Sr Manager, Data Products & Strategy
HybridLondon, England, United Kingdom
Job Summary
Define and own the strategic direction and prioritisation of the data, reporting, analytics, and data science portfolio, aligning investments to business objectives and measurable outcomes. Identify opportunities where data, analytics, automation, AI, and data science can create commercial value, improve customer outcomes, or increase operational efficiency. Lead data product strategy and ownership, translating business needs into clear problem statements, success measures, delivery priorities, and adoption plans before work enters technical delivery teams. Establish and maintain value-based prioritisation frameworks to ensure resources are focused on initiatives that deliver the greatest strategic impact. Collaborate with stakeholders across Product, Operations, Commercial, Finance, Risk, Compliance, and Technology to manage reporting solutions, ensuring a single source of truth for insights. Identify automated processes for insight delivery, including self-serve functionality for leaders, and coordinate with reporting teams to align on common reports, definitions, and data sources. Assess, monitor, and enhance service level agreements, ensuring compliance and continuous improvement while championing data governance, metric consistency, and reporting standards. Measure, track, and communicate the business impact of data products to ensure adoption and intended outcomes. Requires at least 3 days in office.
Required Qualifications
- Relevant experience in data strategy, analytics, business intelligence, data products, consulting, product management, or related disciplines
- Bachelor's degree, or equivalent experience with an advanced degree
- Demonstrated experience translating business priorities into data, analytics, reporting, AI, or data science initiatives that deliver measurable business outcomes
- Strong understanding of reporting, analytics, data science, AI/GenAI, data governance, and modern data platforms
- Ability to challenge and shape technical solutions without requiring hands-on engineering expertise
- Experience working in big data environments
- Experience working in an Agile or fast-paced and dynamic environment
- Experience defining business requirements, problem statements, success measures, and adoption plans for strategic data products and initiatives
- Strong stakeholder management and influencing skills
- Ability to communicate complex technical and data concepts clearly to senior business and executive audiences
- Experience in service level management, SLA reporting, or similar roles within technology-driven environments
- Visa requires at least 3 days in office
Desired Qualifications
- Extensive experience operating within payments, fintech, financial services, or other regulated industries
- Experience leading or supporting data science, advanced analytics, AI, or Generative AI initiatives, including identifying opportunities, defining use cases, and measuring business outcomes
- Strong understanding of modern analytical and reporting platforms such as Tableau, Power BI, Snowflake, or equivalent technologies
- Experience establishing data governance frameworks, reporting standards, metric definitions, and data quality practices across complex organisations
- Demonstrated success developing prioritisation frameworks, operating models, or portfolio management approaches for data and analytics organisations
- Experience influencing senior executives and stakeholders through strategic recommendations, business cases, and evidence-based decision-making
- Experience working in a matrixed organization and adapting to a fast-paced work environment
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