AI Transformation Program Lead

Blackhawk Network•Coppell, TX

1d•Hybrid

About The Position

Blackhawk Network is seeking a transformational program leader to drive the use of AI across the company. This role will bridge business strategy, process design, and execution, partnering with the AI Solutions Architect and business leaders to identify, prioritize, and deliver large-scale AI-driven improvements. The focus is on reimagining how work gets done and ensuring AI solutions deliver measurable impact, rather than traditional program management. This is a highly skilled, individual contributor role reporting to the VP, Tech Bus Ops & Program Management.

Requirements

Ability to operate at multiple levels: Strategic (defining where to go) and Tactical (driving execution day-to-day).
8+ years of experience in business transformation, operations leadership, or change management, specifically driving digital transformation adoption.
Related bachelor’s degree (Business, Tech, etc.).
Proven ability to redesign business processes end-to-end and driving cross-functional programs in complex organizations.
Hands-on experience with GenAI (specifically Glean, Claude, Copilot enterprise tools), and workflow automation platforms, with an applied focus on workflow redesign.
Comfort working alongside highly technical partners (you don’t need to build AI - but you need to “get it”).
Demonstrated success leading large-scale change, influencing stakeholders without direct authority, and driving adoption in complex organizations.
Strong business acumen - capability to define KPIs, understand cost structures, evaluate ROI, and ensure adherence to AI ethics.
Executive-level verbal/written skills, with experience designing enterprise learning programs to train staff on new technologies.
Candidates should demonstrate curiosity and adaptability in emerging technologies and have successfully implemented and utilized AI tools to enhance their work, improve processes, or deliver measurable results.

Responsibilities

Partner with functional leaders (Finance, Operations, Customer Support, GTM) to identify high-impact process inefficiencies.
Define future-state workflows enabled by AI.
Drive adoption and change management: Redesign workflows and operating models.
Be comfortable pushing the idea of eliminating teams if processes are redesigned.
Redesign from scratch, not just optimize.
Ensure teams actually use and benefit from new solutions.
Lead end-to-end program execution: Translate business requirements into clear problem statements.
Partner with the AI Architect to drive solution design and delivery.
Ensure on-time, high-quality deployment.
Own prioritization and roadmap: Build and manage an enterprise AI opportunity pipeline.
Sequence initiatives based on impact, feasibility, and speed.
Quantify and track impact: Cost savings / headcount efficiency, productivity improvements, quality and cycle time gains.