AI Strategy and Transformation Lead

Select Solutions Group LLC
New York, NY, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Software as a Service Data Infrastructure Data Integration Data Systems Platform as a Service (PAAS) Microsoft SharePoint Software Deployment Large Language Models

Job description

We are seeking an AI Strategy and Transformation Lead to drive a high-profile AI transformation program within the marketing function of one of the world’s leading financial institutions. This is a senior client-facing role, working directly with marketing leadership to shape and deliver a forward-looking AI strategy - spanning governance, tooling, operating model design, and measurable adoption.

You will operate at the intersection of strategy and delivery: translating executive vision into structured programs, navigating the complexity of a highly regulated enterprise, and ensuring AI capabilities are embedded into how the marketing organization works - not just what it procures.

The qualified candidate will be responsible for the following:

· Lead the end-to-end AI strategy and transformation program for a large marketing function at a Tier 1 financial institution

· Serve as a primary strategic advisor to senior marketing leadership, presenting recommendations and roadmaps to C-suite and senior director-level stakeholders

· Define and evolve the AI strategy, including tool selection, operating model design, governance frameworks, and adoption planning

· Develop and maintain a dual-track program roadmap - balancing near-term wins with long-term transformation objectives

· Facilitate executive workshops that translate complex technical concepts into clear, actionable decisions

· Take ambiguous inputs, stakeholder feedback, and shifting priorities, and convert them into structured deliverables with clear owners and timelines

· Produce high-quality strategy decks, briefing materials, and executive presentations; iterate rapidly based on client feedback

· Research and evaluate emerging AI tools, platforms, and use cases - bringing informed, evidence-based recommendations to the table

· Identify blockers to adoption and design pragmatic interventions grounded in organizational behavior and change management principles

The qualified candidate will have the following experience/skills

Requirements

· Demonstrated experience leading AI transformation or digital strategy programs in complex enterprise environments

· Strong background in financial services or banking; prior experience operating in highly regulated or high-stakes environments, where governance, compliance, and risk considerations shape how decisions are made, is important

· Exceptional communication and executive presence - comfortable presenting to and influencing C-suite leadership

· Proficiency in developing polished, insight-driven presentations and iterating them quickly against senior feedback

· Technical fluency across the AI landscape: working knowledge of frontier models, LLMs, SaaS/PaaS platforms, and foundational data systems - sufficient to hold credible conversations with both technical teams and non-technical executives

· Familiarity with prominent AI tools, applications, and enterprise use cases across productivity, content, and analytics functions

· Understanding of data foundations and how they underpin AI deployment - familiarity with Lakehouse architectures, SharePoint, and content management ecosystems, and patterns for integrating data infrastructure with AI applications is preferred

· Ability to facilitate structured workshops and simplify complex solution concepts for non-technical audiences

· A track record of developing strategic roadmaps that balance ambition with delivery reality

· Resourcefulness and intellectual curiosity - proactively researching, synthesizing, and applying new information to client problems

· Experience working in agile or structured delivery environments, with comfort managing multiple workstreams simultaneously

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