AI Product Manager

Description:

This role requires working onsite 4 days per week, and a F2F interview at the client's Jersey City location is mandatory.
Only USCs/GCs are eligible

AI Product Manager

GenAI Products / AI Platforms / Enterprise AI Adoption

Level


Product Manager / Senior Product Manager


Target / alternate titles


AI Product Manager; GenAI Product Manager; ML Product Manager; Data Product Manager; AI Platform Product Manager; Digital Product Manager - AI


Core keywords


AI product manager, GenAI, LLM, AIRP, AI roadmap, use-case prioritization, product discovery, MVP, pilot, KPIs, adoption, Responsible AI, data product, AI platform, Power Platform, Copilot Studio, Power Apps, Power Automate, Power BI


Recruiter red flags


Generic product manager with no AI literacy; cannot define AI-specific KPIs or risks; weak stakeholder governance in regulated environments; no experience balancing business value, platform constraints, AWS/cloud delivery, and adoption.

Role purpose


Define, prioritize, and deliver AI and GenAI products that solve high-value business problems while satisfying enterprise requirements for risk, security, compliance, usability, adoption, and operational readiness. The role connects business strategy, AIRP platform capabilities, citizen development, and measurable outcomes.


Client-specific emphasis

• This is primarily AI for business, with use cases spanning KYC, credit underwriting, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening.
• The Product Manager should understand AIRP as the enterprise AI-ready platform and coordinate with engineering on AWS, Terraform/IaC, DevOps pipelines, security, and governance dependencies.
• Responsible citizen development through Power Platform, Copilot Studio, Power Apps, Power Automate, and Power BI is part of the AI-native bank agenda and should be reflected in adoption and roadmap planning.

Primary ownership

• AI product vision, AIRP roadmap alignment, use-case prioritization, business case, and success metrics.
• Product discovery, MVP definition, pilot planning, production rollout, adoption, measurement, and lifecycle management.
• Cross-functional delivery alignment across business, AI engineering, research, AIRP platform, cloud engineering, risk, compliance, legal, cybersecurity, data, UX, and citizen-development teams.

Key responsibilities

• Define product vision, strategy, roadmap, and success metrics for AI and GenAI products across business and enterprise functions.
• Identify and prioritize use cases based on value, feasibility, data readiness, risk profile, platform readiness, AWS/cloud dependencies, user impact, and strategic alignment.
• Translate business needs into product requirements, user stories, acceptance criteria, operating requirements, governance requirements, and measurable outcomes.
• Manage product lifecycle from discovery, experimentation, MVP, pilot, production rollout, adoption, monitoring, and continuous improvement.
• Partner with AI engineers, researchers, cloud/platform teams, architects, UX, risk, compliance, legal, cybersecurity, data owners, and business stakeholders.
• Define KPIs such as adoption, productivity gain, cost reduction, cycle-time reduction, accuracy, risk reduction, user satisfaction, operational efficiency, and control effectiveness.
• Ensure AI products include appropriate governance, human oversight, explainability, auditability, security, data privacy, and Responsible AI controls.
• Drive AI-native adoption through change management, training, communication, feedback loops, executive reporting, and responsible citizen-development enablement.

Must-have candidate profile

• Experience in product management, digital transformation, AI/ML products, data platforms, enterprise technology, or business transformation.
• Strong understanding of AI, GenAI, LLM capabilities, limitations, risks, and enterprise adoption considerations.
• Ability to translate business problems into AI-enabled product opportunities, roadmaps, requirements, and measurable outcomes.
• Experience working with engineering, data science, research, architecture, risk, compliance, cybersecurity, legal, and business stakeholders.
• Strong roadmap management, prioritization, stakeholder engagement, business-case development, delivery governance, and adoption-management skills.
• Working knowledge of AI platform dependencies, including cloud delivery, data readiness, governance approvals, security reviews, and production support.

Preferred experience

• Banking, financial services, fintech, risk, operations, compliance, customer service, banker productivity, or enterprise productivity background.
• Experience delivering AI copilots, knowledge assistants, automation tools, analytics products, AI platforms, data products, or citizen-development programs.
• Familiarity with AIRP-style platform models, AWS-hosted AI platforms, Power Platform, Copilot Studio, Power Apps, Power Automate, Power BI, AI governance, model risk, data privacy, cybersecurity, and Responsible AI requirements.

Initial screening questions

• What AI product have you taken from concept to production?
• How would you prioritize KYC, credit underwriting, pitch book generation, Customer 360, deal intelligence, and sanctions-screening use cases?
• How do you balance business value, data readiness, risk, platform readiness, and AWS/cloud implementation constraints?
• What KPIs did you define and what measurable impact was achieved?
• How did you work with risk, compliance, security, engineering, and business teams?
• How would you drive responsible citizen development adoption using Power Platform and Copilot Studio?

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting ** range for this role will depend on the nature of the role offered and will either be [xxxx39,872 - xxxx09,808], or [xxxx0-xxxx00] if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.


This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.


Enable Skills-Based Hiring No ICIMS RR ID #
Additional Details

• Skill Category : Regular
• ICIMS RR ID # : NA
• Client Name : MUFG Union Bank
• Engagement Type : T&M Non Competitive
• Vertical : BFS
• Must-Have Primary Skill : Data and Intelligence-Analytics-Artificial Intelligence
• Primary Skill: Yrs Experience : Master (8+ Years Experience)
• RC- Domain : Data & Analytics
• RC- Subdomain : 24 - Big Data, Data Science & Analytics (Apache Hadoop HDFS, Base/Hive/Pig/Mahout/Flume/Scoop/MapReduce/Yarn, Cloudera HD, NoSQL, R, Spark/Shark/Milb, MATLAB)
• RC- Role : Architect
• RC- Experience Level : IV
• RC- Geo Tier : US-5
• RC- Exception Required : No
• COVID-19 Vaccine Required? : (No Value)
• Client-Accepted Visa Types : (No Value)