Director, AI – Marketing Transformation

BNY

. Define and own the multi-year AI strategy and roadmap for Global Marketing .

Posted 10/26/2026full-timeNew York City • New York • United StatesLead💰 $130,000 - $281,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and executing a multi-year AI strategy for marketing, with a strong focus on building marketing AI operating models and governance frameworks. Proven ability to lead cross-functional teams and drive initiatives from concept to production in a regulated environment.

Highest-signal resume keywords

AI Strategy DevelopmentMarketing AI Operating ModelVendor Evaluation and ManagementRegulatory Compliance ExperienceCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agentic AIMarketing TechnologyPortfolio GovernanceValue RealizationContent ManagementDigital Asset ManagementMarketing AutomationData ScienceInvestment Case DevelopmentMeasurement Discipline

Soft Skills

Influencing Senior StakeholdersDriving Outcomes Without AuthorityBuilder's MindsetGet-It-Done Attitude

Tools & Technologies

WorkfrontCustomer Data PlatformsDecisioning PlatformsLLMsAPI Access

Industry Keywords

Financial InstitutionEnterprise TransformationModel Risk ManagementComplianceBrand Governance

About the role

Key responsibilities & impact

Define and own the multi-year AI strategy and roadmap for Global Marketing
Build and run the marketing AI operating model, including intake, prioritization, business cases, portfolio governance, PMO and value realization
Drive initiatives from idea through pilot, production and value realization
Deliver priority programs across content supply chain, campaign workflow, AI search visibility and client engagement
Lead the Marketing AI sandbox and vendor evaluation process
Conduct model and vendor comparisons and make build-versus-buy recommendations
Define and lead the agentic AI strategy for Marketing
Establish reference architectures, redesigned workflows, content and metadata standards, API access, identity, permissions, observability and audit controls
Lead flagship agentic builds on enterprise data
Collaborate with the AI Hub on a streamlined MarTech stack utilizing Eliza
Represent the team in enterprise-wide AI forums
Drive GEO strategy and implementation across the marketing organization
Author and maintain Marketing’s AI policy and usage guidelines
Partner with Model Risk Management, Compliance, Legal, Privacy and Brand to clear models and use cases for production
Partner with Engineering, Enterprise AI Hub, Data and business marketing teams through cross-functional solution squads
Represent Marketing in enterprise AI governance forums
Build and lead the Marketing AI team
Manage vendor and partner relationships
Drive adoption across the marketing organization with the Change Management Team

Requirements

What you’ll need

Bachelor’s degree in marketing, Engineering, Data Science or related field
15+ years of experience across marketing technology, AI and enterprise transformation
Significant tenure in a large, regulated financial institution
Proven track record of building a marketing AI operating model and portfolio from the ground up
Experience with intake, prioritization, governance, funding and value realization
Demonstrated progression from pilot to production at scale
Experience developing investment cases approved at executive or operating committee level
Experience establishing measurement discipline
Hands-on experience with agentic AI, including agentic strategy, reference architectures and multi-agent workflows on enterprise data
Deep knowledge of marketing technology and AI stack, including content and digital asset management, Workfront or similar, 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 operating within model risk, compliance and brand governance in a regulated environment
Ability to influence senior stakeholders across marketing, technology, data, risk and finance
Ability to drive outcomes without direct authority in a matrixed, global organization
Experience as both an advisor accountable for client outcomes and an operator accountable for results inside a large institution strongly preferred
Builder’s mindset and get-it-done attitude
Willingness to be hands-on when required

Benefits

Comp & perks

Highly competitive compensation
Benefits and wellbeing programs
Flexible global resources and tools
Generous paid leaves, including paid volunteer time
Annual discretionary incentive award eligibility
401(k) plan
Company-sponsored medical insurance
Company-sponsored dental insurance
Company-sponsored vision insurance
Basic life insurance for employee and eligible dependents
Vacation and sick time
Pay-for-performance philosophy