Lead Data Product Owner, Dynatrace

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

Desirable

• We are seeking a Lead Data Product Owner to own and advance a portfolio of data products serving the Finance organization. This person is accountable for the reliability, value and data maturity of Finance'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 Finance data product strategy and stakeholder relationships. The Data Product Owner brings independent product judgment to both sides of the work — strategically guiding Finance stakeholders in how to think about and articulate their data need 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 Finance 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; Finance domain knowledge is strongly preferred
• Data Product Ownership & Maturity
• Own a portfolio of Finance data products end to end — reliability, value, adoption
• Independently lead the projects that advance Finance's data maturity, from problem definition to adoption
• Shape the Finance 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 auditable data flows: traceability and lineage for audit and executive reporting
• Stakeholder Strategy & Requirements
• Partner with Finance, FP&A, Accounting and Procurement leaders to shape and draft requirements, not just take orders
• Drive alignment on business and data definitions, and translate business problems into buildable requirements
• Quality, Governance & Adoption
• Oversee data quality, SLAs and governance — SOX, ASC 606 and external audit standards
• Drive discoverability and data literacy; align with peer data product owners across G&A and GTM