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BNY

Safeguards and moves assets for investors

Director, AI & Marketing Transformation

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$130k - $281kIn-person

About the Job

Requirements

  • A bachelor's degree in marketing, engineering, data science, or a related field is required; an advanced degree is a plus.
  • At least 15 years of experience across marketing technology, artificial intelligence, and enterprise transformation, including significant tenure in a large, regulated financial institution.
  • A 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 artificial intelligence, 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 such as Workfront or similar, customer data and decisioning platforms, marketing automation, large language models, retrieval, fine-tuning, and agent frameworks, with 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 drive outcomes without direct authority in a matrixed, global organization.
  • A builder's mindset and willingness to be hands-on when the work requires it.

Responsibilities

  • 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, including 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 the 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, or no-go recommendations.
  • Define and lead the agentic AI strategy for Marketing, including reference architectures, workflows to be redesigned end to end, the required foundation of structured content and metadata standards, API access to marketing platforms, identity, permissions, observability, and audit controls, and flagship agentic builds on enterprise data that demonstrate execution capability and advance into the funded roadmap.
  • Work with the AI Hub on opportunities to create a streamlined marketing technology stack utilizing Eliza, and represent the team in enterprise-wide forums to drive best practices and learning in building AI capabilities.
  • Work across the marketing organization to drive GEO strategy and implementation.
  • 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, 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 adoption across the marketing organization through close partnership with the Change Management Team.

Desired Qualifications

  • 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.

About the Company

BNY

Safeguards and moves assets for investors

BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1784

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