Associate Director - Data & BI
Experience: Job Code: REQ-032774
Sagility
Bangalore
job Details
Job title
Associate Director - Data & BI
About Sagility
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.
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 engineers
Job title:
Job Description:
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.
? Strong 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.
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