Customer
$135,000–$165,000 year
Remote
Job Summary
Own a portfolio of Customer domain data products end to end, driving reliability, value, and adoption from problem definition through execution. Independently lead projects that advance domain data maturity, shaping the roadmap by prioritizing adoption and business value. Collaborate with GTM analytics engineering to influence build scope and design, defining requirements for reliable data flows and metric consistency. Partner with Customer Success, Support, and Product leaders to draft requirements and drive alignment on business and data definitions. Oversee data quality, SLAs, and governance, including customer-data privacy handling, while promoting data literacy and discoverability. This role bridges business and data teams to guide quality and governance for shared sources of truth across the organization. Candidates must have 7+ years in data product management and strong abilities to influence outcomes with engineers and business leaders.
Required Qualifications
- 7+ years in data product management, analytics, BI or data management
- Bachelor's in Business, Information Systems, Data Analytics, Computer Science 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
- Snowflake, dbt, Power BI or comparable platforms
- Agile/Scrum and JIRA
- Candidates who live within a 45 mile radius of Boston, MA; Detroit, MI; and Denver, CO will be required to work hybrid (2 days per week) out of our Dyntrace office
- Candidates are required to work EST hours for this position
Desired Qualifications
- Customer/GTM domain expertise strongly preferred (customer health, support operations, product usage/telemetry, renewal/churn)
- fast domain ramp considered
- Customer success platforms (Gainsight, Totango or similar)
- Support/ticketing systems (Salesforce Service Cloud, Zendesk or similar)
- Product analytics tools (Pendo, Amplitude or similar)
- SaaS/B2B customer metrics — NRR, GRR, churn, expansion, customer health scores
- Product usage and consumption data — telemetry, feature adoption, license utilization
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