About Milliman

Independent for over 75+ years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance, and financial services, and property and casualty insurance.

Role Summary The Senior Data Architect will lead the design, implementation, and delivery of scalable data architecture and engineering solutions within a Microsoft Fabric-based sandbox environment supporting advanced analytics, actuarial discovery, and business intelligence use cases.

This role will define ingestion patterns, Lakehouse structure, data layer strategy, data quality controls, and analytics-ready datasets that enable pricing, underwriting, claims, fraud, risk segmentation, and broader healthcare and insurance analytics use cases.

This is a senior client-facing role that requires a combination of strong technical architecture skills, hands-on data engineering capability, consulting mindset, and communication excellence. The individual will work directly with clients and internal stakeholders to understand business challenges, assess current-state data environments, architect scalable solutions, and align client needs with Milliman’s analytics, actuarial, and technology capabilities.

The successful candidate will possess an entrepreneurial and startup-oriented mindset, demonstrate strong ownership and accountability, remain hands-on in delivery, guide junior team members, and drive cross-functional teams toward shared delivery goals.

Key Responsibilities

Data Architecture and Engineering Leadership

- Lead the end-to-end data architecture for the sandbox environment, including ingestion patterns, Microsoft Fabric Lakehouse structure, bronze, silver, and gold table strategy, and data quality framework.
- Own the technical design and implementation approach for data ingestion into Microsoft Fabric, including pipeline design, file validation, schema handling, partitioning, metadata management, and incremental load strategy.
- Translate raw and curated source data into analytics-ready datasets, including daily summary, event-summary, exposure, behavioral, contextual, actuarial, and business feature tables.
- Define and implement data profiling, reconciliation, and validation outputs such as row counts, file counts, duplicate checks, null analysis, timestamp coverage, identifier stability, unit validation, and business rule checks.
- Design scalable and reusable data architecture patterns that support pricing, underwriting, claims, fraud detection, risk segmentation, operational analytics, and management reporting use cases.
- Establish documentation standards for data models, transformation logic, quality rules, assumptions, limitations, lineage, operational procedures, and handover materials.

Client Engagement and Communication

- Engage directly with client business, analytics, actuarial, technology, and operational stakeholders to understand their current data environment, business objectives, pain points, systems landscape, and analytical maturity.
- Facilitate discovery workshops, requirements gathering sessions, architecture discussions, solution design reviews, and technical walkthroughs.
- Translate complex technical architecture concepts into clear business implications, options, trade-offs, and recommendations for both technical and non-technical stakeholders.
- Communicate effectively with senior client stakeholders, including technology, analytics, operations, actuarial, and business leadership teams.
- Prepare and present architecture recommendations, solution roadmaps, implementation options, delivery risks, dependencies, mitigation plans, and business benefits.
- Act as a trusted advisor to clients by helping them understand how data architecture, analytics, and Milliman solutions can support measurable business outcomes.

Solution Design and Milliman Solution Alignment

- Assess client data ecosystems, technology platforms, operational workflows,



and analytical needs to identify where Milliman solutions, accelerators, methodologies, and actuarial expertise can create value.
- Translate client requirements into practical, scalable, and outcome-driven solution architectures.
- Link client challenges with Milliman capabilities across actuarial analytics, payer analytics, fraud, waste and abuse, pricing, underwriting, claims, risk adjustment, utilization management, and business intelligence.
- Support solution shaping for client opportunities, including technical approach, architecture design, level-of-effort estimation, delivery planning, and proposal inputs.
- Partner with Milliman consulting, actuarial, product, analytics, and technology teams to ensure proposed solutions are commercially relevant, technically feasible, and aligned with client priorities.
- Identify opportunities to industrialize repeatable solution components, reusable data models, accelerators, templates, and delivery playbooks.

Team Leadership and Delivery Ownership

- Provide technical direction, design guidance, code review, and mentoring to junior engineers and analysts.
- Drive the team toward shared delivery goals by clarifying priorities, removing obstacles, and maintaining accountability for outcomes.
- Partner closely with actuarial teams to understand required features and ensure data models support pricing, underwriting, claims, fraud, and risk segmentation analysis.
- Coordinate with product leadership, IT, and security stakeholders on Microsoft Fabric configuration, Lakehouse setup, roadmap decisions, access controls, and environment readiness.
- Maintain a hands-on role in solution design, data engineering, troubleshooting, quality reviews, and delivery execution.
- Balance strategic architecture thinking with practical implementation needs, especially in quick-moving or ambiguous client environments.
- Promote a collaborative delivery culture focused on quality, speed, client value, and continuous improvement.

Required Skills And Experience

Technical Architecture and Engineering

- Strong experience designing and implementing scalable data engineering or data architecture solutions.
- Hands-on experience with Microsoft Fabric, Azure data services, Lakehouse architecture, OneLake, pipelines, notebooks, and modern cloud data platforms.
- Strong understanding of bronze, silver, and gold data layer design, data modeling, data integration, and data quality frameworks.
- Proficiency in SQL, Python, Spark, and data pipeline development.
- Experience with schema management, incremental processing, partitioning, validation, reconciliation, and performance optimization.
- Ability to design analytics-ready datasets and feature layers for actuarial, operational, financial, and business intelligence use cases.
- Strong understanding of data governance, access control, security, lineage, metadata, and documentation practices.
- Ability to translate business and actuarial requirements into robust technical data models and feature datasets.

Client-Facing And Consulting Skills

- Excellent verbal and written communication skills, with the ability to engage client stakeholders confidently and professionally.
- Demonstrated ability to explain complex technical topics to business, actuarial, product, engineering, IT, and security stakeholders.
- Ability to understand client environments, ask structured discovery questions, identify business problems, and translate findings into solution options.
- Experience facilitating requirements gathering sessions, data discovery workshops, architecture discussions, and client presentations.
- Ability to develop clear documentation, executive-level summaries, technical notes, solution narratives, and implementation recommendations.
- Strong consulting mindset with the ability to connect technical delivery to client outcomes, business value, operational improvement, and measurable impact.

Solution Architecture and Business Alignment





- Ability to design end-to-end data and analytics solutions spanning ingestion, transformation, storage, quality control, feature engineering, reporting, analytics, and operationalization.
- Strong capability to assess current-state architecture and recommend pragmatic future-state solutions.
- Ability to link client needs with Milliman solutions, accelerators, actuarial methods, analytics assets, and delivery capabilities.
- Understanding of how data and analytics solutions support business outcomes in insurance, healthcare, payer, provider, actuarial, claims, fraud, pricing, underwriting, risk, or operational environments.
- Ability to support proposal development, solution estimation, delivery planning, and technical sales conversations.

Leadership, Ownership, and Mindset

- Demonstrated ability to lead multidisciplinary teams while remaining hands-on in architecture, data engineering, troubleshooting, and delivery.
- Strong ownership mindset with accountability for delivery outcomes, quality, timelines, and stakeholder satisfaction.
- Entrepreneurial and startup-oriented mindset, with comfort working in ambiguous, evolving, and fast-paced environments.
- Willingness to roll up sleeves and contribute directly to solution design, development, analysis, documentation, and issue resolution.
- Ability to motivate and guide teams toward shared goals, especially when requirements are evolving or delivery timelines are tight.
- Proactive problem solver who identifies risks early, removes blockers, and continuously improves delivery approach.

Preferred Qualifications

- Experience working with insurance, actuarial, claims, pricing, underwriting, mobility, operational, or risk analytics data.
- Experience working in healthcare payer, provider, health insurance, actuarial consulting, fraud, waste and abuse, utilization management, or population health analytics environments.
- Experience working in a consulting, professional services, client advisory, or solution delivery environment.
- Experience leading client-facing data modernization, cloud migration, analytics transformation, or data platform implementation initiatives.
- Experience integrating data from GCP or other cloud platforms into Azure or Microsoft Fabric environments.
- Familiarity with data governance, access control, security configuration, and compliance-oriented data environments.
- Prior experience mentoring junior engineers or leading technical delivery in a cross-functional product environment.
- Experience working with geographically distributed teams across consulting, actuarial, product, technology, and client delivery functions.
- Familiarity with Power BI, Azure DevOps, Git, CI/CD practices, data cataloging, metadata management, and cloud cost/performance optimization.

Key Leadership Attributes

- Be a strong communicator who can effectively engage both technical teams and executive stakeholders.
- Understand client environments and business challenges beyond technology alone.
- Actively identify opportunities to connect client needs with Milliman solutions, capabilities, and intellectual property.
- Balance strategic architecture thinking with hands-on delivery execution.
- Thrive in a startup-like environment that requires ownership, flexibility, initiative, and resourcefulness.
- Build high-performing teams and drive collective success through collaboration, accountability, and leadership.
- Consistently focus on delivering measurable client outcomes and long-term business value.

Success Measures

- Design and deliver a scalable, reliable, and well-documented Microsoft Fabric-based data architecture.
- Convert complex client data environments and business problems into practical, implementable solution designs.
- Build trust with client stakeholders through clear communication, structured problem solving, and credible technical leadership.
- Create analytics-ready datasets that support actuarial and business use cases including pricing, underwriting, claims, fraud, and risk segmentation.
- Identify opportunities to connect client needs with Milliman analytical, actuarial, and technology capabilities.
- Lead junior engineers and cross-functional teams toward high-quality delivery outcomes.
- Operate with a hands-on, entrepreneurial mindset while maintaining accountability for client value and delivery excellence.

📌 Senior Data Architect (Gurugram)
🏢 Milliman India
📍 Gurugram