Director, Data & AI Products USWM

Job Description

What is the opportunity?

This is a rare leadership role at the intersection of AI product management, domain-driven data architecture, and wealth management transformation. You will define and own the Data & AI product portfolio that powers Financial Advisor productivity, client intelligence, and revenue growth.

You will operate as a true Product Owner owning vision, roadmap and outcomes across:

Data Products (domain-aligned, reusable, governed assets)

AI Products (agentic workflows, predictive insights, copilots)

Data Models (conceptual logical product-aligned implementations)

This role sits at the center of a modern Data & AI operating model - bridging Digital Experience, Business, and Technology - with a mandate to build, test, and scale high-impact capabilities quickly while aligning to enterprise architecture and governance standards.

Success in this role means products are not just delivered - but adopted, trusted and measurably drive business outcomes (e.g., FA productivity, client growth, risk reduction).

What will you do?

You will act as both strategic product leader and hands-on Product Owner, with direct accountability for a portfolio of Data & AI products.

1. Own the Data & AI Product Lifecycle (End-to-End)

Define and execute product vision, strategy, and roadmap across Data and AI domains

Translate wealth management business needs into scalable, reusable product capabilities

Drive product lifecycle management: ideation incubation build adoption optimization

Ensure alignment to domain-driven data models (Client, Account, Positions, Transactions, etc.)

2. Act as a True AI Product Owner (Hands-On)

Write and prioritize product backlogs across AI, data, and modeling layers

Define clear product requirements (user stories, acceptance criteria, KPIs)

Partner closely with AI Engineering, Data Engineering, and Architecture to deliver solutions

Make trade-off decisions between vendor capabilities (e.g., agent platforms) and internal builds

3. Lead Data Product & Modeling Strategy

Ensure all products are built on trusted, governed, and reusable data assets

Drive standardization of data definitions, lineage, and quality across domains

Partner with Data Modeling and Governance teams to enforce consistency and scalability

Elevate data from “assets” to operable products (APIs, analytics layers, AI-ready datasets)

4. Deliver AI Products that Drive Advisor Productivity

Own AI use cases such as:

Advisor copilots & agentic workflows

Client intelligence & next-best-action

Automated insights from transactional and behavioral data

Ensure AI products are:

Explainable

Trusted

Embedded into advisor workflows (e.g., CRM, Salesforce)

5. Drive Adoption & Value Realization

Define and track product success metrics (usage, productivity lift, revenue impact)

Ensure products are actively used - not just delivered

Partner with field leadership and advisors to embed products into day-to-day workflows

Continuously iterate based on feedback and measured outcomes

6. Lead and Develop a High-Performance Team

Manage a team of ~6 (product managers, analysts, or hybrid roles)

Operate as a player–coach: mentoring while directly owning critical product areas

Establish strong product management discipline and culture (ownership, accountability, speed)

Must-Have

Proven AI Product Ownership experience (ideally from organizations like Meta, Amazon, Block Inc., or Morgan Stanley)

Demonstrated ability to own and ship AI/ML-powered products end-to-end

Strong experience in product management disciplines:

Roadmapping, backlog ownership, prioritization

Defining KPIs and driving measurable outcomes

Deep understanding of data product concepts:

Domain-driven design

Data modeling (conceptual/logical alignment to products)

Data quality, lineage, and governance

Experience building AI-driven workflows or agentic systems

Ability to operate as both:

Strategic leader

Hands-on individual contributor

Strong stakeholder management across business, engineering, and architecture

Nice to Have

Wealth Management or Financial Services experience (advisor workflows, client lifecycle, portfolio insights)

Experience with CRM platforms (e.g., Salesforce) and AI integrations

Exposure to knowledge graphs, GraphRAG, or explainable AI frameworks

Familiarity with modern data platforms (e.g., Snowflake, real-time + analytical integration)

Background in multi-agent orchestration or AI platforms

Experience working in matrixed, regulated environments

What’s in it for you?

Opportunity to define and lead one of the most strategic capabilities in Wealth Management: Data & AI Products

Direct ownership of high-visibility, high-impact AI initiatives tied to revenue and client growth

Ability to shape how AI transforms Financial Advisor workflows and client experiences

A role that blends:

Product leadership

Data strategy

AI innovation

High exposure to senior leadership and enterprise strategy

Build and lead a next-generation product organization in a rapidly evolving AI landscape

The good-faith expected salary range for the above position is $140,000 - $230,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

Drives RBC’s high performance culture

Enables collective achievement of our strategic goals

Generates sustainable shareholder returns and above market shareholder value

Job Skills

AI Product Management, AI Product Management, Analytics, Artificial Intelligence (AI), Artificial Intelligence Strategy, Business, Business Case Design, Critical Thinking, Data Modeling, Data Strategies, Key Performance Indicators (KPI), Knowledge Organization, Leadership, Machine Learning (ML), Product Development Lifecycle, Product Development Methodology, Product Management Leadership, Product Manufacturing, Product Ownership, Product Services, Product Testing, Product Vision, Results-Oriented, Roadmapping, Value Chain Mapping {+ 1 more}

Additional Job Details

Address:

250 NICOLLET MALL:MINNEAPOLIS

City:

Minneapolis

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-10

Application Deadline:

2026-07-17

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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