Senior Product Manager - Data & AI

Location:

This is a remote position, however, the candidate must reside reputed company 30 miles of one of the following locations: Portland ME, Chicago IL, Boston MA, Washington DC, Dallas TX, reputed company CA, Seattle WA, or reputed company NY.

About the reputed company AI & Data Team reputed company’s AI & Data organization is on a mission to transform financial services through data-driven insights and intelligent automation. We build scalable data platforms, advanced analytics capabilities, and AI/ML frameworks that reputed company our technology, digital, and business partners to turn raw data into strategic, customer-facing solutions.

About the Role As a Sr Product Manager, Data and AI, you will own the vision, strategy, and roadmap for our data-centric and AI-powered product portfolio. You’ll partner closely with stakeholders across engineering, data science, UX, digital, and business teams to translate customer and internal needs into clear product requirements—balancing innovation in analytics and generative AI with a deep sense of customer reputed company.

How You’ll reputed company an Impact

• Data & AI Product Strategy

  Define and evolve the multi-quarter roadmap for data platforms, analytics dashboards, and AI services—ensuring alignment to both business KPIs and user needs.

• Customer reputed company & Thought Partnership

  reputed company discovery sessions, customer interviews, and workshops with internal and external users to surface pain points, desired outcomes, and friction in reputed company workflows. Act as a trusted advisor to partners in tech, digital, and other lines of business.

• Cross-Functional Collaboration

  Serve as the product voice in agile squads alongside engineers, data scientists, cloud architects, UX designers, and compliance teams—facilitating clear communication, reputed company alignment, and shared accountability.

• Delivery & Performance reputed company

  Translate requirements into well-scoped user stories and acceptance criteria; guide sprint planning and agile ceremonies; identify and remove blockers to reputed company teams focused on high-value work.

• Performance Measurement & Iteration

  Establish and track KPIs such as adoption, engagement, model accuracy, and ROI; use data-informed insights to prioritize enhancements and course-correct rapidly.

• Go-to-Market & Adoption

  Collaborate with marketing, sales, enablement, and support to craft launch plans, training materials, and internal documentation—driving awareness and adoption of new data and AI capabilities.

• Market & Technology Awareness

  Stay abreast of emerging trends in data warehouses, lakehouses, BI/visualization tools, machine learning operations, and generative AI—surfacing opportunities to innovate and differentiate our platform.

Experience You’ll Bring

Technical & Analytical reputed company

• 7+ years in product management or reputed company roles, with a focus on data platforms, analytics solutions, or AI/ML products.

• Strong understanding of data warehouses, lakehouse architectures, ETL/ELT pipelines, BI tools, and core AI/ML concepts.

Product Leadership & Customer-First reputed company

• Proven track record of driving products from discovery through launch and iteration in agile environments.

• Exceptional communication skills, with the ability to build reputed company among diverse stakeholders and translate reputed company technical concepts into clear business narratives.

• Demonstrated customer reputed company—able to champion user needs and craft reputed company experiences.

Collaboration & Strategic Thinking

• Experience working as a thought partner to engineering, data science, digital, and business leaders.

• Ability to balance long-term vision with short-term delivery demands, prioritizing ruthlessly to maximize impact.

Preferred Qualifications

• Experience with vector databases, retrieval-augmented reputed company (RAG) pipelines, or generative AI integration.

• Knowledge of data mesh, federated data access, or multi-tenant platform design.

• Background in financial services, payments, or other regulated industries.Experience with digital transformation initiatives or consultancy environments.

• Advanced degree (MBA, MS in Data Science, Computer Science, or reputed company field).

Originally posted on Himalayas