Role overview
Own the strategy and delivery of shared data distribution capabilities used by multiple product teams and customers. You’ll set a 12-month direction for channels such as file delivery, streaming, cloud data sharing, and analytics access, balancing adoption, reliability, cost, and customer value.
Responsibilities
- Define the product vision and roadmap for internal and customer-facing distribution channels, and guide feature and content development.
- Discover opportunities across the data ecosystem, assessing new channels, data content, providers, and solutions using evidence and stakeholder input.
- Work with product teams to identify shared needs and prioritize platform capabilities that can serve multiple groups.
- Lead backlog planning and delivery with product and engineering partners, including refinement and prioritization in tools such as Jira and Productboard.
- Increase adoption across teams, expand available data, and help teams manage their own data pipelines.
- Improve channel reliability, operational efficiency, and cost; set success measures and use performance and adoption data to drive changes.
- Communicate roadmap progress to internal stakeholders and support customer-facing groups; evaluate external partners that could strengthen distribution.
Requirements
- At least five years in product management, including three or more years delivering shared or platform products adopted across multiple teams.
- Experience with data delivery products such as file transfer, streaming, APIs, warehouses, or data-sharing services.
- Strong product discovery, vision-setting, roadmap, prioritization, and delivery skills.
- Understanding of data products, pipelines, and streaming or event-driven systems.
- Experience with Agile or Scrum practices and backlog management; familiarity with Jira.
- Ability to use SQL with data warehouses to assess usage, cost, and data quality.
- Knowledge of data-sharing technologies, open formats, observability, telemetry, dashboards, and alerting.
- Clear communicator who can align stakeholders, make evidence-led decisions, and manage constraints.
Nice to have
- Knowledge of energy, maritime, or commodities data; enterprise B2B data products; or cloud cost management and FinOps.
- Experience with data-sharing partners, marketplaces, or commercial vendor relationships.