AI Program Manager

TEKsystems; United States; Hybrid; USD 96,000 - 124,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Plan

Life Insurance

Disability coverage

Transit benefits

Job summary

TEKsystems is seeking an AI Program Manager to lead the enterprise AI Governance Roadmap, coordinating cross-functional execution across governance, risk, security, privacy, and data domains. The role drives ownership, evidence, and momentum among executives and stakeholders.

The ideal candidate has 7–10 years in similar programs, strong governance knowledge, and a proven ability to translate complex requirements into actionable plans, with a hybrid, Northern Virginia-based work arrangement.

Qualifications

• 7–10 years in program management, governance, or risk in financial services.
• Experience leading cross-functional programs with multiple workstreams and executive stakeholders.
• Knowledge of AI governance concepts: lifecycle, risk, third‑party risk, data governance, auditing.
• Strong delivery discipline: roadmap planning, RAID, governance routines, executive reporting.
• Ability to translate regulatory, risk, security, privacy, data, tech, and business requirements into actionable plans.
• Excellent facilitation and executive communication skills.
• Strong written and verbal communication for executive materials.
• Detail-oriented with focus on evidence, documentation, dashboards, and readiness artifacts.

Responsibilities

• Lead integrated planning and execution for the AI Governance Roadmap across phases.
• Coordinate delivery across AI governance, risk, security, privacy, data governance, and automation workstreams.
• Develop integrated roadmap, milestones, RAID log, and cadence.
• Drive stakeholder alignment with senior leaders and vendors; define scope and ownership.
• Facilitate working sessions, risk reviews, and decision forums to close items.
• Track roadmap risks, issues, decisions, dependencies, and action items with owners.
• Support AI lifecycle, intake, inventory, risk classification, testing, and governance operating model.
• Ensure governance deliverables include evidence, controls, audit-ready docs, and procedures.
• Prepare executive updates, steering materials, dashboards, and status reports.

Skills

Program management

Cross-functional leadership

AI governance concepts

Delivery discipline

Executive reporting

Regulatory/risk/privacy knowledge

Facilitation

Communication

Documentation

Stakeholder management

Education

Bachelor’s degree or equivalent

PMP/PgMP/PMI-ACP/CSM certifications preferred

Tools

Jira

Clarity

ServiceNow

Power BI

Microsoft Office

Teams

SharePoint

Job description

Description

AI Program Manager, Enterprise AI Governance Roadmap

We are seeking an AI Program Manager to lead coordinated execution of the enterprise AI Governance Roadmap. This role will project manage the bodies of work required to establish an authoritative AI policy and procedure framework, clarify ownership and decision rights, mature intake and inventory practices, and operationalize repeatable governance, risk, security, privacy, data, automation, and assurance capabilities across the organization.

The AI Program Manager will serve as the central delivery leader for cross-functional AI roadmap execution, partnering with the AI Council, business stakeholders, Technology, Information Security, Risk, Compliance, Privacy, Data Governance, Operations, Legal, Third Party Risk Management, and external vendors. The ideal candidate brings strong program management discipline, executive communication skills, practical AI governance awareness, and the ability to drive clarity, accountability, evidence, and momentum across complex stakeholder groups.

Primary Responsibilities

• Lead integrated program planning and execution for the AI Governance Roadmap across foundation, operationalization, automation, and assurance phases.
• Coordinate delivery across AI Program & Governance, Risk & Compliance, Information Security, Privacy & Data Protection, Enterprise Data Governance, and Automation & Assurance workstreams.
• Build and maintain the integrated roadmap, milestones, dependency map, workstream plans, governance calendar, and delivery cadence.
• Drive stakeholder alignment across senior leaders, control partners, technology teams, business owners, and vendors to define scope, decision rights, ownership, review paths, and evidence expectations.
• Facilitate working sessions, AI Council inputs, decision forums, risk reviews, and delivery checkpoints to move open items to closure.
• Track and manage roadmap risks, issues, decisions, dependencies, assumptions, escalations, and action items with clear ownership and due dates.
• Support development and implementation of AI lifecycle, intake, inventory, risk classification, testing, monitoring, incident response, reassessment, training, and governance operating model capabilities.
• Partner with control functions to ensure governance deliverables include reviewable evidence, measurable controls, audit-ready documentation, and repeatable operating procedures.
• Prepare executive-ready program updates, steering materials, roadmap dashboards, decision memos, and status reporting for leadership and governance forums.

Key Deliverables

• Integrated AI Governance Roadmap plan, including milestones through 2027.
• Workstream plans and delivery trackers for AI governance, risk and compliance, information security, privacy, data governance, automation, and assurance.
• Master RAID log covering risks, actions, issues, decisions, dependencies, assumptions, escalations, owners, and due dates.
• Governance forum materials, including AI Council agendas, meeting notes, action trackers, decision logs, and leadership readouts.
• AI intake, inventory, review path, risk classification, testing, monitoring, reassessment, incident, training, and evidence execution plans.
• Operating model documentation that clarifies ownership, decision rights, accountabilities, handoffs, and ongoing BAU responsibilities.
• Executive dashboards and concise status reporting that communicate progress, risks, dependencies, decisions needed, and upcoming milestones.
• Assurance-readiness documentation, including evidence expectations, attestations, control execution artifacts, and readiness checklists.

Required Skills & Experience

• 7–10 years of program management, project management, transformation, governance, risk, compliance, technology delivery, or operations experience; financial services preferred.
• Demonstrated ability to lead complex, cross-functional programs with multiple workstreams, dependencies, control partners, and executive stakeholders.
• Working knowledge of AI governance concepts, including AI lifecycle management, risk classification, responsible AI, model risk, third‑party risk, data governance, testing, monitoring, and audit evidence.
• Strong delivery discipline, including roadmap planning, milestone management, RAID tracking, dependency management, governance routines, and executive reporting.
• Ability to translate regulatory, risk, security, privacy, data, technology, and business requirements into actionable plans and accountable ownership models.
• Excellent facilitation skills with the ability to drive clarity, resolve ambiguity, document decisions, and maintain momentum across senior and technical audiences.
• Strong written and verbal communication, including the ability to create concise executive materials and explain complex AI governance topics in practical business language.
• High attention to detail and comfort managing evidence, documentation, policies, procedures, standards, dashboards, and readiness artifacts.
• Proficiency with Microsoft Office, Teams, SharePoint, and project delivery tools; experience with Jira, Clarity, ServiceNow, Power BI, or similar platforms preferred.
• Bachelor’s degree or equivalent experience required; PMP, PgMP, PMI‑ACP, CSM, risk, compliance, data governance, or AI governance certifications preferred.

Success Measures

• Roadmap milestones are delivered on time with clear scope, ownership, dependencies, and governance routines.
• AI governance deliverables establish clear requirements, accountable ownership, consistent operating procedures, and reviewable evidence.
• Stakeholders have timely visibility into progress, risks, issues, decisions, actions, and escalations.
• AI intake, inventory, review, testing, monitoring, reassessment, and incident processes become repeatable and operationally sustainable.
• Control partners can validate evidence, dashboards, attestations, and assurance‑readiness materials without significant rework.
• Executive materials clearly communicate what is complete, what is at risk, what decisions are needed, and what comes next.
• The AI operating model transitions from project delivery to measurable, scalable, and sustainable BAU execution.

Other Details

• Candidates should be comfortable operating in a hybrid environment and must be local to Northern Virginia.
• Engagement is expected to support roadmap execution through the foundation, operationalization, automation, and assurance phases.
• Role will work across multiple stakeholder groups and governance forums, with frequent interaction with senior leaders and control partners.
• Prior financial services, credit union, regulatory, audit, risk management, or technology governance experience is strongly preferred.

Job Type & Location

This is a Contract to Hire position based out of Mc Lean, VA.

Pay and Benefits

The pay range for this position is $70.00 - $90.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Mc Lean,VA.

Application Deadline

This position is anticipated to close on Sep 18, 2026.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.