Information Technology

Senior Manager - Data & AI Solution Management

Address: Bengaluru, Bengaluru, Karnātaka, 560066, India

Job ID: R0258868

Location Type: Hybrid

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  • Overview
  • Job Description
  • Success Profile
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As a Clinic Manager at Fresenius Medical Care, you’ll manage the daily operations of our outpatient centers. More importantly, you’ll be the key driver in carrying out our mission: To deliver superior care that improves the quality of life of every patient, every day, setting the standard by which others in the health care industry are judged. This is accomplished by hiring, developing and inspiring a multi-disciplinary team, collaborating with physicians, tracking and delivering superior patient outcomes and monitoring regulatory and safety requirements. Strong management skills are required and prior direct patient care experience is needed for occasions when the team needs a helping hand.

A female nurse examining her patient

Patient Care Technicians (PCTs) at Fresenius Medical Care support and collaborate with RNs to provide dialysis treatment to several patients at a time while maintaining the functionality of the clinic. This involves prepping and testing equipment, reviewing treatment sheets, and opening the clinic at 4am for first shift. PCTs have a combination of technical skills and genuine passion needed to develop deep relationships with patients and improve their quality of life. Qualified candidates have prior customer service, healthcare and direct patient care experience, and will have the opportunity to learn the discipline of dialysis.

A female nurse examining her patient

Fresenius Medical Care nurses are on the front line of patient care, improving the quality of life of every patient, every day. That means providing dialysis care to 10-12 patients at any given time, and collaborating with our multi-disciplinary team to deliver a unique care plan to each one of them. This role is all about relationships and the bond you’ll create with patients and their families. Prior dialysis nursing experience is helpful, but many successful candidates come from a background in ICU, PCU and/or surgery.

A female nurse examining her patient

Inpatient RNs at Fresenius Medical Care perform dialysis treatments on an acute patient population in a hospital setting, including ICU, ER, Rehab, and Med/Surg units. What makes this role truly unique is the level of autonomy you’ll enjoy. Inpatient nurses are specifically accountable for administering and assessing each patient’s treatment plan. And because dialysis is a critical treatment for many hospital procedures and health conditions, you’ll have the opportunity to work with a wide variety of patients. Ideal candidates possess leadership skills and independence needed to make quick decisions in a fast-paced environment. Must be capable of educating patients and providing exceptional customer service to our partners. Six months to one year of dialysis experience or some form of critical care nursing experience are also required.

A female nurse examining her patient

Job Description

Sr. Manager – Data & AI Solution Management

Role Overview

The Sr. Manager – Data & AI Solution Management is a people leadership and execution role responsible for building, leading, and scaling a high-performing multidisciplinary data and AI COE in Global Business Services. This role oversees end-to-end service delivery and maintenance of enterprise data, analytics, AI/ML, and Generative AI solutions, ensuring alignment with business priorities, governance standards, and modern cloud architectures.

The position manages a team of senior professionals across analytics, engineering, AI, governance, and service management, driving service delivery while ensuring operational excellence, scalability, and responsible AI practices across AWS and Azure ecosystems.

Key Responsibilities

1. Strategic Leadership & Delivery

  • Define and execute the enterprise Data & AI strategy, aligned with business goals and digital transformation initiatives.
  • Lead the design and delivery of end-to-end data, analytics, ML, and GenAI solutions, ensuring business value realization.
  • Establish scalable frameworks for AI/ML, data platforms, analytics, and governance across the organization.
  • Drive adoption of modern data architecture patterns including cloud-native, multi-cloud, and hybrid ecosystems.

2. Team Leadership & Talent Development

  • Lead, mentor, and develop a team of a medium group senior professionals across data, AI, engineering, and analytics domains.
  • Build a high-performance culture focused on innovation, accountability, and continuous improvement.
  • Define career paths, skill development, and succession planning for all roles.
  • Foster cross-functional collaboration between business, engineering, and analytics teams.

3. Data & AI Solution Delivery Oversight

  • Oversee delivery of solutions:
    • Data engineering pipelines and platforms (Databricks, Snowflake, AWS, Azure)
    • Data modeling and architecture frameworks
    • Advanced analytics and BI solutions
    • Machine Learning and Generative AI solutions (LLMs, RAG, copilots)
  • Ensure integration of solutions into enterprise systems and workflows.
  • Drive Agile delivery models and ensure timely, high-quality releases.

4. AI, ML & GenAI Enablement

  • Establish scalable practices for:
    • Machine Learning lifecycle (MLOps)
    • Generative AI solution design (prompt engineering, RAG architectures)
    • AI evaluation, monitoring, and optimization
  • Ensure AI initiatives are:
    • Business-driven
    • Measurable
    • Production-ready
  • Partner with teams to embed AI capabilities into enterprise applications.

5. Data Governance, Quality & Compliance

  • Ensure robust implementation of:
    • Data governance frameworks (metadata, lineage, cataloging)
    • Data quality and monitoring standards
    • Security, privacy, and regulatory compliance controls
  • Promote trusted, governed, and high-quality data assets across the organization.
  • Enable responsible AI practices including explainability, fairness, and compliance.

6. Stakeholder Engagement & Business Alignment

  • Act as a trusted advisor to business and technology leaders.
  • Translate complex business needs into scalable data and AI solutions.
  • Drive adoption and value realization of delivered solutions.
  • Lead executive reporting on program progress, outcomes, and KPIs.

7. Platform, Architecture & Technology Oversight

  • Govern enterprise data and AI platforms including:
    • Databricks, Snowflake
    • AWS and Azure data services
    • SageMaker, Amazon Bedrock, Azure OpenAI
  • Ensure solutions are:
    • Scalable, secure, and cost-efficient
    • Designed for performance and reliability
  • Drive standardization, automation, and DevOps/CI-CD practices.

8. Service Management & Operational Excellence

  • Partner with the DAIS Sr. Service Manager to ensure:
    • Stable operations of data and AI platforms
    • SLA adherence and incident management
    • Continuous improvement and monitoring frameworks
  • Implement metrics-driven service management practices.

Required Skills & Experience

Leadership & Functional Expertise

  • 12–15+ years of experience in data, analytics, AI/ML, or engineering roles, with at least 5+ years in leadership positions.
  • Proven experience managing cross-functional teams across data, analytics, and AI domains.
  • Strong understanding of:
    • Data engineering, modeling, and analytics
    • Machine learning and MLOps
    • Generative AI (LLMs, RAG, copilots)
    • Data governance and compliance frameworks

Technical Expertise

  • Hands-on knowledge of:
    • Cloud platforms: AWS and/or Azure
    • Data platforms: Databricks, Snowflake
    • AI/ML platforms: SageMaker, Azure ML, Bedrock
  • Familiarity with:
    • Data pipelines, ETL/ELT, and streaming architectures
    • Data modeling techniques (dimensional, relational, etc.)
    • AI/ML lifecycle, model evaluation, and deployment
    • Governance tools, metadata, and lineage frameworks

Business & Stakeholder Skills

  • Strong ability to translate business problems into technical solutions.
  • Excellent communication and executive presentation skills.
  • Proven ability to influence senior stakeholders and drive transformation.
  • Experience working in Agile and product-driven environments.

Education

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
  • Master’s degree (MBA, Data Science, Analytics, or similar) preferred.

Success Profile

What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.

Success profile proportion

Success Profile

What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.

Success profile proportion

Success Profile

What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.

Success profile proportion

Success Profile

What makes a successful member of our team? Check out the top traits we are looking for and see if you have the right mix.

Success profile proportion
“I successfully completed the RN program and went on to hold the position of Staff RN, Charge Nurse, and finally Clinical Manager.”
Rosalyn,
Clinical Manager
“Every day I walk in I am changing lives for the better and working to inspire my patients.”
Andrew,
Patient Care Technician
“I am a member of an outstanding team that helps patients gain more control, achieve tangible goals, and live better lives.”
Tony,
Outpatient Services RN
“My goal is to make sure that our patients keep their mobility and quality of life. This goal is really personal for me. My own father always had really bad vasculature in his leg and never had access to the kind of care we offer — eventually he lost blood flow and mobility. Knowing what he went through makes me even more committed to our mission.”
Warren J.
Azura Regional Vice President

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We fully believe that dedication and passion should be recognized and rewarded. That’s why we offer a competitive compensation and benefits package to all of our employees. Our benefits provide the flexibility, choice and support you need to be at your best as you play a vital part in helping patients live longer, better and healthier lives.

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