Senior Software Development Advisor - Business & Systems Analysis for AI/ML Solutions

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

NTT DATA Global Delivery Services Ltd. seeks a Software Development Advisor to drive AI/analytics initiatives and bridge business and technical teams in Bengaluru. You will translate complex processes into actionable requirements and partner with data scientists, engineers, QA, and product teams to deliver measurable outcomes.

The role emphasizes requirements elicitation, solution validation, and post-implementation support across cloud-enabled analytics projects in a fast-paced environment.

Qualifications

• 8+ years of experience as a Business Analyst or Systems Analyst in technology-driven environments.
• Strong understanding of AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms.
• Proven experience across the product development lifecycle (requirements, design, UAT, go-live, and post-implementation support).
• Ability to translate complex business processes into functional and technical requirements.
• Strong analytical mindset to research, interpret, and present insights to drive business solutions.
• Excellent communication and interpersonal skills, capable of working with stakeholders at all levels.
• Experience with data analysis, KPI definition, dashboarding, and turning analytical findings into business value.
• Familiarity with predictive modelling, AI use cases, automation opportunities, and workflow optimization.
• Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments.

Responsibilities

• Elicit, gather, and document business requirements for AI, analytics, and automation initiatives; translate into functional specs, user stories, and acceptance criteria.
• Serve as a bridge between business teams, AI/ML teams, product owners, and engineering; participate in solutioning workshops.
• Work with data scientists to translate challenges into AI/ML use cases; assist in model validation and KPI definition.
• Support solution design with process optimization, automation, and data transformation; produce user guides and training.
• Assist in project planning, tracking, documentation, and communications; support testing cycles including UAT and regression.
• Oversee post-implementation support including integrations, performance monitoring, and continuous improvements.

Skills

AI/ML concepts

Data analysis

Stakeholder management

Analytical mindset

Communication

Tools

JIRA/Confluence

Power BI

Tableau

Excel

SQL

Job description

Software Development Advisor

Mandatory Requirements

• 8+ years of experience working as a Business Analyst or Systems Analyst in technology-driven environments.
• Strong understanding of AI/ML concepts , data-driven decision-making, analytics workflows, and modern digital platforms.
• Proven experience working across the product development lifecycle (requirements, design, UAT, go‑live, and post‑implementation support).
• Ability to understand, analyze, and translate complex business processes into functional and technical requirements .
• Strong analytical mindset with the ability to research, interpret, and present insights to drive business solutions.
• Excellent communication and interpersonal skills , capable of working with stakeholders at all organizational levels.
• Experience with data analysis , KPI definition, dashboarding, and converting analytical findings into business value.
• Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization.
• Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments.

Responsibilities

Business Analysis & Requirements

• Business Analysis & Requirements Elicit, gather, and document business requirements for AI, analytics, and automation initiatives. Convert business needs into functional specifications, user stories, process flows , and acceptance criteria. Serve as the bridge between business teams, AI/ML teams, product owners, and engineering . Participate in solutioning workshops to align business needs with technical capabilities.

AI/ML & Data Solution Support

• Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes. Assist in model validation, data quality checks, feature inputs, and business interpretation of model results. Help define KPIs, measurement criteria, and success metrics for AI-driven processes. Support development of analytics dashboards, reporting frameworks, and decision-support tools.

Project Execution & Collaboration

• Support solution design activities including process optimization, automation, and data transformation. Perform data analysis, validation, mapping, and transformation for system inputs/outputs. Participate in and support all testing cycles including functional testing, UAT, and regression . Develop user guides, training materials, and conduct stakeholder training sessions . Assist in project planning, tracking activities, documentation preparation, and project communication.

Implementation & Post-Implementation Support

• integrations between AI systems, enterprise platforms, and third‑party applications. Monitor system performance, help troubleshoot issues, and recommend continuous improvements. Work with cross-functional teams to ensure smooth product rollouts and enhancements.

Key Skills

• Requirements analysis & documentation
• Process modelling (BPMN, flowcharts, user journeys)
• AI/ML concepts (basic understanding of models, data pipelines, automation logic)
• Data analysis & visualization (Excel, SQL, Power BI, Tableau)
• Agile methodologies, JIRA/Confluence
• Strong problem-solving and stakeholder management skills
• Ability to work independently and lead cross-functional discussions
• Optional / Good-to-Have Experience in RPA, intelligent automation, or conversational AI.
• Background in product-based or platform-based solution design.
• Exposure to cloud platforms (Azure, AWS, GCP).
• Certifications in Business Analysis (CBAP, CCBA), Product Ownership, or Agile.
• Experience Level Senior Level