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# Director, AI & Marketing Transformation

- **Company:** The Bank of New York Mellon Corporation
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Customer Data Management, Digital Asset Management, Automation of Marketing, Metadata Standards, Search Technologies, Enterprise Data Management, Large Language Models, Multi-Agent Systems, Agentic-AI, Adobe Workfront
- **Published:** October 27, 2026
- **Apply:** https://diversityjobs.com/career/18749445/Director-Ai-Marketing-Transformation-New-York-New-York

## About the Role

* Bachelor's degree in marketing, Engineering, Data Science or related field, advanced degree a plus.
 * 15+ years of experience across marketing technology, AI and enterprise transformation, with significant tenure in a large, regulated financial institution.
 * Proven track record of building a marketing AI operating model and portfolio from the ground up, including intake, prioritization, governance, funding and value realization, with demonstrated progression from pilot to production at scale.
 * Experience developing investment cases approved at executive or operating committee level and establishing the measurement discipline that sustains them.
 * Hands-on experience with agentic AI, including defining agentic strategy and reference architectures and building or directly leading the build of multi-agent workflows on enterprise data.
 * Deep knowledge of the marketing technology and AI stack, including content and digital asset management, workflow management (Workfront or similar), customer data and decisioning platforms, marketing automation, LLMs, retrieval, fine-tuning and agent frameworks, with the technical fluency to evaluate architectures and vendor claims directly.
 * Experience authoring AI policy and operating within model risk, compliance and brand governance in a regulated environment.
 * Ability to influence senior stakeholders across marketing, technology, data, risk and finance, and to drive outcomes without direct authority in a matrixed, global organization.
 * Experience on both sides of transformation, as an advisor accountable for client outcomes and as an operator accountable for results inside a large institution, strongly preferred.
 * A builder's mindset and a get-it-done attitude, with the willingness to be hands-on when the work requires it.

## Description

* Define and own the multi-year AI strategy and roadmap for Global Marketing, sequenced by commercial value, feasibility and strategic fit, and aligned to the enterprise marketing technology, AI and data roadmap.
 * Build and run the marketing AI operating model: a single intake and prioritization process for AI demand across businesses and regions, value-based business cases, a governed portfolio of initiatives, and PMO and value realization functions that measure adoption and impact.
 * Drive initiatives from ideas through pilot, production and value realization, with clear graduation criteria at each stage, and deliver priority programs across content supply chain, campaign workflow, AI search visibility and client engagement.
 * Lead the Marketing AI sandbox and vendor evaluation process, including controlled testing, model and vendor comparison, build-versus-buy decisions, and go / conditional go / no-go recommendations.
 * Define and lead the agentic AI strategy for Marketing: reference architectures, the workflows to be redesigned end to end, the foundation agents require (structured content and metadata standards, API access to marketing platforms, identity, permissions, observability and audit controls), and flagship agentic builds on enterprise data that prove execution capability and graduate into the funded roadmap.
 * Work closely with the AI Hub on opportunities to create a streamlined MarTech stack utilizing Eliza and represent the team in enterprise-wide forums driving best practices & learnings in building AI capabilities.
 * Work closely across the marketing organization to drive advancements in GEO strategy & implementation which is a key priority for marketing and enterprise.
 * Author and maintain Marketing's AI policy and usage guidelines on a risk-tiered basis, and partner with Model Risk Management, Compliance, Legal, Privacy and Brand to clear models and use cases for production with controls embedded at the start of each phase.
 * Partner with Engineering, Enterprise AI Hub, Data and the business marketing teams to deliver through cross-functional solution squads and represent Marketing in enterprise AI governance forums.
 * Build and lead the Marketing AI team, manage vendor/partner relationships; and drive adoption across the marketing organization through close partnership with the Change Management Team.