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

AI‑Driven 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

• Bachelor’s or Master’s 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)