Lead Data Product Owner - Finance

Dynatrace•Boston, MA

4d•Hybrid

About The Position

Dynatrace's Data & Analytics organization is building a scalable, AI-ready, and self-service data ecosystem. As part of this mission, we are establishing a Data Product Management capability to proactively manage internal data products, including canonical models, metrics, and dashboards that serve as shared sources of truth across the business. This function connects business and data teams, overseeing quality and governance, coordinating execution, and driving adoption. We are seeking a Lead Data Product Owner to manage and advance a portfolio of data products for the Finance organization. This role is responsible for the reliability, value, and data maturity of Finance's core data assets, ensuring they are trusted, actively used, and continuously improved. The Lead Data Product Owner will co-own the Finance data product strategy and stakeholder relationships with the Data Product Manager. They will provide independent product judgment, guiding Finance stakeholders on articulating data needs and guiding the analytics engineering team on development and design. This role actively shapes and drafts requirements, leads projects, and influences how work is done, earning trust from both Finance leaders and technical teams. A strategic product ownership track record is essential, with Finance domain knowledge being strongly preferred.

Requirements

7+ years in data product management, analytics, BI, or data management
Bachelor's in Finance, Business, Information Systems, Data Analytics, or a related field
Exceptional ability to bridge technical and business communication
Track record of influencing outcomes with engineers and business leaders
Experience shaping and drafting requirements and leading projects amid conflicting priorities
Strong grasp of data modeling, pipelines, data quality, governance, and BI tooling
SQL
Familiarity with SOX and ASC 606
Familiarity with Finance data mart design — star schemas, SCDs, auditable flows
Experience with Snowflake, dbt, Power BI, or comparable platforms
Experience with NetSuite or similar financial systems and their data models
Experience with SaaS/B2B metrics — ARR, deferred revenue, billings
Experience with Agile/Scrum and JIRA

Nice To Haves

Finance domain expertise strongly preferred (revenue recognition, reporting, FP&A, procurement, close); fast domain ramp considered
CPA, CMA, or equivalent certification

Responsibilities

Own a portfolio of Finance data products end to end — reliability, value, adoption
Independently lead projects that advance Finance's data maturity, from problem definition to adoption
Shape the Finance data product roadmap, prioritizing by adoption and business value
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
Partner with Finance, FP&A, Accounting, and Procurement leaders to shape and draft requirements
Drive alignment on business and data definitions, and translate business problems into buildable requirements
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