Director, AI Planning & Enablement

Comcast•Philadelphia, PA

22h•$169,261 - $276,973

About The Position

Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Job Summary The Director, Comcast Advertising AI Planning & Enablement will play a foundational role in shaping and operationalizing Comcast Advertising’s enterprise AI strategy. This leader will serve as the central connective tissue across business units, ensuring AI initiatives are governed responsibly, aligned to monetization priorities, and executed in a way that drives measurable business value. Reporting to the VP, this role serves as the enterprise connector across Product, Engineering, Data Science, Sales, Finance, and HR, ensuring AI investments are aligned, governed, and executed at scale. The Director will partner closely with Product, Engineering, Data Science, Sales, Finance, and HR to translate AI ambition into a prioritized, value‑driven portfolio of initiatives. As a builder of a new function, the Director will establish the operating model, governance frameworks, and playbooks that enable teams to adopt AI safely, consistently, and at scale. Success in this role requires comfort with ambiguity, strong enterprise influence, and the ability to balance innovation with discipline.

Requirements

8–12 years of experience in strategy, product/portfolio management, enterprise transformation, or technology-enabled change in large or matrixed organizations.
Proven ability to lead cross functional initiatives and influence without direct authority.
Demonstrated experience orchestrating cross ‑ functional programs with Product, Engineering, Data/Analytics, Sales, Finance, and HR—Influence without direct control.
Proven ability to prioritize a portfolio using value hypotheses/ROI, run executive ‑ level operating rhythms, and escalate/resolve tradeoffs.
Knowledgeable in applied AI (targeting, personalization, content intelligence, automation, analytics) and the lifecycle from problem framing to scale; bridges technical and business teams.
Advertising/media/ AdTech domain (ad servers, DSP/SSP, identity/measurement, yield optimization, campaign ops) or consulting to these sectors.
Track record leading change adoption at scale (training/upskilling, communications, manager enablement, success measurement).
Built or scaled a Center of Excellence or portfolio governance capability.
Aligned AI/analytics initiatives to monetization (revenue growth, advertiser value, cost containment).
Multiple background paths considered include consulting, product/strategy leadership, or enterprise transformation roles.

Nice To Haves

MBA/advanced degree or equivalent executive ‑ level impact.

Responsibilities

AI Planning & Monetization Align AI roadmaps across business units to enterprise goals including revenue growth, operational efficiency, and customer outcomes.
Partner with business leaders to identify , prioritize, and sequence AI use cases based on value, feasibility, and risk.
Establish success metrics (ROI, KPIs, adoption) and hold AI initiatives accountable to measurable results.
Communicate AI portfolio progress, risks, and tradeoffs to executive stakeholders to drive timely decisions.
AI Adoption & Change Leadership D rive enterprise AI adoption by partnering with HR to embed AI into roles, workflows, and decision making through training and change programs.
Define adoption targets and measure usage, effectiveness, and employee sentiment.
Champion AI-enabled ways of working through storytelling, best-practice sharing, and leader engagement.
Identify adoption barriers and partner with leaders to correct course .
Cross ‑ Functional Collaboration Serve as the enterprise coordination point for AI initiatives across Product, Engineering, Data Science, Sales, Marketing, and Operations.
Align business requirements, technical solutions, and delivery plans across teams.
Resolve cross-team dependencies and prioritization conflicts to maintain momentum.
Governance & Measurement Operationalize AI governance standards across data usage, model risk, vendor selection, architecture, and responsible AI.
Partner with Legal, Privacy, Security, and Data teams to ensure compliance with policies and regulations.
Establish consistent reporting on adoption, financial impact , and operational outcomes to inform investment decisions.