Company
SeniorBusinessSystemsAnalyst(AI/DataProducts)
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“Senior Business Systems Analyst (AI / Data Products). Skills: AI, Data Products, Business Systems Analysis, Machine Learning. Lead discovery for AI/ML use cases. Lead requirements gathering for AI/ML use cases”
What You'll Achieve.
Improve decision-making; Scalable production-ready AI solutions; Scalable production-ready data solutions
Industry & Context.
Solve complex business problems
What They're Looking For.
Must Have
Bachelor's degree, 8+ years experience, experience working on data, analytics, and AI/ML initiatives, Working knowledge of machine learning concepts, Working knowledge of data pipelines, Working knowledge of APIs, Working knowledge of system integrations, Experience translating complex data-driven problems into business requirements, Experience translating complex data-driven problems into scalable solutions, stakeholder management skills, communication skills, facilitation skills, Experience working in Agile/Scrum environments, supporting product delivery lifecycles
Nice to Have
Master's degree, Familiarity with cloud platforms, Familiarity with Databricks, Familiarity with enterprise analytics tools, Exposure to Generative AI, Exposure to AI governance concepts
What You'll Do.
Lead discovery for AI/ML use cases
Lead requirements gathering for AI/ML use cases
Lead discovery for Generative AI use cases
Lead requirements gathering for Generative AI use cases
Translate business problems into functional specifications
Translate business problems into technical specifications
Translate business problems into user stories
Translate business problems into acceptance criteria
Translate business problems into data requirements
Define model inputs with data scientists
Define model outputs with data scientists
Define evaluation metrics with data scientists
Define expected business outcomes with data scientists
Analyze business processes
Document business processes
Analyze system integrations
Document system integrations
Facilitate stakeholder discussions
Facilitate design sessions
Define AI-enabled capabilities
Refine AI-enabled capabilities
Ensure traceability of requirements
Support model validation
Support user acceptance testing
Support adoption of AI solutions
Ensure compliance with data quality standards
Ensure compliance with data privacy standards
Ensure compliance with responsible AI standards
Identify opportunities for process optimization
Identify opportunities for automation
How You'll Work.
Team & Collaboration
Data science teams; AI engineering teams; Business teams; Data stewards; Governance teams
Communication Scope
Stakeholder communication; Technical communication; Non-technical communication
Process & Methodology
Agile, Scrum
Full 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 equi
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