Senior AI Product Manager - Distribution and Enablement

Requisition Number: 78829

Position Title:

External Description:

Role Summary

The Sr. Product Manager will own the AI Content Generation roadmap and the delivery across all associated bodies of work. They will be responsible for driving compliant, brand-aligned content at scale, and achieving measurable business impact.  

Responsibilities

• AI Content Generation strategy & roadmap: Translate GD priorities into a clear plan for the “Content Engine” cluster of AI use cases; set outcomes and sequence work across the three named bodies of work to maximize cross-BU reuse (in future horizons) and speed to value. 
• Epic leadership (Content Factory): Lead build-out of the “Content Factory” to convert IPRC thought leadership into persona-tailored, compliant, brand-aligned content. 
• Epic leadership (Investment Commentary): Stand up the investment commentary pipeline by connecting core data sources and generating first-draft outputs with baseline brand/compliance guardrails for selected portfolios; expand per roadmap as readiness allows. 
• Epic leadership (Client Correspondence): Orchestrate the AI agent-driven intake-to-response workflow and ready it for future process expansion.  
• Governance & brand integration: Embed compliance, IP/copyright, and brand-voice libraries into product workflows; ensure output aligns with enterprise standards as capabilities scale.  
• Value tracking & decisions: Partner with GD AI Business Analyst teammates and FP&A to define epic-level success measures up front and use pilot results to recommend scale/pivot/retire, keeping outcomes tied to the established OKRs.  
• Cross-functional orchestration: Coordinate with Tech, Risk/Legal, Marketing, and other key partners to remove blockers and land production-ready releases on plan.  
• Agile Product Ownership: Able to lead one or more squads. Write clear user stories and acceptance criteria, prioritize and maintain the backlog, partner across teams on sprint rituals, align delivery to roadmap outcomes, and validate releases with stakeholders. 
• Business and technical translation: Turn complex AI concepts into plain English for business partners, then convert business needs into clear requirements and acceptance criteria for engineers and data teams. 
• AI and Data Literacy: Create LLM and GenAI use cases for marketing and content. Quickly learn new tools and judge business relevance and risks. 

Qualifications

Required:

• Education and Experience: Bachelor’s degree (or equivalent experience) in business, marketing, computer science, or a related field and 8+ years in product leadership or adjacent roles owning outcomes across multiple teams. 
• Agile Product Ownership: Able to lead one or more squads. Writes clear user stories and acceptance criteria, prioritizes and maintains the backlog, partners across teams on sprint rituals, aligns delivery to roadmap outcomes, and validates releases with stakeholders.
• AI and Data Literacy: Familiar with LLM and GenAI use cases for marketing and content. Quick to learn new tools and judge business relevance and risks.
• AI Application to Business Problems: Ability to identify opportunities to apply AI for process improvement, efficiency gains, or enhanced decision-making.
• Business Needs Translation: Proven ability to turn complex business needs into structured requirements, acceptance criteria, and release plans. 
• Strategic and Analytical Skills: Strong problem solving and prioritization. Comfortable weighing feasibility, cost, risk, and value to sequence work. 
• Governance and Brand Integration: Experience embedding brand voice, IP, privacy, and compliance controls into product workflows and producing required evidence. 
• Vendor and Approvals Navigation: Hands-on experience evaluating third-party tools and coordinating Procurement, Legal, Risk, and Compliance to stay on plan. 
• Measurement and Decisioning: Has set success measures with BAs and other business partners, interprets pilot results, and makes clear scale/pivot/retire recommendations. 
• Communication and Stakeholder Management: Excellent written and verbal communication. Presents options, risks, and recommendations to senior leadership with confidence. 
• Early Adopter Mindset: Passionate about learning AI and modern productivity tools. Resourceful, self-directed, and comfortable building from zero. 
• Ethics and Compliance: Awareness of ethical considerations and compliance when using AI in data analysis (such as bias, data privacy, and transparency).

Preferred:

• Advanced education: MBA or relevant graduate degree a plus. 
• Analytics comfort: Able to partner with BAs and FP&A on adoption and impact views using appropriate analytics software to translate results into action. 
• Professional Certifications: Relevant certifications such as CBAP, PMP, or Agile credentials (CSM, SAFe) are advantageous. 
• Agile fluency: Comfortable partnering with multiple stakeholders, writing clear acceptance criteria, and aligning squads to roadmap outcomes. 
• Content operations depth: Experience mapping and improving content creation, review, localization, and publishing flows at scale. 
• Agent patterns: Exposure to agentic workflows for drafting, review, or routing and an understanding of safe human-in-the-loop designs. 
• Collaboration with Data Science Teams: Experience working alongside data scientists or IT teams to implement or interpret AI-driven insights.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

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Community / Marketing Title: Senior AI Product Manager - Distribution and Enablement

Company Profile:

Location_formattedLocationLong: Maryland, US

CountryEEOText_Description: Commitment to Diversity, Equity, and Inclusion: We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day. Benefits: We invest in our people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions • Flexible and remote work opportunities • Health care benefits (medical, dental, vision) • Tuition assistance • Wellness programs (fitness reimbursement, Employee Assistance Program) Our policies may change as our working lives evolve. Yet, our commitment to supporting our associates’ well-being and addressing the needs of our clients, business, and communities is unwavering. T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.