Company

SeniorBusinessSystemsAnalyst(AI/DataProducts)

₹22–35L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Problems you'll solve

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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