Product Manager – AI, Analytics

Eltropy

Product Manager leading development and scaling of AI-driven analytics products for fintech company. Ensuring data-driven decision-making and measurable outcomes for Community Financial Institutions.

Posted 5/4/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Own end-to-end execution for AI-driven Analytics and Intelligence products (Analytics 2.0, BI, Ask Intelligence).
Translate business goals into clear product requirements, roadmaps, and execution plans.
Drive consistent delivery against timelines, ensuring high-quality releases and customer commitments.
Define and build scalable analytics and reporting systems, including: Executive dashboards and KPI frameworks, Drill-down reporting and metric hierarchies, Real-time data pipelines and alerting systems.
Lead the development of AI-powered analytics experiences (e.g., natural language querying, AI insights).
Work closely with Engineering, Design, Data, and Product Marketing to deliver AI products from concept to production.
Partner with Data Engineering teams to define data models, pipelines, and real-time processing capabilities.
Ensure tight alignment between product, GTM, and customer success teams.
Establish scalable product management processes to maintain velocity and accountability.
Proactively identify risks, dependencies, and execution gaps; implement mitigation plans.
Own product artifacts including PRDs, release plans, and stakeholder updates.
Engage directly with customers to validate product direction and prioritize features.
Act as the central point of contact for internal and external stakeholders on product progress and roadmap.

Requirements

What you’ll need

3–6 years of Product Management experience, with strong exposure to Analytics, BI, or Data Products
Proven track record of shipping analytics/reporting platforms or data-driven products
Strong understanding of: Data modeling, ETL pipelines, and real-time data systems
KPI design, dashboards, and business reporting frameworks
AI/ML-powered analytics or insights systems
Experience working closely with Data Engineering and Backend teams
High ownership mindset with strong execution discipline and attention to detail
Ability to manage multiple workstreams and deliver under tight timelines
Strong communication skills, with the ability to translate complex systems into clear narratives.

Benefits

Comp & perks

Competitive compensation with the ability to work within a global, dynamic team.
Lead cutting-edge AI products and help shape the future of AI product management.
A strategic, high-impact role with leadership visibility and growth potential.

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Hard Skills & Tools

AI-driven AnalyticsBusiness Intelligence (BI)Data modelingETL pipelinesReal-time data systemsKPI designDashboardsAnalytics/reporting platformsAI/ML-powered analyticsProduct Management

Soft Skills

Execution disciplineAttention to detailCommunication skillsOwnership mindsetRisk identificationStakeholder managementPrioritizationCollaborationProblem-solvingAdaptability