Lead Data Product Owner, Dynatrace

• 6+ years in data product management, analytics, BI or data management
• Bachelor's in Business, Information Systems, Data Analytics, Computer Science or a related field

Desirable

• Dynatrace's Data & Analytics organization is on a mission to build a scalable, AI-ready and self-service data ecosystem across the company
• As part of this mission, we are standing up a Data Product Management capability to proactively manage our internal data products, the canonical models, metrics and dashboards that serve as shared sources of truth across the business
• This function bridges business and data teams — guiding quality and governance, coordinating execution and driving adoption
• Without it, data teams complete tickets instead of building lasting solutions
• We are seeking a Lead Data Product Owner to own and advance a portfolio of data products serving the Customer domain — Customer Success, Support and Product — with customer data products also serving Sales
• This person is accountable for the reliability, value and data maturity of the domain's core data assets — ensuring that what gets built is trusted, actively used and continuously improving
• Alongside the Data Product Manager, this person co-owns the Customer domain data product strategy and stakeholder relationships
• The Data Product Owner brings independent product judgment to both sides of the work — strategically guiding Customer Success, Support and Product stakeholders in how to think about and articulate their data needs and guiding the analytics engineering team on what to build and how to design it
• They actively shape and draft requirements rather than simply collecting and translating them and they independently lead the projects that deliver them
• A core requirement of this role is the ability to influence how things get done — earning the trust of business leaders and the respect of technical teams in equal measure
• A demonstrated track record of working in a strategic product ownership capacity is a must; Customer, product and GTM domain knowledge is strongly preferred
• Data Product Ownership & Maturity
• Own a portfolio of Customer domain data products end to end — reliability, value, adoption
• Independently lead the projects that advance the domain's data maturity, from problem definition to adoption
• Shape the Customer data product roadmap, prioritizing by adoption and business value
• Technical Guidance & Product Design
• Collaborate with the GTM analytics engineering squad, influencing what to build and how to design it
• Shape data mart architecture, metric definitions and reporting requirements, navigating design tradeoffs
• Define requirements for reliable data flows, including metric consistency and lineage across shared GTM assets
• Stakeholder Strategy & Requirements
• Partner with Customer Success, Support and Product leaders to shape and draft requirements, not just take orders
• Drive alignment on business and data definitions, and translate business problems into buildable requirements
• Ensure data products and their outputs are consumable by Sales
• Quality, Governance & Adoption
• Oversee data quality, SLAs and governance, including customer-data privacy/PII handling where relevant
• Drive discoverability and data literacy; align with peer data product owners across G&A and GTM