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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in managing enterprise data products throughout their lifecycle, including product discovery, requirements analysis, and data modeling. Proficient in collaborating with stakeholders to define product outcomes and ensure successful adoption and evolution of data solutions.
Highest-signal resume keywords
8+ Years Experience In Enterprise DataData Product ManagementData Architecture/ModelingRelational/Normalized And Dimensional Data ModelingExperience With Oracle Financials
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data GovernanceData QualityData LineageMetadata ManagementData DefinitionsData StewardshipProduct Lifecycle ManagementData Modeling StandardsSemantic/Domain ModelingCanonical Concepts
Soft Skills
Effective CollaborationIndependent OperationLeadership
Tools & Technologies
Oracle FinancialsSAPTM1/Planning AnalyticsSalesforceWorkdayMicrosoft DynamicsCoupaCloud Data PlatformsBI/Analytics PlatformsData-Quality Tooling
Industry Keywords
FinanceTreasuryTaxHRLegal & ComplianceRegulatory ReportingProcurementEnterprise Master/Reference DataAsset ManagementFinancial Services
Tech Stack
Tools & technologiesCloudOracle
About the role
Key responsibilities & impact- Own assigned domain data products from discovery through roadmap, requirements, delivery, adoption, measurement and lifecycle management
- Represent products through Agile planning and delivery, driving decisions, dependencies, prioritization and execution to completion
- Lead product discovery and requirements analysis and evaluate business value, cost, dependencies and competing priorities to recommend sequencing and tradeoffs
- Partner with business stakeholders to establish product outcomes, data definitions, service expectations and measures of success
- Design and evolve domain data models, including core business concepts, relationships, reference/master data and reusable data structures
- Partner with data engineering, platform, BI/reporting and architecture teams on pipelines, transformations, access patterns, entitlements, analytical consumption and distribution mechanisms
- Provide product direction and day-to-day leadership to small analyst teams
- Guide products through delivery, adoption and ongoing evolution across stakeholder and technology teams
Requirements
What you’ll need- 8+ years of relevant experience in enterprise data, data products, product management, data architecture/modeling, data governance/stewardship or related disciplines
- Demonstrated experience owning or leading data products across the product lifecycle
- Strong understanding of enterprise data concepts, including data definitions, data quality, lineage, metadata, ownership and governance
- Hands-on experience with relational/normalized and dimensional data modeling
- Ability to work effectively with business stakeholders, architects and engineers
- Demonstrated ability to operate independently and drive outcomes in a complex, matrixed enterprise environment
- Experience in one or more relevant corporate data domains such as finance, treasury, tax, HR, client/revenue, legal & compliance, regulatory reporting, procurement or enterprise master/reference data
- Nice-to-have: deep experience in data product practice, including product-development lifecycle processes, discovery, roadmap and backlog practices, prioritization, PI planning and metrics
- Nice-to-have: expertise in enterprise data modeling, including semantic/domain modeling, canonical concepts, master/reference data, normalization, dimensional models and modeling standards
- Nice-to-have: experience with Oracle Financials, SAP, TM1/Planning Analytics, Salesforce, Workday, Microsoft Dynamics or Coupa
- Nice-to-have: familiarity with cloud data platforms, BI/analytics platforms, metadata/catalog solutions and data-quality tooling
- Nice-to-have: experience in asset management, financial services or a similar industry
Benefits
Comp & perks- Annual discretionary bonus
- Healthcare
- Leave benefits
- Retirement benefits
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
- Hybrid work model with flexibility to work from home 1 day a week