engineering teams
• Proven experience partnering with high-performing data science, ML, and engineering teams to ship production-grade products that deliver measurable business outcomes
• Strong understanding of data science workflows, including experimentation, modeling, forecasting, value analysis, and productionization
• Demonstrated ability to operate in highly ambiguous environments and drive alignment across teams
• Experience influencing prioritization and decision-making across multiple teams or domains
• Experience in Agile product management methodologies and working with cross-functional squads
• Strong communication and stakeholder management skills, including working with senior leaders
• Strong mentorship skills and experience elevating the capabilities of other product managers or analytics leaders

Preferred skills:

• Proven ability to evaluate tradeoffs in scaling AI/ML solutions, balancing model sophistication with reliability, performance, interpretability, and operational complexity in production environments
• Experience defining quality standards and success metrics for analytics and ML products, including adoption, reliability, interpretability, and business impact
• Familiarity with analytics and data tools such as SQL, Python, or similar
• Experience with experimentation and measurement frameworks (A/B testing, causal inference, incrementality) or related analytical approaches such as forecasting, scenario modeling, CLV/LTV modelling, and model evaluation
• Ability to operate effectively in fast-paced environments and manage multiple initiatives simultaneously
• Experience identifying opportunities for reuse, platform development, and scaling analytics capabilities
• Demonstrated ability to partner effectively with other product management teams and cross-functional leaders, operating as a unified team to deliver cohesive strategies and stakeholder messaging

How We Work With You

Our talent team at Get A Job.ai partners with exceptional organizations to connect them with senior product and data science leaders. When you apply:

• You'll submit your application through the Get A Job.ai platform
• One of our experienced recruiters will screen your background and qualifications
• If there's a strong match, we'll submit your profile to our client for consideration
• Please do not contact the client directly—all communication should go through Get A Job.ai

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Opportunity: Get A Job.ai is committed to equal employment opportunity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.