Senior Product Manager – Enterprise Data Products
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Job Description
Senior Product Manager owning strategy and adoption for enterprise data products at The Standard. Connecting data engineering, governance, analytics, AI, and business teams.
Responsibilities:
- Own strategy, roadmap, prioritization, lifecycle, adoption, and business outcomes for an enterprise data-product portfolio
- Translate customer problems, enterprise strategy, regulatory requirements, and technology opportunities into priorities
- Define product customers, problems, value propositions, outcomes, scope, ownership, service expectations, and consumption patterns
- Conduct ongoing customer and stakeholder discovery across business, operations, analytics, applications, digital products, and partners
- Translate customer problems into capabilities, requirements, outcomes, and success measures
- Validate assumptions through feedback, prototypes, data analysis, and incremental delivery
- Partner with Data Engineering and Architecture to build scalable enterprise data products
- Guide products through source, transformation, modeling, quality validation, governance, and delivery
- Select fit-for-purpose delivery methods such as datasets, APIs, events, files, analytical models, and other data services
- Design reusable products rather than customer-specific pipelines, extracts, or integrations
- Address reliability, scalability, performance, and maintainability throughout the product lifecycle
- Build data products for internal processes, analytics, reporting, digital experiences, operational systems, and AI
- Partner with digital and application teams to power customer-facing experiences
- Define downstream interfaces and service levels
- Partner with Governance, Security, Privacy, Risk, and Architecture to manage sensitive and regulated data
- Establish business definitions, metadata, lineage, ownership, quality expectations, and access controls
- Own portfolio adoption and value realization; track adoption, usage, quality, reliability, customer experience, and business outcomes
- Improve, consolidate, replace, or retire underused and duplicative products
- Communicate outcomes and portfolio health to business and technology leaders
- Lead complex products across systems, business areas, and delivery teams
- Resolve conflicts among customer needs, architecture, engineering constraints, governance, and enterprise priorities
- Mentor Product Managers and Product Owners and mature Enterprise Data product-management practices
Requirements:
- High school diploma or GED required; Bachelor’s degree preferred
- 8+ years of progressive experience in product management, data, analytics, technology, or a related business environment
- Experience working with a globally dispersed team highly preferred
- Ownership of complex products through discovery, delivery, adoption, and lifecycle management
- Experience building data, analytics, API, integration, digital, or enterprise technology products
- Experience serving internal customers and supporting external customer experiences
- Experience partnering with Data Engineering, Software Engineering, Architecture, Analytics, or Data Governance
- Experience navigating complex enterprises, multiple stakeholders, and competing priorities
- Strong discovery, strategy, roadmap, prioritization, and lifecycle-management skills
- Strong customer discovery and stakeholder management
- Ability to define outcomes and measure product success
- Ability to make difficult tradeoffs using customer value, outcomes, risk, strategic alignment, and technical feasibility
- Strong written, verbal, and visual communication
- Strong understanding of data-as-a-product principles and modern enterprise data architectures
- Understanding of ingestion, transformation, modeling, quality, storage, integration, and delivery
- Understanding of analytical and transactional product patterns, including APIs, events, streaming, data sharing, and batch delivery
- Understanding of metadata, lineage, business definitions, quality, privacy, security, and access controls
- Familiarity with cloud data platforms and lakehouse architecture
- Working knowledge of Azure Databricks, Delta Lake, Unity Catalog, SQL, APIs, and related technologies preferred
- Understanding of how analytics, machine learning, GenAI, and operational applications use enterprise data
- Ability to discuss architecture and engineering tradeoffs without personally designing or implementing solutions
- Must pass criminal background investigation and employment, education, and licensing verification
- Must be bondable
Benefits:
- Medical, dental, and vision insurance
- 401(k) plan with matching company contributions
- Annual incentive bonus plan
- Paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually
- PTO increases with tenure
- Career growth and advancement opportunities
- Paid parental leave
- Adoption/surrogacy assistance
- Employee giving program that double matches donations to eligible nonprofits and schools
- Remote work arrangement
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