Job Description
Title: AI Project Manager
Location: NYC, NY or Stamford, CT
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is seeking an experienced Enterprise AI Project Manager to lead AI, Generative AI, machine learning, and intelligent automation initiatives from ideation through implementation.
This is not a traditional IT Project Manager or PMO role. The ideal candidate has successfully delivered enterprise AI or digital transformation programs that involve cross-functional teams, executive stakeholders, governance, and organizational change.
Candidates do not need to be hands-on AI developers or data scientists, but they must understand AI delivery, business value realization, governance, risk, and user adoption. They should be comfortable working with business leaders, AI engineers, data scientists, Legal, Compliance, Risk, and Information Security to ensure AI solutions are delivered responsibly and produce measurable business outcomes.
Experience within Insurance, Financial Services, Banking, Healthcare, or another highly regulated industry is strongly preferred.
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Top Mandatory Skills
1.Enterprise AI / Generative AI Project Management (2+ years)
2.Enterprise Project / Program Management (5+ years)
3.Executive Stakeholder Management
4.Cross-Functional Leadership (Business, Technology, AI, Data Science)
5.AI Governance, Model Risk & Compliance
6.Organizational Change Management & User Adoption
7.Business Case Development & Executive Presentations
8.Agile, Scrum, Waterfall & Hybrid Delivery Methodologies
9.AI Platforms (Microsoft Copilot, Azure AI, OpenAI, Claude, or similar)
10.Financial Services, Insurance, Banking, or other Highly Regulated IndustryÂ
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Preferred Skills
•PMP, PgMP, Scrum Master, Agile, or SAFe certification
•Master's degree (MBA, Computer Science, Data Science, Engineering, or related)
•Machine Learning lifecycle (MLOps) knowledge
•Intelligent Automation / RPA initiatives
•Data Governance and Responsible AI
•Benefits Realization and KPI development
•Portfolio or PMO leadership experience
•Digital Transformation programs
•Vendor management
•Executive Steering Committee experience
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Project Info
•Contract through July 2027
•Hybrid (3 days onsite)
•Work location: Hudson Yards, NYC or Stamford, CT
•Enterprise Finance organization
•Lead multiple enterprise AI and Generative AI initiatives
•Heavy interaction with executive leadership and cross-functional business teams
•Focus on governed, scalable AI solutions that improve productivity, decision-making, and operational efficiency
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Recruiter Tips
This is an Enterprise AI Project Manager, not a traditional Software Development Project Manager.
Strong target titles include:
•AI Project Manager
•AI Program Manager
•Enterprise Program Manager
•Digital Transformation Program Manager
•Technology Program Manager
•Innovation Program Manager
•Product Delivery Manager (AI)
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Skill Definitions
Generative AI – AI technologies that generate new content such as text, code, images, or documents using large language models (LLMs).
AI Governance – Enterprise policies, controls, and oversight processes that ensure AI solutions are secure, ethical, compliant, and responsibly deployed.
Model Risk Management – Processes used to validate, monitor, and govern AI and machine learning models to ensure accuracy, reliability, and regulatory compliance.
Intelligent Automation – The combination of AI and automation technologies to streamline business processes, improve efficiency, and reduce manual work.
Benefits Realization – Measuring the business value delivered by a project, including productivity gains, operational improvements, cost savings, and enhanced decision-making.
MLOps – Practices for deploying, monitoring, maintaining, and governing machine learning models throughout their production lifecycle.
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JOB DESCRIPTION:
This is a hybrid opportunity requiring 3 days onsite in either New York, NY (Hudson Yards) or Stamford, CT.
We are seeking an experienced AI Project Manager to lead enterprise Artificial Intelligence (AI), Generative AI, machine learning, and intelligent automation initiatives. This role will partner with business leaders, technology teams, data scientists, AI engineers, and governance functions to deliver scalable AI solutions that drive measurable business value while meeting enterprise risk, compliance, and operational standards. The ideal candidate has successfully managed enterprise AI programs from ideation through implementation and is passionate about helping organizations transform through emerging technologies.
Responsibilities :
- Lead end-to-end delivery of AI, Generative AI, machine learning, and intelligent automation initiatives across the enterprise.
- Develop and manage project plans, schedules, budgets, resource plans, and execution strategies.
- Oversee multiple concurrent AI initiatives while ensuring alignment with business priorities and strategic objectives.
- Establish project governance, status reporting, risk management, issue resolution, and executive communications.
- Partner with business stakeholders to identify, prioritize, and evaluate AI use cases that deliver measurable business value.
- Translate business objectives into actionable project roadmaps, implementation plans, and technical requirements.
- Develop business cases, executive presentations, benefits realization plans, and success metrics.
- Facilitate cross-functional workshops to define AI opportunities, project scope, KPIs, and adoption strategies.
- Coordinate activities across business teams, AI engineers, data scientists, technology teams, vendors, Legal, Compliance, Risk, and Information Security.
- Ensure AI initiatives comply with enterprise governance standards, privacy requirements, model risk management practices, and regulatory expectations.
- Develop stakeholder engagement, communication, training, and organizational change management plans to support AI adoption.
- Measure solution adoption, user satisfaction, business outcomes, and return on investment (ROI).
- Identify project risks, dependencies, and delivery obstacles while driving proactive resolution.
- Continuously improve AI delivery processes, governance, and portfolio management practices.
Required Skills:
- Bachelor's degree in Business, Technology, Computer Science, Engineering, Data Science, or a related field.
- 5+ years of project or program management experience delivering complex enterprise initiatives.
- 2+ years managing AI, Generative AI, machine learning, intelligent automation, advanced analytics, or digital transformation programs.
- Experience managing cross-functional teams across business and technology organizations.
- Strong understanding of Agile, Scrum, Waterfall, and hybrid project delivery methodologies.
- Experience building executive presentations, business cases, and value realization frameworks.
- Proven ability to manage executive stakeholders and drive consensus across multiple business functions.
- Strong project planning, budgeting, risk management, portfolio management, and governance experience.
- Excellent communication, facilitation, leadership, and problem-solving skills.
- Experience working within highly regulated environments.
Preferred Skills:
- Master's degree in Business Administration, Computer Science, Data Science, Engineering, or a related discipline.
- PMP, PgMP, Scrum Master, SAFe, Agile, or equivalent project management certification.
- Experience with Generative AI platforms such as Microsoft Copilot, Azure AI, OpenAI, Anthropic Claude, or similar technologies.
- Knowledge of machine learning lifecycle management (MLOps) practices.
- Experience with AI governance, model risk management, responsible AI, privacy, and data governance.
- Experience within Insurance, Financial Services, Banking, Wealth Management, or other regulated industries.
- Familiarity with intelligent automation, process transformation, and enterprise AI adoption strategies.
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Kind Regards,
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Deep Patel
Sr. Technical Recruiter
ZealHire Inc.
14 Wall Street 20th Floor | New York, NY 10005

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