Senior AI Project Manager jobs in United States
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Akkodis · 1 month ago

Senior AI Project Manager

Akkodis is a company specializing in connecting clients with top talent across North America. They are seeking a Senior AI Project Manager to define project scopes, lead cross-functional teams, and manage AI initiatives from ideation to deployment while ensuring alignment with business goals.

Information Technology & Services
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H1B Sponsor Likelynote
Hiring Manager
Shubhada M.
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Responsibilities

Define project scope, objectives, timelines, and resource allocation strategies for AI initiatives from ideation to deployment and monitoring
Assemble, lead, and coordinate cross-functional teams comprising data scientists, data engineers, ML engineers, and business analysts, fostering a collaborative environment
Act as the primary liaison, translating complex AI concepts into clear business insights and managing expectations across all stakeholders to ensure alignment and buy-in
Proactively identify, assess, and mitigate project risks, particularly those related to data quality, model bias, ethical considerations, privacy concerns, and security. Escalates any critical risks / issues to the Project Sponsor or Steering Committee
Work closely with data teams to ensure data quality, governance, and security are maintained throughout the model development lifecycle, including training, evaluation, and deployment
Manages the project tightly to the six constraints of scope, schedule, cost, risk, resource and quality
Ensures consistent and diligent use of applicable project methodology, tools, templates, repositories, and portfolio/project management tools by all project team members
Ensures the timely and accurate completion of business and technical project deliverables
Creates and maintains a detailed project schedule to include tasks, durations, resources assignments, percentage complete, and start / end dates, etc
Conducts project meetings; documents and distributes meetings agendas and meeting minutes, tracks accomplishments, key milestones, decisions, risk/issues
Documents and distributes weekly project status reports to key stakeholders, project sponsors and project team members
Prepares Gate Approval Requests at each gate transition for review & approval by Project Sponsor and Steering Committee
Prepares Change Requests to record changes in scope, schedule and budget for review & approval by Project Sponsor and Steering Committee

Qualification

AI/Machine Learning lifecycleFinancial Services industryProject management conceptsAgile methodologiesCloud platformsData quality managementAnalytical thinkingCommunication skillsTeam leadershipProblem solvingTime management

Required

Strong acumen in business processes in multiple functional areas in an organization in the Financial Services industry
Strong familiarity with project management concepts, interactions between knowledge areas and process groups, and inputs / tools and techniques / outputs in each knowledge area that explain how to approach project management and implement solutions
Strong knowledge of tools / technology for office productivity, project management, portfolio management and communications
Mastery of project planning, scope, time, cost, quality, resource, communication, risk, and stakeholder management. Able to handle complex, large-scale projects and may mentor other PMs
Understanding the AI/Machine Learning lifecycle, data pipelines, model development (training, testing, evaluation), and deployment (MLOps). Familiarity with cloud platforms (AWS, Azure, Google Cloud) and relevant tools (TensorFlow, PyTorch, Git, Jira) is valuable
Knowledge of how data is sourced, cleaned, labeled, and managed. This includes understanding data quality issues, bias in algorithms, and data privacy regulations (like GDPR)
The ability to translate business needs into technical requirements and vice versa. This ensures AI solutions align with strategic business goals and deliver measurable value (ROI analysis)
Knowledge of responsible AI practices, potential biases, and legal guidelines to ensure solutions are fair and compliant with industry standards
Strong analytical thinking / problem solving and decision-making skills
Highly matured behavioral characteristics such as ethics, accountability, trustworthiness, organization / time management and flexibility / adaptability
Strong communication skills and interpersonal / interaction skills
Strong ability to build / lead teams, resolve conflicts and mentor / motivate team members
7+ years of experience as a project or program manager, with hands-on exposure to AI/ML or data-driven projects, are essential for this role. Requires low level of supervision
Proficiency in Agile, Scrum, or hybrid methodologies that allow for flexibility and continuous iteration in AI development environments
Expertise in traditional PM tools (Jira, Confluence) and leveraging AI-powered tools for automation, planning, risk assessment, and reporting

Preferred

Experience in a financial service or highly-regulated environment is a plus

Benefits

Medical
Dental
Vision
Term life insurance
Short-term disability insurance
Additional voluntary benefits
Commuter benefits
401K plan
Paid Sick Leave
Holiday pay

Company

Akkodis provides digital engineering solutions for sustainable and innovative industries.

H1B Sponsorship

Akkodis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (141)
2024 (121)
2023 (67)

Funding

Current Stage
Late Stage

Leadership Team

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Lane Greever
Chief Operating Officer (COO), Americas
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Kishore Raj
Vice President & Partner: Technology and Engineering Consulting and Services
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Company data provided by crunchbase