Director, Technology FinOps

BNY Mellon•New York, NY

2d•Onsite

About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. The Director of FinOps will build and lead BNY’s Technology FinOps capability to drive financial accountability and maximize ROI across the technology estate. Operating in a dual-report structure to the Engineering Hub Lead and the CFO, Engineering, this role spans strategy, execution, and influence—standing up the operating model, recruiting and leading a team, and embedding cost-conscious decision-making across a complex, multi-cloud, multi-vendor environment. The initial scope on cloud and AI cost management, extends into data platform economics, and will expand over time to include software usage-based contracts. The Director will own the full FinOps lifecycle—visibility, allocation, optimization, and governance—across all domains in scope This role is located in New York City

Requirements

10+ years in technology finance, cloud engineering, infrastructure operations, or related discipline; at least 3 years leading a FinOps or technology cost management function.
Proven track record of building a FinOps capability from early maturity to a steady-state operating model in a large enterprise.
Strong understanding of cloud pricing models, commitment instruments, and consumption-based billing across major providers.
Experience designing cost allocation models, tagging taxonomies, and chargeback/showback frameworks.
Demonstrated ability to influence without authority across engineering, finance, procurement, and executive stakeholders.
Excellent analytical, communication, and executive presentation skills; capable of translating AI-driven insights into actionable decisions.
Experience in financial services or a similarly regulated industry.

Nice To Haves

Expertise in building agentic systems (rule-based and learning agents), MLOps/FinOps integrations, forecasting and anomaly detection methods, and responsible AI governance in production environments.

Responsibilities

Define and execute the enterprise FinOps strategy centered on agentic products and autonomous workflows, aligned with engineering, finance, and business objectives.
Establish a FinOps Agent Suite roadmap.
Partner with Finance to codify cost taxonomy, allocation rules, and metadata/tagging standards to enable showback, chargeback, forecasting, auditability, and unit economics-delivered through self-service AI assistants.
Build data products that expose transparent allocation by business unit, product, application, environment, owner, and workload type.
Manage commitment-based spend and optimize coverage versus utilization across providers.
Deploy anomaly detection agents, variance reporting copilots, and automated remediation workflows with human-in-the-loop approvals for high-risk actions.
Build forecasting models and track unit economics tied to measurable business outcomes.
Partner with Engineering Analytics to normalize the spend data model across provider feeds and maintain an authoritative cost graph with lineage and quality checks.
Oversee the cost data pipeline from ingestion to near real-time reporting, surfacing insights via dashboards and conversational agents for Finance and Engineering.
Enable automated alerting, recommendations, and enforcement.
Establish and improve governance cadences: weekly operational agent reviews, monthly forecast/budget reviews, and quarterly contract/architecture reviews with AI-driven insights.
Partner with procurement and legal on contract renewals, vendor rationalization, and commercial optimization.
Embed responsible AI practices in all agentic workflows.