Manager Program Management

New York Technology Partners; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

New York Technology Partners seeks an experienced technical program leader to oversee an enterprise AI platform and its portfolio of AI-powered solutions. You will coordinate AI infrastructure, governance, and platform operations, ensuring smooth progression from experimentation to production.

You will align cross-functional teams across engineering, security, and product, establish delivery processes, and drive measurable platform adoption while maintaining risk controls and compliance.

Qualifications

• 8+ years leading large, cross-functional technology programs.
• Experience moving AI/ML initiatives to production at scale.
• Strong Agile and enterprise delivery knowledge.
• Familiarity with Azure-based AI tooling and governance.

Responsibilities

• Lead planning, prioritization, and execution across AI infra and tooling teams.
• Coordinate dependencies across security, architecture, and product teams.
• Establish intake, evaluation, and delivery plans for AI initiatives.
• Define production readiness, security testing, and monitoring processes.
• Implement governance, risk management, and audit documentation.
• Serve as central coordinator among sponsors, leadership, security, and users.
• Facilitate agile planning, backlogs, milestones, and releases across teams.
• Drive platform adoption and improve developer/user experience.
• Develop metrics for platform adoption, AI outcomes, incidents, and costs.

Skills

Program management

Technical delivery

Stakeholder management

Agile delivery

SQL

Azure

AI systems

Communication

Tools

Azure AI Foundry

Telemetry tooling

Dev tooling

Job description

We are seeking an experienced technical program leader to oversee the development, deployment, and ongoing evolution of an enterprise AI platform and its portfolio of AI-powered solutions. This role sits at the intersection of AI engineering, platform operations, governance, and enterprise delivery, ensuring that AI initiatives move efficiently from early experimentation into reliable, production-ready applications.

The ideal candidate combines strong program management expertise with a practical understanding of AI systems, agile delivery methodologies, and enterprise technology environments. They will coordinate cross-functional teams, establish consistent delivery processes, manage technical dependencies, and implement governance frameworks that support the secure, scalable, and responsible adoption of AI across the organization.

Key Responsibilities

• Program Delivery and Roadmap Management: Lead planning, prioritization, and execution across multiple engineering teams responsible for AI infrastructure, agent orchestration, developer tooling, identity management, monitoring, and enterprise integrations.
• Cross-Functional Coordination: Manage dependencies across engineering, security, infrastructure, architecture, and product teams to maintain delivery timelines and establish predictable release cycles.
• AI Use Case Prioritization: Establish an intake and assessment process for proposed AI initiatives, evaluating business value, data availability, technical feasibility, and associated risks before translating approved opportunities into actionable delivery plans.
• AI Production Readiness: Define and manage the processes required to transition AI solutions from prototypes to production, including performance evaluations, security testing, adversarial testing, access controls, monitoring, and rollback procedures.
• Governance and Risk Management: Establish delivery standards, approval checkpoints, human oversight requirements, and audit documentation to support reliable, transparent, and compliant AI implementations.
• Stakeholder Management: Serve as a central point of coordination for business sponsors, technical leadership, security stakeholders, and platform users, translating business objectives and technical constraints into clear priorities and decisions.
• Agile Delivery Leadership: Facilitate planning sessions, manage backlogs, track milestones, resolve delivery blockers, and coordinate release activities across multiple teams and workstreams.
• Platform Adoption: Partner with product and engineering teams to encourage adoption of shared AI capabilities, identify implementation challenges, and improve the overall developer and user experience.
• Performance Measurement: Develop reporting frameworks to track platform adoption, AI evaluation outcomes, production incidents, defect rates, delivery cycle times, and operational costs.
• Continuous Improvement: Identify opportunities to streamline delivery processes, improve team productivity, and incorporate AI-assisted workflows into program management and software delivery activities.

Required Qualifications

• 8+ years of experience in program management, technical delivery, product management, or a related discipline, including leadership of complex, cross-functional technology initiatives.
• Demonstrated experience managing large-scale technical programs across multiple teams in an enterprise environment.
• Strong understanding of Agile and scaled delivery methodologies, including planning cycles, backlog management, cross-team dependencies, and coordinated releases.
• Working knowledge of AI and large language model applications, including AI agents, retrieval-augmented generation (RAG), tool integrations, orchestration, and model evaluation.
• Understanding of the technical and operational considerations involved in moving AI applications from experimentation into production.
• Familiarity with AI quality assurance practices, including evaluation datasets, performance testing, security assessments, and safeguards against prompt injection and other adversarial inputs.
• Technical proficiency sufficient to independently validate program outcomes, including SQL skills and the ability to interpret application logs, telemetry, and evaluation results.
• Experience using generative AI tools to improve productivity, automate documentation, develop requirements, analyze delivery information, or support team workflows.
• Familiarity with Microsoft Azure and enterprise technology controls, including identity and access management, network security, secrets management, and change management processes.
• Excellent communication, organizational, problem-solving, and stakeholder management skills.

Preferred Qualifications

• Experience working with Azure-based AI development and deployment platforms, including Azure AI Foundry or comparable enterprise AI tooling.
• Familiarity with Microsoft Fabric or similar enterprise data and analytics platforms.
• Experience establishing AI evaluation frameworks, maintaining benchmark datasets, coordinating red-team exercises, or incorporating responsible AI reviews into release processes.
• Experience partnering with platform engineering or operations teams on service-level objectives (SLOs), incident response, production monitoring, and operational readiness.
• Background delivering technology programs within financial services, healthcare, or other regulated industries.
• Understanding of enterprise audit requirements, data governance, security reviews, and compliance documentation.
• Experience implementing AI-assisted software development or delivery practices across engineering teams.