Director, AI & Marketing Transformation

BNY Mellon•New York, NY

12h•$130,000 - $281,000•Onsite

About The Position

BNY is seeking a Director, AI & Marketing Transformation to join its Marketing team in New York City. The Director will define and own Global Marketing’s multi-year AI strategy and roadmap, aligning initiatives with commercial value, feasibility, strategic fit, and enterprise marketing technology, AI, and data plans. The role will establish and operate a marketing AI model for intake, prioritization, governance, funding, program delivery, and measurement of adoption and value realization. The Director will advance AI initiatives from idea through pilot and production, lead the Marketing AI sandbox and vendor evaluation process, and define the strategy, architecture, workflows, and enabling foundations for agentic AI. The role will also guide GEO strategy and implementation, develop risk-tiered AI policies and usage guidelines, and partner with risk, compliance, legal, privacy, brand, engineering, data, and the Enterprise AI Hub to clear and deliver production use cases. The Director will build and lead the Marketing AI team, manage vendor and partner relationships, represent Marketing in enterprise AI governance, and drive organizational adoption in partnership with Change Management.

Requirements

Bachelor’s degree in marketing, engineering, data science, or a related field.
15+ years of experience across marketing technology, AI, and enterprise transformation, including significant tenure in a large, regulated financial institution.
Demonstrated experience building a marketing AI operating model and portfolio from the ground up, including intake, prioritization, governance, funding, and value realization, and progressing initiatives from pilot to production at scale.
Experience developing investment cases approved at executive or operating committee level and establishing the measurement discipline to sustain them.
Hands-on experience with agentic AI, including defining strategy and reference architectures and building or directly leading the build of multi-agent workflows on enterprise data.
Deep knowledge of marketing technology and AI, including content and digital asset management, workflow management, customer data and decisioning platforms, marketing automation, LLMs, retrieval, fine-tuning, and agent frameworks; technical fluency to evaluate architectures and vendor claims.
Experience authoring AI policy and working within model risk, compliance, and brand governance in a regulated environment.
Ability to influence senior stakeholders across marketing, technology, data, risk, and finance and drive outcomes without direct authority in a matrixed, global organization.
Builder’s mindset and a get-it-done attitude, with willingness to be hands-on when needed.

Nice To Haves

Advanced degree in marketing, engineering, data science, or a related field.
Experience on both sides of transformation—as an advisor accountable for client outcomes and as an operator accountable for results inside a large institution—is strongly preferred.

Responsibilities

Define and own Global Marketing’s multi-year AI strategy and roadmap, aligned with commercial value, feasibility, strategic fit, and enterprise marketing technology, AI, and data roadmaps.
Build and run the marketing AI operating model, including demand intake and prioritization, value-based business cases, portfolio governance, PMO functions, and measurement of adoption and impact.
Drive AI initiatives from idea through pilot, production, and value realization, with clear graduation criteria; 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 comparisons, build-versus-buy decisions, and go, conditional-go, or no-go recommendations.
Define and lead Marketing’s agentic AI strategy, including reference architectures, end-to-end workflow redesign, required foundations and controls, and flagship builds on enterprise data that can progress into the funded roadmap.
Work with the AI Hub on opportunities to streamline the MarTech stack using Eliza and represent Marketing in enterprise forums focused on AI best practices and learnings.
Work across Marketing to advance GEO strategy and implementation.
Author and maintain Marketing AI policy and risk-tiered usage guidelines; partner with Model Risk Management, Compliance, Legal, Privacy, and Brand to clear models and use cases for production with controls embedded from the start.
Partner with Engineering, the Enterprise AI Hub, Data, and 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 and partner relationships, and drive organizational adoption in partnership with the Change Management Team.