Senior Business Systems Analyst (AI / Data Products)

CH01 CHE Fresenius Medical Care (Schweiz) AG; India; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

CH01 CHE Fresenius Medical Care (Schweiz) AG is seeking a Senior Business Systems Analyst focused on AI and data products. You will drive business analysis for AI/ data-enabled solutions across enterprise workflows, translating complex requirements into scalable technical specs and production-ready solutions.

You will partner with data science and AI engineering teams to define inputs, evaluation metrics, and business outcomes, while ensuring alignment with data governance and enterprise

Qualifications

• 8–12 years of related experience; or 6+ years with a Master’s degree.
• Experience in data, analytics, and AI/ML initiatives in enterprise environments.
• Strong stakeholder management and communication across technical and non-technical audiences.

Responsibilities

• Lead discovery and requirements gathering for AI/ML and Generative AI use cases.
• Translate business problems into functional and technical specifications, including user stories and data requirements.
• Partner with data scientists and AI engineers to define model inputs, outputs, and evaluation metrics.
• Analyze processes, data flows, and system integrations to support AI-driven solutions.
• Facilitate workshops and design sessions to define AI-enabled capabilities.
• Ensure traceability of requirements across the solution lifecycle and support UAT.
• Collaborate with data governance teams to ensure data quality, privacy, and responsible AI standards.
• Identify opportunities for process optimization and automation using AI and analytics.

Skills

AI/ML initiatives

Data pipelines

System integrations

Stakeholder management

Agile/Scrum

Cloud platforms

Generative AI

Data governance

Machine learning concepts

Education

Bachelor's degree in Information Systems/CS/Business

Master's degree preferred (MBA/Data Analytics)

Tools

Databricks

APIs

AWS

Azure

Job description

Senior Business Systems Analyst (AI / Data Products) – Job Description **PURPOSE AND SCOPE**Plan and drive business analysis activities that enable AI, data, and analytics solutions to solve complex business problems and improve decision-making.Partner with data science, AI engineering, and business teams to translate business needs into scalable, production-ready AI and data solutions embedded in enterprise applications and workflows.Ensure alignment of requirements with enterprise architecture, data governance, and responsible AI principles. **PRINCIPAL DUTIES AND RESPONSIBILITIES**Leads discovery and requirements gathering for AI/ML and Generative AI use cases aligned with business priorities.Translates business problems into detailed functional and technical specifications, including user stories, acceptance criteria, and data requirements.Partners with data scientists and AI/ML engineers to define model inputs, outputs, evaluation metrics, and expected business outcomes.Analyzes and documents business processes, system integrations, and data flows to support AI-driven solutions.Facilitates workshops, stakeholder discussions, and design sessions to define and refine AI-enabled capabilities.Ensures traceability of requirements across the solution lifecycle, including development, testing, and deployment.Supports model validation, user acceptance testing (UAT), and adoption of AI solutions in business workflows.Collaborates with data stewards and governance teams to ensure compliance with data quality, privacy, and responsible AI standards.Identifies opportunities for process optimization and automation leveraging AI and advanced analytics. **EDUCATION**Bachelor’s degree in Information Systems, Computer Science, Business Administration, or related field required.Master’s degree (MBA, Data Analytics, or related field) preferred. **EXPERIENCE AND REQUIRED SKILLS**8 – 12 years’ related experience; or a Master’s degree with 6+ years’ experience; or equivalent directly related work experience.Strong experience working on data, analytics, and AI/ML initiatives in enterprise environments.Working knowledge of machine learning concepts, data pipelines, APIs, and system integrations.Experience translating complex data-driven problems into business requirements and scalable solutions.Strong stakeholder management, communication, and facilitation skills across technical and non-technical audiences.Experience working in Agile/Scrum environments and supporting product delivery lifecycles.Familiarity with cloud platforms (AWS, Azure), Databricks, and enterprise analytics tools preferred.Exposure to Generative AI (LLMs, copilots, prompt-based applications) and AI governance concepts preferred.