AI Project Manager

AI Project Manager
Boston, Massachusetts

Onsite 3 days/week in Boston, MA (50 Post Office Square, Boston, MA 02110) - not open to relocation

Resume Constraint: Resumes MUST be 3 pages or less. Submissions must also include LinkedIn profile with picture and full name, and indicate any upcoming vacations.

Role Overview

Seeking an AI Technical Project Manager to lead the adoption of AI-enabled products, platforms, and solutions across the organization. This role combines strong project management discipline with technical understanding of AI/ML technologies, data platforms, cloud infrastructure, and software engineering practices. The individual will coordinate cross-functional teams across Software Development, Infrastructure, Cybersecurity, Legal, Compliance, Risk Management and Vendor Management, manage delivery risks, align stakeholders, and ensure AI initiatives deliver measurable business value while meeting security, compliance, and governance requirements.

The ideal candidate is a technically credible project manager who can confidently engage with developers, architects, infrastructure teams, cybersecurity, control functions, and senior executives. You must be able to hit the ground running with no hand-holding, combining project management, AI technology knowledge, stakeholder management, and change leadership to drive enterprise-scale adoption of AI.

Key Responsibilities & Outcomes

AI Program and Project Delivery:

Lead end-to-end delivery of Generative AI, Agentic AI and Machine Learning initiatives.

Define project scope, objectives, success metrics, milestones, and delivery plans.

Establish and manage project schedules, budgets, resources, and dependencies.

Drive execution across multiple concurrent AI projects and workstreams including developer productivity and legacy code modernization platforms.

Monitor project progress and proactively address risks, blockers, and issues.

Build strong partnerships across Technology, Risk, Legal, Compliance, and Business teams.

Manage stakeholder expectations, priorities, and competing demands.

Act as the primary liaison between technology teams, control functions, legal and vendors.

Deliver clear and concise status updates to senior management and executive stakeholders (reports status to leadership weekly).

AI Governance, Risk & Compliance:

Establish approved usage patterns, governance standards, and operating procedures.

Ensure AI projects comply with internal governance frameworks and regulatory requirements.

Coordinate risk assessments, legal reviews, cybersecurity evaluations, and compliance requirements.

Partner with Architecture and Engineering teams on integrations, security controls, and platform enhancements.

Technical Leadership & Coordination:

Facilitate technical design discussions and challenge assumptions to optimize solutions.

Ensure alignment between AI solutions, enterprise architecture standards, cybersecurity requirements and infrastructure strategy.

Partner with AI Development, Cyber Security, Vendor Management and Infrastructure teams to ensure successful solution delivery.

Value Realization & Reporting:

Define KPIs and success metrics for AI platforms (time-to-onboard, growth in active users, productivity/efficiency gains, ROI, and compliance implementation).
Track utilization, productivity gains, cost optimization, and return on investment.
Build executive dashboards and adoption reporting.
Recommend expansion, optimization, or retirement of AI capabilities based on business value and usage data.

Qualifications & Requirements

Required:
10+ years of Project Management, Program Management, or related experience.
3+ years leading Gen AI and Machine Learning initiatives.
Mandatory Development Background: Must have prior experience as a developer in Java and/or Python creating genAI projects before transitioning into a technical PM role. Must be able to drive the project technically, not just manage the project.
Mandatory Certification: Generative AI Certification from Microsoft, AWS, Google, Databricks, or equivalent, covering LLMs, AI agents, retrieval-augmented generation (RAG), prompt engineering, enterprise AI architecture, security, and responsible AI.
Strong understanding of Generative AI, Agentic AI, AI SDLC, cloud platforms, developer productivity tools, and enterprise architecture concepts.
Experience working with cross-functional stakeholders including Engineering, Cyber, Risk, Compliance, and Legal.
Excellent communication, presentation, and leadership skills.

Preferred:
Experience with GitHub Copilot, Azure Foundry, Claude Code or similar enterprise AI solutions.
Experience leading enterprise technology adoption and/or change management initiatives.Familiarity with AI governance frameworks, software development practices, cloud platforms.
Project Management Professional (PMP) or equivalent certification.
Financial services experience is a plus and highly preferred.

BADAL KANOJIA
IT TECHNICAL RECRUITER
Contact No: View phone number on click.appcast.io
Email: View email address on click.appcast.io
Gtalk; View email address on click.appcast.io