Senior Manager- Data Analytics Job in Sbi Funds Management Ltd. (sbifml)

Job Title: Senior Manager Data Analytics

Department: PDM Strategy & International Business

Base Location: Mumbai

Reporting To: Head Strategy & Analytics / Senior Leadership Team

Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management)

Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field

Role Overview:

The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR.

Key Responsibilities:

1. BI Project Delivery & Visualization

• Lead and ensure timely execution of BI and data analytics projects.
• Deliver actionable, real-time dashboards and reports for internal business teams.
• Transform existing Power BI platform into a world-class analytics and visualization hub.
• Create dashboards that are intuitive, engaging, and built for decision support.

2. Stakeholder Engagement & Strategy Alignment

• Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools.
• Serve as a thought partner and SME for business users across the SBIFM landscape.
• Present visualizations and insights to senior stakeholders to influence strategy.

3. Team Management

• Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI.
• Oversee day-to-day development tasks, performance reviews, and upskilling initiatives.
• Foster a data-driven culture and best practices in dashboard design and reporting.

4. Data Architecture & Engineering

• Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques.
• Ensure strong data governance, security, and quality standards across reporting systems.
• Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable).

5. Cross-Functional Collaboration

• Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR.
• Drive continuous improvement in data access, quality, and utility for all functions.
• Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy.

6. Business Impact & Decision Support

• Enable smarter and faster decision-making by delivering meaningful insights.
• Drive revenue growth and deal conversions through better business intelligence.
• Support predictive analytics, customer segmentation, and performance dashboards.

Mandatory Technical Skills:

• MSBI Stack (SSIS, SSRS, SSAS)
• Power BI Advanced Dashboarding and Visualization
• ETL Development Tools
• Experience with report automation, KPI frameworks, and interactive dashboards

Desirable Technical Skills:

• SQL Programming & Data Modeling
• Cloud Data Platforms: Azure, Databricks, Snowflake
• Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics

Key Competencies:

• Leadership & Team Building Strong ability to manage cross-functional data teams
• Business Acumen Ability to understand and align data solutions to business strategy
• Communication Strong presentation and stakeholder management skills
• Analytical Thinking Problem-solving mindset with attention to data accuracy
• Project Management Ability to handle multiple projects in an agile environment

Job Summary:

The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business.