JOB SUMMARY
The Director of Data & Analytics Product Management is responsible for defining and executing the organization's enterprise data and analytics product strategy. This position leads a portfolio of data, analytics, reporting, and artificial intelligence products that expand the organization's ability to generate insights, share information, improve operational performance, and advance strategic objectives.
The Director establishes the product vision, roadmap, investment priorities, and governance practices for the organization's data and analytics product portfolio. Working closely with executive leaders and stakeholders across business functions, operations, finance, and technology, the Director translates organizational needs into scalable, secure, and user-centered data and analytic products and capabilities.
This position leads a multidisciplinary team responsible for product management, data product engineering, analytics delivery, and related capabilities. The Director oversees the entire product lifecycle, including discovery, business case development, prioritization, design, development, implementation, adoption, performance measurement, and continuous improvement. The role ensures that product investments are aligned with organizational strategy, technical architecture, data governance requirements, and measurable business outcomes.
The Director serves as a senior advisor to organizational leaders on data and analytic product opportunities, analytics capabilities, artificial intelligence, emerging technologies, and approaches for increasing the value of the organization's data assets. The position also represents the data and analytics product function in enterprise planning, vendor engagements, and external partnerships.
PRIMARY JOB RESPONSIBILITIES
Data and Analytics Product Strategy
•Define, communicate, and execute the organization's enterprise data and analytics product strategy in alignment with organizational priorities, business objectives, and technology strategy.
•Establish a clear product vision and multiyear roadmap for enterprise data, analytics, reporting, artificial intelligence, and information-sharing products.
•Identify and evaluate opportunities for new data and analytic products, analytical services, AI-enabled capabilities, and reusable data assets that increase the value, accessibility, and responsible use of organizational data.
•Translate organizational strategies and complex business challenges into clear product opportunities, investment recommendations, and actionable delivery plans.
•Develop product business cases that articulate user needs, expected outcomes, resource requirements, dependencies, risks, and anticipated organizational value.
Product Portfolio Leadership and Governance
•Lead the planning, prioritization, and management of a portfolio of enterprise data and analytics products, balancing near-term requirements with long-term strategic investments.
•Establish and manage a transparent product intake, evaluation, prioritization, and roadmap-planning process.
•Define portfolio governance practices, decision rights, prioritization process, product standards, and performance expectations across the data and analytics product lifecycle.
•Evaluate product performance and portfolio health using clearly defined objectives, key results, adoption measures, service-level expectations, business outcomes, and return-on-investment indicators.
•Lead quarterly and annual product planning processes, including resource allocation, dependency management, capacity planning, and roadmap adjustments.
•Identify and proactively manage product risks, technical dependencies, data limitations, implementation barriers, and organizational change impacts.
•Establish processes for retiring, consolidating, or modernizing products that no longer meet business, technical, or user requirements.
Product Development and Lifecycle Management
•Oversee the full lifecycle of data and analytics products, from user research and discovery through design, development, launch, adoption, support, and continuous improvement.
•Lead the development and delivery of scalable data products, curated datasets, analytics applications, dashboards, data pipelines, APIs, decision-support tools, and AI-enabled solutions.
•Ensure product teams apply user-centered product management practices, including stakeholder interviews, requirements definition, prototyping, usability testing, and structured feedback collection.
•Translate business needs into clear product requirements, user stories, acceptance criteria, roadmaps, and measurable success indicators.
•Establish product management standards and reusable practices for discovery, documentation, backlog management, release planning, testing, deployment, support, and product performance evaluation.
•Partner with data architecture, engineering, analytics, security, and governance teams to ensure products are scalable,