Technical Project Manager

Motion Recruitment; Irving (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Motion Recruitment is seeking a seasoned Technical Project Manager to lead AI/ML initiatives within financial services. You will drive governance, ethics, and compliance across projects, while guiding diverse teams of data scientists, ML engineers, and software developers to successful, on-time delivery.

You will coordinate with legal, risk, and architecture groups, report to executives, and champion responsible AI practices. A growth mindset and strong communication are essential for success.

Qualifications

• Bachelor’s or Master’s degree required.
• 7+ years of experience in technical project management, with at least 3 years managing AI/ML projects.
• Strong blend of project management, technical understanding, and exceptional communication skills.
• Deep understanding of AI governance frameworks, ethics, and regulatory compliance for financial services.
• Experience in Agile environments and Scrum Master duties.
• Proven ability to plan, track, and deliver complex technical projects on time and within budget.
• Ability to communicate complex concepts to senior leadership and diverse stakeholders.
• Capability to coordinate with technical, business, legal, and compliance teams to secure approvals.
• Strong technical aptitude and ability to discuss architectural decisions with engineering teams.
• Excellent problem-solving, negotiation, and conflict resolution skills.
• Growth mindset with a drive to learn and improve continuously.

Responsibilities

• Project Leadership & Management: Lead multiple technical AI projects, defining scope, goals, deliverables, and resources.
• AI Governance & Responsible AI Compliance: Integrate governance and ethical principles throughout the project lifecycle.
• Documentation & Approval Management: Create and maintain necessary documentation to secure approvals.
• Planning, Execution & Delivery: Develop plans, track milestones, manage risks, and ensure delivery.
• Agile and Scrum Master Responsibilities: Facilitate ceremonies, remove impediments, and foster collaboration.
• Technical Team Communication: Translate business requirements into technical tasks for data scientists, ML engineers, and software developers.
• Stakeholder Communication & Reporting: Provide status updates and executive summaries to leadership.
• Conflict Resolution: Address impediments and interpersonal issues to maintain momentum.
• Accountability & Commitment: Maintain accountability for outcomes and align with business objectives.
• Forward Thinking & Driving Priorities: Identify opportunities for improvement and drive strategic AI priorities.
• Provide technical leadership and mentorship to global development teams.
• Review system designs to ensure alignment with enterprise architecture and standards.
• Collaborate with risk, technology leadership to define strategic tech solutions.
• Assess technology risks and ensure compliance with policies and regulations.
• Support production stability, performance, and platform modernization initiatives.

Skills

Technical project management

AI/ML project experience

Agile / Scrum Master

Communication skills

Stakeholder management

Regulatory compliance

AI governance

Problem solving

Growth mindset

Mentorship

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field

Job description

• Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
• 7+ years of experience in technical project management, with a minimum of 3 years managing AI/ML projects.
• Requires a blend of strong project management acumen, technical understanding, exceptional communication skills, and the ability to navigate complex organizational structures to drive successful, ethical, and compliant AI solutions.
• Thorough understanding and proven experience with AI governance frameworks, ethical AI principles, and regulatory compliance specific to the financial services industry.
• Strong experience working in Agile environments, including serving as a Scrum Master.
• Demonstrated ability to plan, track, and deliver complex technical projects on time and within budget.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts and project statuses to diverse audiences, including senior leadership.
• Proven ability to coordinate and communicate with various stakeholders (technical, business, legal, compliance) to achieve project objectives and secure approvals.
• Strong technical aptitude, capable of conversing effectively with technical teams and understanding architectural decisions and challenges.
• Exceptional problem-solving, conflict resolution, and negotiation skills.
• Highly accountable, committed, and possesses a growth mindset, continuously seeking to learn and improve.

What You Will Be Doing

• Project Leadership & Management: Lead and manage multiple technical AI projects, ensuring they are delivered on time, within scope, and within budget. This includes defining project scope, goals, deliverables, and resource requirements.
• AI Governance & Responsible AI Compliance: Drive the integration of AI governance and Responsible AI principles throughout the project lifecycle. Ensure all AI development adheres to established ethical guidelines, regulatory requirements, and internal policies, especially relevant to financial firms.
• Documentation & Approval Management: Coordinate the creation and maintenance of necessary supporting documentation for AI projects, facilitating communication and collaboration to secure all required internal and external approvals (e.g., legal, compliance, risk, architecture).
• Planning, Execution & Delivery: Develop comprehensive project plans, track project progress against milestones, manage risks and dependencies, and ensure successful execution and delivery of AI solutions.
• Agile and Scrum Master Responsibilities: Work effectively within an Agile development environment, acting as a Scrum Master when needed. Facilitate sprint planning, daily stand-ups, reviews, and retrospectives, removing impediments and fostering a collaborative team environment.
• Technical Team Communication: Serve as the primary liaison between business stakeholders and technical development teams (data scientists, ML engineers, software developers), translating business requirements into technical tasks and ensuring mutual understanding.
• Stakeholder Communication & Reporting: Provide clear, concise, and timely status updates, executive summaries, and recommendations to senior leadership, project sponsors, and other key stakeholders. Tailor communication to different audiences, highlighting critical information and potential impacts.
• Conflict Resolution: Proactively identify, address, and resolve project conflicts, impediments, and interpersonal issues, ensuring project momentum and maintaining positive team dynamics.
• Accountability & Commitment: Demonstrate a high level of accountability for project outcomes and a strong commitment to achieving business objectives while upholding responsible AI principles.
• Forward Thinking & Driving Priorities: Exhibit a growth mindset by continuously seeking opportunities for improvement, anticipating future challenges, and actively driving strategic priorities within the AI landscape.
• ractices.
• Provide technical leadership and mentorship to development teams globally.
• Review system designs and code to ensure alignment with enterprise architecture and engineering standards.
• Collaborate with business stakeholders, risk partners, and technology leadership to define strategic technology solutions.
• Assess technology risks, identify control gaps, and ensure compliance with enterprise technology policies and regulatory expectations.
• Support production stability, performance optimization, and platform modernization initiatives.