Senior Manager Delivery Applied AI

Description

The Senior Manager – Delivery – Applied AI serves as the single point of accountability for the execution, delivery, and operational success of enterprise AI solutions within the NMDP technology portfolio. This highly technical leadership role is responsible for leading multidisciplinary AI engineering teams that design, build, deploy, integrate, and support production AI, machine learning, generative AI, and agentic AI solutions that create measurable business value.

The ideal candidate combines deep AI engineering expertise with exceptional execution and delivery leadership. This individual will lead AI engineering organization, establish engineering best practices, drive end-to-end AI solution delivery, and partner closely with the Senior Director of AI to scale the organization's AI capabilities.

This role is responsible for ensuring AI initiatives move from concept to production with speed, quality, and operational excellence while building and developing a high-performing, multidisciplinary AI team.

Accountabilities

(The primary functions, scope, and responsibilities of the role)

Technical Leadership & AI Delivery

• Lead the end-to-end execution of enterprise AI initiatives from ideation through production deployment and operational support.


• Drive the delivery of AI, machine learning, generative AI, and agentic AI solutions that create measurable business value.


• Provide strong technical leadership, engineering excellence and architectural alignment across AI engineering initiatives.


• Establish and continually improve a compliant AI Development Lifecycle (AIDLC), spanning experimentation, model development, evaluation, deployment, MLOps, monitoring, governance, and ongoing optimization.


• Ensure engineering excellence through code quality, responsible AI practices, security, scalability, observability, testing, and operational readiness.


• Partner closely with Enterprise Architecture, Software Engineering, IT Operations, Cloud Engineering, Data Engineering, Security, other technology teams and Quality and Regulatory Affairs (QRA) to successfully integrate AI capabilities into enterprise platforms and applications.


• Collaborate with Product Management, business stakeholders, and functional leaders to translate business priorities into scalable AI solutions and deliver measurable outcomes.


• Remove delivery roadblocks, proactively manage risks, and ensure predictable execution across multiple concurrent AI initiatives.

Leadership & People Management

• Builds a culture of technical excellence, accountability, collaboration, innovation, knowledge sharing, continuous learning, quality, engagement, and operational ownership.


• Provides leadership and oversight for internal staff and contract resources, including performance calibration, development planning, and corrective action in partnership with HR and IT leadership.


• Communicates status, risks, dependencies, and forward-looking needs to IT leadership, the Senior Director of AI, business partners, and other executive stakeholders.


• Lead, mentor, and develop a multidisciplinary AI organization consisting of AI engineers, machine learning engineers, MLOps engineers, AI platform engineers, and other AI technical specialists.


• Manage team capacity, sprint execution, prioritization, staffing, and resource allocation across AI initiatives.


• Recruit, hire, onboard, and retain top AI talent as the organization grows.


• Establish clear career development paths, coaching plans, performance expectations, and technical growth opportunities for team members.


• Foster collaboration across engineering disciplines and promote knowledge sharing and engineering best practices.


• Establishes and executes talent strategies, including hiring, onboarding, coaching, career development, performance expectations, succession planning, and retention of top AI talent.

Operational Excellence

• Own engineering execution metrics including delivery predictability, quality, velocity, operational stability, and production reliability.


• Drive continuous improvement across engineering practices, including but not limited to Agentic Coding, Evals, MLOps, AI platform capabilities, and emerging modern engineering practices.


• Standardize engineering processes, reusable frameworks, documentation, and delivery methodologies.


• Ensure compliance with enterprise security, privacy, responsible AI, and governance standards.

Strategic Partnership

• Serve as the primary execution partner to the Senior Director of AI.


• Translate strategic priorities into executable engineering roadmaps, delivery plans, and staffing strategies.


• Coordinate execution across AI, technology, product, and business organizations to ensure successful delivery of enterprise AI initiatives.


• Help mature and scale the AI organization through improved engineering processes, organizational design, delivery governance, and operational excellence.

Skills

Machine learning, Bachelors degree, software engineering, AIDLC, Cloud Native, AI/ML leadership, Artificial intelligence, Aws

Top Skills Details

Machine learning, AI, Applied AI, Software Engineering, Management, Leadership

Additional Skills & Qualifications

prefer healthcare bckgrnd

Experience Level

Sr Level

Job Type & Location

This is a Permanent position based out of Minneapolis, MN.

Pay and Benefits

The pay range for this position is $ - $ /yr.

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.

Workplace Type

This is a hybrid position in Minneapolis,MN.

Application Deadline

This position is anticipated to close on Aug 31, 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.