Job Specifications
We are seeking a Director – AI & Data Strategy (Retail Transformation) to lead executive-level AI initiatives and build a scalable retail delivery practice for Intellibus.
This role sits at the intersection of:
Retail business strategy
AI & data platforms
Engineering execution
You will partner directly with CIO, CTO, CDO, and business executives, translate strategy into executable programs, and oversee delivery across multiple squads covering:
AI experimentation
Data foundations
Engineering modernization
This is a hands-on leadership role for someone equally comfortable in the boardroom and deep in delivery planning and technical reviews.
What We Are Specifically Looking For
We are targeting leaders with experience in:
Brick-and-mortar retail, grocery, or omnichannel enterprises
Merchandising and supply chain platforms
Store operations and POS ecosystems
Retail data platforms and analytics
AI applied to operational decision-making
Ideal backgrounds include companies such as:
Large grocery chains, big-box retailers, or retail technology divisions where technology had to coexist with real-world operations.
Retail transformation experience is mandatory.
Key Responsibilities:
Executive Leadership & Strategy
Serve as the primary Intellibus partner to the client’s Executive Leadership Team.
Translate business priorities into a prioritized portfolio of AI and data initiatives.
Lead executive AI roadmap reviews and value realization discussions.
Ensure all initiatives align with governance, compliance, and ethical AI standards.
Act as a trusted advisor balancing ambition with technical and operational reality.
Program Direction & Delivery Oversight
Own delivery across three core workstreams
AI pilots and rapid experimentation
Data foundations and integration platforms
Engineering excellence and modernization
Coordinate ~20–30 engineers, data scientists, and delivery leads
Manage execution plans, sprint cadence, and dependency resolution
Track KPIs including productivity, cycle time, and business impact
Ensure integration across AI, data, and engineering initiatives
Technical & Operational Leadership
Provide architectural oversight for AI and data platforms
Guide AI problem framing, experimentation design, and success metrics
Advise on cloud platforms, MLOps, and data engineering practices
Understand retail systems (POS, loyalty, merchandising, supply chain) and how AI enhances them
Review and approve major technical deliverables
Team & Practice Leadership
Build and scale Intellibus’ Retail AI delivery practice
Mentor squad leads and technical managers
Standardize methodologies across AI, data, and engineering teams
Partner with internal operations to scale delivery globally
Represent Intellibus’ standards of engineering excellence and ethical AI
Governance, Reporting & Value Realization
Establish operating cadence:
Weekly squad syncs
Bi-weekly sprint reviews
Monthly executive checkpoints
Deliver executive dashboards quantifying ROI and operational impact
Publish quarterly AI practice updates and roadmap adjustments
Drive continuous improvement across delivery and governance
Required Qualifications
12–20 years in technology, AI, data, or digital transformation
5+ years in executive-facing leadership or consulting roles
Direct retail, grocery, or supply chain domain experience (mandatory)
Strong understanding of:
AI/ML systems and experimentation
Data engineering and analytics platforms
Cloud and modern software architecture
Proven ability to lead multi-disciplinary teams (20–30+)
Executive communication and influence skills
Consulting or systems integration background strongly preferred
Based in or near Phoenix, AZ (hybrid presence required)
Interview Process
15-minute introductory video call with a member of our team
Proctored GQ assessment and slide presentation exercise to evaluate problem-solving and presentation skills
Leadership and Executive interviews (panel or individual sessions, as needed)
Offer decision and onboarding
If you are interested in contacting us, please apply, and our team will reach out to you within the hour.
About the Company
We are a team of passionate software engineers and entrepreneurs. We love to solve challenging problems efficiently. We advise Board Members and C Level Executives of some of the Largest Financial Institutions on all things Technology from Cloud Computing to Artificial Intelligence. Recognition -- Top 3 Best Tech in DC, 2016 -- Tech Ovation Semifinalist, 2017 -- Moxie Awards Semifinalist, 2018 -- New Award -- To be Announced Aug 15, 2023 We have evaluated companies and services like Salesforce, Amazon Web Services, Microsof...
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