Associate Director - Data & BI

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 engineers Job title:

Associate Director - Data & BI 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.

Location:

BangaloreIndia