Summary

Spark is building toward a simple but ambitious goal: be the source of truth for our partners’ business reporting and help Spark teams make faster, more confident operational decisions.

As Senior Data Product Manager, Data Platform & Infrastructure, you’ll own the product strategy and execution for the data foundation that powers reporting, operational workflows, and decision-making across Spark. You’ll treat datasets, pipelines, and data access as products; with clear users, definitions, reliability expectations, and adoption goals.

This isn’t just “dashboards.” It’s building the trusted data layer those dashboards (and product experiences) depend on.

What You'll Do

• Own canonical datasets and definitions across core domains (production, contracting, commissions, compliance, partner performance).
• Define and maintain clear metric semantics (including messy “in-between” operational states) so internal and partner-facing reporting stays consistent.
• Drive self-serve data access: reduce ad hoc requests, tribal knowledge, and manual lookups by turning repeat needs into scalable data products.
• Lead cross-functional discovery with stakeholders across Account Management, Contracting, Support, Compliance, Finance, and Product; translating workflow pain into concrete data requirements and shipped solutions.
• Partner with Data Engineering to design durable data models from complex carrier/vendor signals and to improve reliability, monitoring, and data quality where it matters.
• Partner with Analytics on dashboard UX and iteration, ensuring outputs are actionable and map to real workflows (not just charts).
• Align internal reporting and product surfaces so teams and partners see a consistent “shared truth.”
• Own prioritization and execution across teams - balancing speed, accuracy, completeness, and trust.

Example projects you might lead

• Building trusted partner reporting foundations for production, contracting, and commissions.
• Improving Ready-to-Sell / contracting transparency through normalized statuses and clearer operational visibility.
• Creating commission reconciliation data products that are explainable and auditable back to carrier inputs.
• Developing compliance dashboards and leading indicators that support investigative workflows during AEP and beyond.
• Enabling internal teams with self-serve access to raw / intermediate data with guardrails and documentation.
• Defining and operationalizing leadership KPIs so methodology changes don’t create whiplash or confusion.

What We're Looking For

• 5+ years of product management experience, including meaningful ownership of data products (data platforms, metrics layers, pipelines, reporting foundations, or internal data tools).
• Strong technical fluency: you can write SQL, reason about schemas and joins, and spot correctness/definition issues.
• Comfort operating in ambiguity: you can turn messy inputs into crisp definitions, roadmaps, and shipped systems.
• Proven cross-functional leadership (Engineering, Analytics, Finance/Ops/Compliance/Support) without relying on authority.
• High bar for product craft: clear requirements, clear definitions, and intentional rollouts that drive adoption and trust.

Nice to have

• Experience in healthcare, insurance, fintech, or other regulated/data-complex domains.
• Partner-facing reporting experience where trust, explainability, and reliability are critical.
• Experience working with external/vendor feeds (late data, partial data, conflicting signals) and building pragmatic “truth” layers.

Compensation