Senior Data Product Manager, Data Platform & Infrastructure at Spark Advisors

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Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

200000.0

Posted On

20 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Products, SQL, Data Models, Cross-Functional Leadership, Data Quality, Metrics Semantics, Data Access, Reporting, Healthcare, Analytics, Operational Workflows, Compliance, Partner Performance, Data Pipelines, User Experience

Industry

Insurance

Description

About Spark Advisors We're building healthcare tech for a system that desperately needs it. Each year, millions of Americans deal with confusing changes to their Medicare plans that impact their prescriptions, access to care, and pocketbooks. These aren’t just inconveniences – they are potentially life-altering changes that leave seniors medically and financially vulnerable. Independent Medicare advisors play a crucial role in guiding seniors through this complexity and helping them find the right coverage for their needs. But their ability to be effective healthcare advocates has long been hamstrung by broken tools and outdated systems. Spark is fixing that. We’re the fastest-growing Medicare platform in the country, combining AI, an industry-leading CRM, and client services to transform how 8,000+ brokers acquire, enroll, and support clients in their local communities. Join a talent-dense team from Square, Ramp, Yext, Oscar, and Cedar — backed by Primary Ventures and Viewpoint Ventures — that is serious about building technology to expand access to quality healthcare. We offer remote work, sabbaticals, company retreats, and other generous benefits that earned us recognition as one of Inc. Magazine’s Best Workplaces of 2025 Healthcare is overdue for innovation. Let’s redefine what its future looks like — together. 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 Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Spark. In accordance with New York City, Colorado, California, and other applicable laws, Spark is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. A reasonable estimate of the current salary range is listed below. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash. Base Salary $170,000—$200,000 USD Why you should join our team By joining Spark, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup where you will have a profound impact on the brokers and beneficiaries we serve. And you'll learn, grow, be challenged, and have fun with your team while doing it. We strive to help you and your family thrive. We're committed to supporting your happiness, healthiness, and overall well-being by providing a comprehensive benefits program. In addition to your base salary, we also offer: Equity compensation Health care, including dental and vision through our PEO Sequoia Flexible work location; co-working available 401k Paid Time Off Monthly Remote Work Stipend (help cover costs of home-office needs) Paid Parental Leave Up to 14 weeks for birthing parents Up to 8 weeks for non-birth parents 11 paid holidays 2 week sabbatical at 5 years of employment Wellbeing Perks through SpringHealth, OneMedical, PerkSpot, and SoFi Compliance Spark is a proud participant in E-Verify. As part of our commitment to compliance, we use the E-Verify program to confirm the employment eligibility of all employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov. Furthermore, for security and compliance requirements, we’re unable to accommodate international remote work. While we fully support travel and time off, all work must be conducted from an approved location within the U.S. At Spark, we are committed to hiring the best team to serve our clients regardless of their background. We need diverse perspectives to reflect the diversity of our problems and the population we serve. We look to hire people from a variety of backgrounds, including, but not limited to, race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Responsibilities

Own the product strategy and execution for the data foundation that powers reporting and decision-making across Spark. Lead cross-functional discovery with stakeholders to translate workflow pain into concrete data requirements and shipped solutions.