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Senior Data Product Manager
Location
United States
Posted
87 days ago
Salary
$145K - $175K / year
Seniority
Lead
Job Description
Senior Data Product Manager
AERIES SOFTWARE LLC
Role Description The Senior Data Product Manager is a strategic product leader who owns the full data analytics and insights ecosystem within the Product Management organization. This role drives the strategy, prioritization, and delivery of modern reporting and analytics capabilities, user behavior insights, and product lifecycle KPI frameworks that enable data-driven decision-making across the organization. This senior role combines deep expertise in reporting and analytics and AI-assisted tooling with the ability to proactively surface product insights, govern data quality, and influence roadmap priorities. The Sr. Data PM partners closely with engineering, design, business analysts, product managers, and executive stakeholders to ensure the right data reaches the right people at the right time. This role embraces AI as a force multiplier, championing a culture of data-informed product development across the team. Core Responsibilities - Reporting & Modern Analytics - Own the strategy and roadmap for self-service and ad hoc reporting capabilities. - Partner with engineering to deliver scalable, intuitive reporting and analytics tools. - Define and maintain reporting standards, data taxonomies, and event tracking frameworks. - User Insights Platform Ownership - Serve as the primary product owner for the user analytics platform. - Drive the roadmap for Natural Language Query (NLQ) capabilities. - Lead prioritization of data input validation features. - Proactively monitor user behavior trends and recommend preventative measures. - Own consent and privacy frameworks governing tracking preferences. - Product Lifecycle KPI Governance - Define, document, and maintain KPIs across the full product lifecycle. - Build and manage product health dashboards for real-time visibility. - Establish a regular cadence of KPI reviews and executive reporting. - Lead measurement strategy for AI-native and LLM-powered features. - AI-Accelerated Product Management - Use AI tools to accelerate research synthesis and opportunity assessment. - Leverage AI to draft and iterate on product requirements. - Employ AI-assisted analytics to extract insights from various data sources. - Evaluate and recommend emerging AI/ML capabilities for integration. - Champion AI literacy within the product team. - Product Discovery & Customer Research - Lead continuous discovery through user interviews and usability testing. - Develop testable hypotheses and run structured experiments. - Build rapid prototypes and interactive concept demos using AI tools. - Product Strategy & Roadmap - Synthesize customer needs, data trends, and business goals. - Use structured prioritization frameworks for decision-making. - Identify integration opportunities to improve data interoperability. - Partner with engineering and leadership to define integration roadmaps. - Cross-Functional Collaboration - Collaborate with design and business analysts for appropriate solutions. - Partner with Marketing, Sales, Customer Success, and Support. - Maintain a closed feedback loop with Customer Success. - Product Operations - Establish and maintain standardized workflows for data product development. - Own and optimize the analytics and product tooling stack. - Build and maintain dashboards for product performance data. Qualifications - 7+ years of hands-on experience with behavioral analytics platforms. - Proven ability to architect and own event tracking frameworks. - Demonstrated experience building or scaling self-service analytics tools. - Familiarity with Natural Language Query (NLQ) and AI-assisted analytics concepts. - Experience owning data governance practices. - Strong data literacy — comfortable reading and writing SQL. - Experience with experimentation infrastructure and A/B testing frameworks. - Experience leading measurement strategy for AI-native or LLM-powered product features. - Proficiency with AI productivity tools. - Experience with structured product discovery frameworks. - Knowledge of Agile processes and iterative product development. - Clear, concise, and effective written and verbal communication skills. - Proficiency with modern product management tools. - Collaborative approach to cross-functional work. Education and Experience - 5+ years of Product Management experience, focusing on data products. - Demonstrated experience owning a full data platform stack. - Background in software engineering, data engineering, or a highly technical discipline preferred. - Experience in B2B SaaS environments; EdTech or enterprise software a plus. - Demonstrated experience conducting customer research and product discovery. - Bachelor's degree in a related field or equivalent work experience. Position Details - Status: Full-time, Salaried, exempt - Work Location: Primarily remote; must work from specified states. - Travel Requirements: Up to 10–15% travel as needed. - Physical Requirements: Prolonged periods of sustained focus during screen work. Compensation - $145,000- $175,000 base salary, based on experience & skills. - Annual bonus based on employee and company performance. Benefits - Health insurance coverage for employees and covered dependents. - Health Savings Account with employer contributions. - 401(k) plan with up to 4% employer match. - “Responsible PTO” with additional paid time off for various needs. - 11 paid holidays with additional paid closure between Dec 26–Jan 1. - Educational Reimbursement program and opportunities for ongoing professional development.
Job Requirements
- 7+ years of hands-on experience with behavioral analytics platforms.
- Proven ability to architect and own event tracking frameworks.
- Demonstrated experience building or scaling self-service analytics tools.
- Familiarity with Natural Language Query (NLQ) and AI-assisted analytics concepts.
- Experience owning data governance practices.
- Strong data literacy — comfortable reading and writing SQL.
- Experience with experimentation infrastructure and A/B testing frameworks.
- Experience leading measurement strategy for AI-native or LLM-powered product features.
- Proficiency with AI productivity tools.
- Experience with structured product discovery frameworks.
- Knowledge of Agile processes and iterative product development.
- Clear, concise, and effective written and verbal communication skills.
- Proficiency with modern product management tools.
- Collaborative approach to cross-functional work.
- Education and Experience
- 5+ years of Product Management experience, focusing on data products.
- Demonstrated experience owning a full data platform stack.
- Background in software engineering, data engineering, or a highly technical discipline preferred.
- Experience in B2B SaaS environments; EdTech or enterprise software a plus.
- Demonstrated experience conducting customer research and product discovery.
- Bachelor's degree in a related field or equivalent work experience.
- Position Details
- Status: Full-time, Salaried, exempt
- Work Location: Primarily remote; must work from specified states.
- Travel Requirements: Up to 10–15% travel as needed.
- Physical Requirements: Prolonged periods of sustained focus during screen work.
- Compensation
- $145,000- $175,000 base salary, based on experience & skills.
- Annual bonus based on employee and company performance.
Benefits
- Health insurance coverage for employees and covered dependents.
- Health Savings Account with employer contributions.
- 401(k) plan with up to 4% employer match.
- “Responsible PTO” with additional paid time off for various needs.
- 11 paid holidays with additional paid closure between Dec 26–Jan 1.
- Educational Reimbursement program and opportunities for ongoing professional development.
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