Senior Product Manager, Analytics & Data Platforms

Accountabilities:

• Own product strategy and roadmap across analytics platforms, data pipelines, and reporting systems, ensuring scalability, reliability, and operational efficiency.

• Define and prioritize product requirements that modernize legacy workflows, reduce manual processes, and improve system performance.

• Translate complex data workflows into clear, actionable product specifications in partnership with engineering and analytics teams.

• Collaborate on data architecture decisions including ETL pipelines, data modeling, and distributed processing systems.

• Drive improvements in data quality, lineage, traceability, documentation, and validation frameworks.

• Lead backlog prioritization and delivery planning across competing reporting and data initiatives.

• Coordinate cross-functional execution across engineering, analytics, and stakeholder teams to ensure timely, high-quality delivery.

• Identify system inefficiencies and drive structural improvements in team workflows, ownership, and operating models.

• Manage stakeholder alignment across technical and non-technical partners, ensuring clarity on data impact and program outcomes.

• Proactively identify risks in delivery, data accuracy, and dependencies, implementing mitigation strategies.

Requirements

• 7+ years of product management experience in agile, cross-functional environments building digital or data-intensive products.

• Strong experience owning products involving data pipelines, analytics systems, or reporting platforms.

• Deep understanding of data modeling, ETL processes, data validation, and governance practices.

• Proven ability to operate in ambiguous, high-pressure environments and drive outcomes independently.

• Experience collaborating closely with data engineers and backend teams on system design and implementation.

• Strong technical fluency with distributed systems and data platforms, including performance and architecture tradeoffs.

• Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.

• Strong consulting mindset with experience building trust in client-facing or contracting environments.

• Expertise in requirements definition, acceptance criteria, and definition of done.

• Strong analytical and problem-solving skills with a systems-thinking approach.

• Experience managing complex environments with multiple dependencies and integrations.

• Ability to influence stakeholders, manage risk, and drive alignment in large organizations.

• Preferred: experience with Databricks, Spark, AWS data services (S3, Glue, Lambda), healthcare data, CMS programs, FHIR, eCQM, or regulated environments.

Benefits

• Salary range: $132,900 – $158,400 per year

• Remote-first, remote-only work culture

• 4 weeks of paid time off annually (prorated first year)

• 10 paid floating company holidays

• Flexible working schedule

• Home office setup provided (including MacBook)

• Medical, dental, and company-paid vision insurance

• Optional HSA with company contribution (on eligible plans)

• Company-paid life, AD&D, short-term, and long-term disability insurance

• Optional critical illness and accident insurance

• 401(k) plan with 3% employer safe harbor contribution

• Wellness resources and virtual care support

• Employee discount program (Perks Plus)

• Collaborative, learning-oriented remote environment.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1