Program Manager Data Integration

Job Summary

Job Requirements

Business & Functional Partnership

• Partner with business stakeholders to understand requirements challenges and operational workflows
• Translate business needs into clear functional and technical specifications (BRDs use cases process flows)
• Provide consultative guidance on automation opportunities and scalable solution design

AIDriven Solution Design (Prompt Engineering & Automation)

• Leverage AI tools (e.g. Copilot AI agents) to design and optimise code workflows and data solutions
• Develop structured high-quality prompts to generate accurate outputs (SQL queries scripts automation logic insights)
• Continuously review and refine AI-generated outputs for performance accuracy and reusability
• Build and operationalise AI-driven automation workflows aligned with business needs

Python & Advanced Analytics

• Use Python for data preparation automation and advanced analytics
• Perform exploratory data analysis (EDA) feature engineering and data transformations
• Develop reusable Python scripts/notebooks for analytics workflows
• Integrate Python outputs into Power BI and reporting layers.

Agentic AI & Copilot-Based Development

• Design and develop no-code/low-code AI agents using platforms such as Microsoft Copilot Studio Power Platform and other enterprise AI tools.
• Build multi-step task-oriented agents capable of:
• Answering business queries
• Triggering workflows
• Analysing structured data (SQL / BI datasets)
• Integrating with enterprise systems
• Configure intent-based and goal-driven agents without traditional ML coding

Stakeholder Engagement & Ownership

• Collaborate with business leaders to deliver data-driven solutions
• Own end-to-end solution lifecycle: requirement gathering development deployment adoption
• Document solutions data definitions and business logic clearly

Must-Have

• Power BI: Strong expertise in DAX data modelling and performance tuning
• SQL: Advanced proficiency across analytical and transactional databases
• Python: Hands-on experience in data analysis automation and ML workflows
• Data Modelling: Strong knowledge of star schema KPIs and dimensional modelling
• AI/ML Fundamentals: Understanding of regression classification forecasting and model evaluation
• Strong business acumen with the ability to translate data into actionable insights

Nice-to-Have

• Experience with cloud data platforms (Snowflake Azure Synapse BigQuery Redshift)
• Familiarity with Power Automate Microsoft Fabric or Azure AI services
• Experience building self-service analytics platforms
• Knowledge of data governance security and role-based access
• Exposure to Copilot chatbots or conversational analytics

Education

• Bachelors or Masters degree in Computer Science Engineering Statistics Data Science or related field
• Typically requires a minimum of 7- 13 years of related experience. Flexible based on proficiency
• Shift Timings will be : 2:00 PM to 11:00 PM (IST)