Head of AI Enablement

J.D. Power•Ontario - Remote, ON

2d•CA$240,000 - CA$260,000•Remote

About The Position

JD Power is hiring the first dedicated leader of our AI Enablement Hub. JD Power has been investing in AI for some time, and the next stage of that work is to formalize the function, set the standards, and accelerate adoption across the enterprise. The person we hire will personally drive the technical decisions, prototypes, and tooling that shape how the company adopts AI at scale. Every business unit, every team, every workflow that should be using AI is using it well. JD Power has an active engineering and product organization driving AI delivery, with meaningful adoption already across the business. The Hub is how we coordinate that work, set common standards, and translate momentum into measurable enterprise impact. This is a builder role, not a steward role. The seat reports into the CPTO with board-level visibility on adoption and productivity outcomes.

Requirements

Ability to influence and collaborate across business and technical teams without direct authority.
Strong communication skills, comfortable presenting to executive leadership and facilitating working sessions.
Experience driving technology adoption and organizational change at scale.
Experience in data-intensive or research-driven environments.
Familiarity with governance, risk, compliance, or responsible AI frameworks.
Understanding data privacy regulations and enterprise AI platforms such as Microsoft Copilot, Gemini Enterprise, Claude, or ChatGPT Enterprise (preferred).

Nice To Haves

IC readiness. The role is an individual contributor seat with executive sponsorship and a Champions network already engaged across the business. You should be energized by personally building and shipping rather than waiting to delegate. Candidates whose value depends on a team underneath them are not a fit for this role.
Workforce enablement and cultural change. Demonstrated experience driving adoption of new technology or new ways of working across thousands of people, in environments where the business did not start out asking for it. This is the outcome we measure against.
Governance, responsible AI, and enterprise data. Working knowledge of responsible-AI practices, data classification, and how regulated data moves through AI systems, including the boundaries between what can be shared with hosted models, what stays in private inference, and what triggers Legal review. You should be able to write a usable policy, not just commission one.
Enterprise scale and cross-functional influence. Operating across business and technical functions without direct authority, including credibility with senior engineering leaders. The ability to land tough messages with executives and bring resistant business units along.
A relevant degree is a plus, not a requirement. Equivalent experience is weighted equally.
Industry background is open. Financial services, professional services, B2B data, and tech are all relevant. What matters is that you have done this work in an environment with mature engineering and a thoughtful executive team.
Technical builder who can sit across the table from our engineering leaders and hold their own as a peer, and who can sit across the table from a skeptical business unit head and bring them along.
Builds. Evaluates tools hands-on, prototypes, writes the spec, owns the decision.
Operate at tempo, juggle multiple workstreams without losing the thread, and make calls quickly with imperfect information.
Land in the engineering group as a peer on day one. Building, prototyping, and challenging their thinking, not routing around them and not asking them to translate.

Responsibilities

Personally evaluate, prototype with, and drive decisions on the AI tools and platforms we adopt across the enterprise. This includes hands-on testing of agents, models, and orchestration layers.
Build the internal tools, dashboards, prototypes, and reference implementations that show what good AI adoption looks like in practice, rather than commissioning them.
Set and run the AI adoption strategy across the enterprise, including the metrics, milestones, and reporting cadence the executive team and board use to track progress.
Formalize and operate the AI Enablement Hub as a cross-functional capability. Operating model, intake, prioritization, decision rights, and the cadences that keep it running.
Build and lead a distributed Champions network embedded in business units. The Hub coordinates. Champions deliver inside their functions. You will not pull these roles into a centralized team.
Chair the AI Steering Committee and act as the senior point of coordination across CPTO, CDAO, CHRO, Legal, Risk, Communications, and business unit leaders.
Define and operationalize the JD Power AI governance framework. Policies, guardrails, and responsible-AI guidelines, written by someone who has built with the technology.
Partner with HR on AI skills, role evolution, and the workforce implications of AI productivity gains.
Build the business cases for AI investments and own value delivery across the portfolio.
Communicate AI strategy to internal and external audiences, including the board and our PE owner, in plain business language.
Operate at pace, decide what gets done first, push the right work through the Champions network and engineering partners, and deliver real AI impact while the structure is being formalized.
Shape the proportion, sequencing, and operating model of the Hub, designed to scale alongside the work.