Finance Data Product Lead – Data & Analytics

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. About Broadridge: Broadridge Financial Solutions is a global fintech leader providing technology, communications and data-driven solutions that power the financial services industry. We help businesses improve operational efficiency, enhance client experiences and make better decisions through innovative technology and data solutions. At Broadridge, we believe our people are at the heart of our success. We foster a culture built around collaboration, innovation, accountability and continuous learning, where employees have the opportunity to work on meaningful, business-critical solutions and build long-term careers. Job Summary The Finance Data Product Lead – Data & Analytics owns the design and support of data products, interfaces and processes in the Finance data ecosystem, spanning upstream systems (ERP and homegrown), the enterprise data platform, and consuming application integration. This role is accountable for defining, supporting and governing scalable data products and processes, ensuring data integrity and reliability at enterprise scale, and acting as a trusted speaking partner to IT, Finance, and external service providers. The role also focuses on monitoring, issue resolution, process standardization, data governance, and stakeholder communication, while guiding Level 1 resources and working closely with Level 2/3 IT support teams to drive long-term stability and continuous improvement. Key Responsibilities Lead product discovery by gathering requirements from stakeholders, users, and technical teams. Design, implement, and govern data quality controls, reconciliation frameworks, and exception management mechanisms. Define the vision, strategy, and roadmap for data products aligned with business goals. Translate business needs into clear product requirements, user stories, and delivery plans. Prioritize initiatives based on business value, technical feasibility, user needs, and strategic fit. Identify high-impact opportunities where data products can improve decision-making, operations, or customer experience. Partner with data engineers, analysts, and business leaders to deliver data products. Drive implementation of data products in data platforms, dashboards, semantic layers, self-service analytics tools, APIs, and ML-enabled solutions. Establish KPIs and success metrics to measure adoption, usability, data quality, and business impact. Champion data quality, governance, documentation, and trust across products. Ensure data products are intuitive, accessible, and fit for purpose for target users. Manage stakeholder communication, expectations, timelines and risks. Continuously improve products through feedback, usage insights, and performance measurement.