Technical Product Manager

Seeking a Technical Product Manager with expertise in data to collaborate with Analytics and Data Engineering teams, drive critical initiatives, and deliver innovative products in the central Data & Analytics organization. This role involves owning the team's vision, ensuring project prioritization aligns with business objectives, and maintaining strong communication with stakeholders. You will report to the VP of Data & Analytics and be responsible for the success of internal data products that influence decision‑making across all levels.

• Define and drive the strategy and roadmap for world‑class data solutions, managing teams to execute and deliver on the visions vital to the success of business units across global partners in a way that is scalable and reliable.
• Leverage technical knowledge, subject‑matter expertise, and understanding of trends to influence business direction and decision‑making.
• Work with cross‑functional teams—including data scientists, data analysts, engineering, and business partners—to translate business needs into initiatives with well‑defined requirements.
• Identify new business opportunities and develop analytic solutions balancing impact, cost, timeline, and analytic risks; manage and monitor business‑critical metrics to ensure data integrity and utility.
• Continuously interact with stakeholders across the org to gather feedback, prioritize it, and transform it into actionable product requirements, ensuring a unified and intuitive end product for all things data & analytics.
• Create and maintain high‑impact documentation for various stages of the data product lifecycle, collaborating with data teams, analytics, the PMO, and other business units; effectively communicate project statuses, wins, and strategies at various organizational levels—champion a demo‑day mindset.
• Partner in setting the vision and direction for the team, and build a product‑led mindset to culture success; help drive technical discussions, lead product reviews, and design process and strategy frameworks to maximize business value.
• Drive the integration or application of advanced technologies, machine learning, and artificial intelligence across organizations in our vertically integrated business.
• Develop and manage end‑to‑end roadmaps, ensuring timely delivery, performing risk assessments, and implementing change‑management strategies for optimal go‑to‑market rollouts.
• Establish transparent communication channels with internal and external stakeholders, building strong, influential relationships and ensuring alignment with product goals and objectives.
• Oversee product for our data governance programs, collaborating with teams to ensure that data is brought into the planning stage of every product, while working to plan and support data retention needs and ensuring compliance across products internal and external.

• Bachelor’s degree in a relevant field such as Business, Computer Science, or a related quantitative discipline.
• Minimum of 5+ years of experience in data product management or related roles, with a focus on data products and technology projects.
• Proven track record in driving product vision, from roadmap conception to launch, and making significant impacts on customer experience and business metrics.
• Previous experience working closely with cross‑functional teams, especially development teams comprising software engineers, data scientists, and analysts.
• Demonstrated ability to communicate complex technical concepts effectively to both technical and non‑technical audiences.
• Strong grasp of data management principles, including data modeling, governance, and compliance, bolstered by hands‑on experience in data analysis and actionable insights derivation.
• Proficient in Agile frameworks (Scrum, Kanban, Crisp‑DM) and experience working in an Agile environment.
• Familiarity with the modern data stack and serverless frameworks (e.g., Snowflake, dbt, fivetran, databricks, K8s, Docker, Terraform, etc.) as well as familiarity with system integrations, API frameworks, and databases.
• Strong analytical abilities, adept at solving complex problems using data tools and SQL (Python or R…