Job Description

Travel Requirements:
This position requires approximately 10%–20% travel, primarily for key stakeholder meetings, leadership sessions, and strategic planning activities.

Leadership: Manages and provides leadership to predominantly exempt professional staff, including business systems analysts, solution leads/product owners, pipeline management, and data science teams. May indirectly oversee managers or team leads across multiple delivery functions.

EXPERIENCE AND SKILLS

• 5+ years of progressive leadership experience in data, analytics, AI, technology delivery, or related disciplines, including senior‑level management responsibility.
• Demonstrated experience leading end‑to‑end delivery of complex, enterprise‑scale data and AI initiatives from ideation through production and scale.
• Strong understanding of data and AI governance, model risk management, and value realization practices in regulated or complex enterprise environments.
• Proven ability to build and manage high‑performing, multidisciplinary teams across product management, data science, analytics, and delivery functions.
• Exceptional stakeholder management skills, with experience establishing SLAs, executive communication frameworks, and trusted business partnerships.
• Experience collaborating closely with platform, architecture, and engineering teams to drive scalable and reusable solutions.

• Provides strategic leadership for the enterprise data and AI delivery portfolio, overseeing intake, prioritization, triage, proof‑of‑concept development, solution build, and scale‑out of data and AI use cases.
• Establishes and governs a standardized delivery lifecycle, ensuring all initiatives meet requirements for business case development, value definition, risk assessment, and regulatory, data, and model governance prior to advancement.
• Leads cross‑functional teams including business systems analysts, solution leads/product owners, pipeline management, and data scientists to deliver complex, high‑impact data and AI solutions on time and within scope.
• Partners closely with the Data & AI Platform team to translate delivery needs into platform requirements, ensuring reusable capabilities, scalable architectures, and efficient enablement of multiple products and use cases.
• Oversees development, management, and ongoing monitoring of business cases, ensuring value realization is tracked, reported, and optimized from proof‑of‑concept through production and scale.
• Establishes strong customer and stakeholder relationships, serving as a senior point of accountability for delivery outcomes, service‑level agreements (SLAs), communication, and issue resolution.
• Ensures effective model and value monitoring practices are in place, including performance, drift, bias, risk, and realized business benefits across deployed AI solutions.
• Sets vision, priorities, and resource allocation for the Data & AI Delivery organization, making complex decisions with significant organizational, financial, and operational impact.
• Develops talent and succession plans by providing coaching, mentorship, and performance management to build a high‑performing, engaged, and future‑ready delivery organization.

The rate of pay for this position will depend on the successful candidate’s work location and qualifications, including relevant education, work experience, skills, and competencies. Rate: $XX - $XX

Non-Bonus Eligible Positions: include language below.

Benefit Overview: This position offers a comprehensive benefits package including medical, dental, and vision insurance, a 401(k) with company match, paid time off, parental leave.

Bonus Eligible Positions – include language below.

Benefit Overview: This position offers a comprehensive benefits package including medical, dental, and vision insurance, a 401(k) with company match, paid time off, parental leave and potential for performance-based bonuses depending on company and individual performance

Fresenius Medical Care is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sexual orientation, gender identity, parental status, national origin, age, disability, military service, or other non-merit-based factors