Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.

Engagement and Solutions Lead - Data & BI is the strategic owner of the data and business intelligence solutions and stakeholder engagement charter, responsible for building and scaling the analytics, reporting, and data infrastructure that powers business decision-making. The role servesa as the senior-most bridge between business leadership and the Data & BI function, translating business priorities, operational challenges, and transformation goals into a coherent data strategy, robust BI architecture, and a high-performing analytics organization.

The role partners closely with Operations, WFM, Finance, HR, Learning, Engagement & Solutions, Direct to Ops, and Learning Technology teams across geographies to drive measurable, data-led business outcomes, and leads a team of data and BI managers, analysts, and engineersJob title:

Associate Director - Data & BI:

Key Responsibilities

1. Data & BI Strategy and Leadership

- Own the end-to-end data and BI solution strategy, aligning it to enterprise and business unit priorities.
- Define the target-state data architecture, reporting ecosystem, and analytics roadmap.
- Build, mentor, and lead a high-performing team of BI managers, data analysts, and data engineers.
- Establish data governance standards, data quality frameworks, and metric definitions as a single source of truth across functions.
- Champion a data-driven culture, embedding analytics and insight generation into business decision-making.

2. Business Partnership & Demand Management

- Serve as the primary senior interface between business stakeholders, including Operations, WFM, Finance, HR, and Learning, and the Data & BI function.
- Understand business priorities, operational challenges, and transformation opportunities, and translate these into data and BI solutions.
- Lead discovery workshops and requirement-gathering sessions with senior business and functional leaders.
- Build trusted relationships with business and functional leaders and act as a data thought partner and advisor.
- Own demand intake, qualification, prioritization, and governance for the Data & BI portfolio.

3. Solutioning, Analytics & BI Solution Delivery

- Lead problem definition, business analysis, and end-to-end BI and analytics solution design.




- Partner with Azure architects and technology teams to translate business needs into scalable Azure solutions.
- Assess Azure-based options considering business value, security, scalability, integration, and cost.
- Identify opportunities for cloud modernization, automation, analytics, and AI.
- Translate business needs into data requirements, reporting and dashboard specifications, and analytics solution objectives.
- Oversee development of dashboards, self-service reporting, predictive and diagnostic analytics, and automated insight delivery using Power BI and other reporting platforms.
- Partner with Engagement & Solutions, Direct to Ops, and Learning Technology teams to embed Data & BI capabilities into fit-for-purpose business solutions.
- Evaluate and drive adoption of AI- and analytics-enabled solutions, automation, and workflow tools to enhance decision speed and accuracy.
- Ensure all Data & BI solutions align with business strategy, governance standards, and expected outcomes.

4. Portfolio & Governance

- Own portfolio planning, prioritization, and roadmap development for Data & BI initiatives.
- Define objectives, scope, success criteria, and expected business outcomes for Data & BI initiatives.
- Monitor initiative progress, data platform health, and adherence to governance and compliance standards.
- Prepare and present data strategy updates, portfolio status, and key decision points to senior leadership and executive stakeholders.

5. Stakeholder Management

- Manage senior and executive stakeholder expectations and communication on data strategy and analytics outcomes.
- Facilitate alignment across business functions, geographies, and BOLT teams on data priorities.
- Resolve ambiguity, competing priorities, and scope-related challenges across the Data & BI portfolio.
- Act as a trusted advisor to business leaders on data strategy, insight generation, and analytics maturity.

Key Deliverables

- Data & BI strategy and roadmap aligned with the Head of Data & BI and stakeholders
- Business Requirements Documents (BRDs) for data and analytics initiatives
- Functional requirements, data models, and reporting specifications
- Dashboards, scorecards, and self-service analytics solutions
- Solution assessments and recommendation papers
- Business cases and benefit realization plans for data initiatives
- Portfolio prioritization recommendations




- Data governance framework and metric standardization documentation
- Demand pipeline and initiative roadmap
- Stakeholder communication and governance artifacts
- Team capability-building and performance management plans

Key Skills & Competencies

Functional

- Data & BI strategy and roadmap ownership
- Business analysis and requirements management
- Solution consulting
- Stakeholder management
- Business process improvement
- Prioritization and roadmap planning
- Change management
- Agile and Waterfall methodologies
- Data governance and metric standardization
- Team building and people leadership

Technical

- Data Analytics and Business Intelligence at an advanced or expert level
- Power BI and enterprise reporting platforms, with hands-on and architectural fluency
- Data modeling, data warehousing, and data pipeline concepts
- Automation and workflow solutions
- AI- and analytics-enabled solutions, including predictive analytics and GenAI-driven insights

Azure Technical Awareness

- Working knowledge of Microsoft Azure, Azure Data Factory, Microsoft Fabric, Synapse, Azure SQL, Databricks, and Power BI
- Awareness of Azure Logic Apps, Functions, API Management, Power Automate, and Azure OpenAI and AI services
- Understanding of cloud security, governance, data protection, and FinOps concepts

Leadership

- Strategic thinking
- Executive presence and influence
- Team leadership and people development
- Problem solving
- Decision making
- Communication and presentation

Qualifications & Experience

- 12+ years of experience in Data & BI, Analytics, Business Intelligence, Data Strategy, or Data Engineering leadership roles, with demonstrated progression into senior leadership.
- Proven experience building and leading Data & BI teams and managing enterprise-scale reporting and analytics platforms.
- Experience with technology, analytics, automation, or digital transformation initiatives.
- Experience delivering Azure or cloud, data, analytics, automation, or AI transformation initiatives.
- Ability to work effectively with Azure architects, developers, data engineers, and BI teams.
- Exposure to Operations, WFM, Finance, HR, or Shared Services functions, ideally in a BPO, shared-services, or large operations-led environment.
- Robust stakeholder management, facilitation, and influencing skills at senior and executive levels.
- Experience leading requirements workshops, solution design discussions, and data governance forums.
- Experience managing multiple Data & BI initiatives, competing priorities, and cross-functional teams.
- MBA, PGDM, or an equivalent postgraduate qualification preferred. A degree or certification in Data Science, Analytics, or a related field is an added advantage.

Location:

BangaloreIndia

📌 Associate Director - Data & BI (Bengaluru)
🏢 Sagility
📍 Bengaluru