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About the Role
This role is ideal for a highly organized operator and communicator who can connect strategy to delivery, create visibility across priorities, and enable disciplined execution across senior stakeholders and cross-functional teams. The successful candidate will bring structure to ambiguity, help leadership manage competing priorities, translate strategy into actionable plans, and strengthen how the organization plans, operates, and delivers across a broad AI/ML Engineering agenda.
Responsibilities
- Drive planning across business priorities, AI/ML initiatives, resource needs, delivery commitments, and priority management to support execution against strategic goals.
- Create portfolio visibility across strategic programs, including prioritization, dependency tracking, milestone management, executive reporting, and follow-through on key decisions.
- Support executable roadmaps, backlogs, and planning cadences by aligning demand, capacity, sequencing, and delivery commitments across teams and partners.
- Translate leadership strategy into actionable execution plans, helping ensure priorities are clearly defined, resourced, sequenced, and tracked.
- Build strong relationships across engineering, product, business, risk, finance, operations, and delivery stakeholders to align priorities, resolve dependencies, and accelerate execution.
- Orchestrate leadership forums, decision cadences, status reviews, and follow-up actions to support timely decision-making, transparency, and operational discipline.
- Help strengthen governance, delivery discipline, control effectiveness, and operating efficiency through metrics, analytics, process improvements, and clear communication of risks, dependencies, and tradeoffs.
- Facilitate engagement with risk, governance, and control partners while helping clarify business, commercial, and delivery needs.
- Prepare executive-level materials, insights, and recommendations that synthesize complex information into clear action plans and practical decisions.
Requirements
- Bachelor’s degree or equivalent work experience in a related discipline (e.g., Engineering, Business, Information Systems, or related field).
- Advanced degree and/or relevant professional certifications in project/program management, agile or product delivery frameworks preferred.
- Typically 12-15 years of experience
- Preferred 9+ years of experience in delivery leadership, strategy, business management, operations, program management, portfolio management, or a similar role supporting senior leadership in a complex environment.
- Strong planning, execution, and portfolio management capabilities, ideally within AI/ML, data, technology, or transformation-focused organizations.
- Experience driving end-to-end delivery across cross-functional teams, with practical knowledge of agile delivery methods, backlog management, dependency management, milestone tracking, and delivery metrics.
- Demonstrated ability to bring structure to ambiguity, manage competing priorities, and support disciplined follow-through across complex initiatives.
- Strong data literacy, including experience defining KPIs and OKRs, building executive-level reporting, and using analytics and visualization to inform decisions and improve outcomes.
- Demonstrated ability to influence across a matrixed organization and build credibility with senior stakeholders through clear communication, sound judgment, and disciplined execution.
- Excellent communication, analytical, and executive presentation skills, with the ability to synthesize complex information into clear action plans and practical recommendations.
- Understanding of enterprise SDLC processes is a plus; exposure to AI/ML-enabled solutions or agentic AI operating models is beneficial.
Skills
- AI/ML
- Delivery leadership
- Strategy
- Business management
- Operations
- Program management
- Portfolio management
- Agile delivery methods
- Backlog management
- Dependency management
- Milestone tracking
- Delivery metrics
- Data literacy
- KPI definition
- OKR definition
- Executive reporting
- Analytics
- Visualization
- Influence
- Communication
- Analytical skills
- Executive presentation
- SDLC processes
- AI/ML-enabled solutions
- Agentic AI operating models
Location
- New York City
Work Type
- Full-time
Experience Level
- 12-15 years
- 9+ years
Education Level
- Bachelor’s degree or equivalent work experience
- Advanced degree and/or relevant professional certifications
Salary/Compensations
- Expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.
- Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
- Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award.
Benefits
- Highly competitive compensation
- Benefits and wellbeing programs
- Access to flexible global resources and tools
- Focus on health
- Foster personal resilience
- Reach financial goals
- Generous paid leaves
- Paid volunteer time
- 401(k) plan
- Company-sponsored medical, dental, vision, and basic life insurance plans
- Various paid time off benefits, such as vacation and sick time
About the Company
- BNY is a leading global financial services company at the heart of the global financial system, influencing nearly 20% of the world’s investible assets.
- Teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
- BNY is recognized as a top destination for innovators where bold ideas meet advanced technology and exceptional talent.
- BNY Newsroom [https://www.bny.com/corporate/global/en/about-us/newsroom.html]
- BNY LinkedIn [https://www.linkedin.com/company/bnyglobal/posts/?feedView=all]
- America’s Most Innovative Companies, Fortune, 2025
- World’s Most Admired Companies, Fortune 2025
- “Most Just Companies”, Just Capital and CNBC, 2025
Equal Opportunity
- BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.