Data Product Technical Lead

The Data Product Technical Lead is the accountable technical authority for one or more enterprise data products. This role owns data architecture, modeling integrity, and delivery quality, ensuring data products are built correctly, consistently, and to enterprise standards across distributed delivery teams. This is an onshore leadership role that sets technical direction and governs quality while enabling execution by offshore engineering teams. Success is measured by correctness, scalability, and business trust in delivered data products., Own the technical architecture and data design for assigned data products across Personal Lines domains:

• Policy
• Quote & Underwriting
• Billing / Finance
• Service & Interaction Analytics
• Define and govern data product standards, including modeling patterns, SLAs, and quality thresholds
• Serve as the final authority on data architecture and design decisions
• Data Modeling & Platform Direction
• Own and enforce correct use of Data Vault 2.0 (Hubs, Links, Satellites, historization, grain, lineage)

Ensure alignment between:

• Source systems (legacy and modern PAS such as Guidewire)
• Canonical/Data Vault layers
• Curated and consumption models
• Guide platform design across AWS and Snowflake-based lakehouse architectures

Engineering Oversight & Quality Gates

• Review offshore engineering output for architectural alignment, data correctness, and performance
• Establish and enforce technical quality gates across ingestion, transformation, and modeling layers
• Escalate and resolve technical blockers impacting delivery predictability or data correctness

Delivery Enablement

• Partner closely with Data Product Knowledge Leads, Delivery Architects, and Product Owners
• Translate product intent and architectural patterns into clear, implementation-ready guidance for offshore teams
• Ensure MVPs evolve into production-grade, scalable data products

Advanced Analytics Enablement

• Ensure data products support downstream analytics and AI/ML use cases, including:
• Customer interaction analytics (IVR, call center, service metrics)
• Operational and financial insights
• Govern dimensional and analytical layer design to balance performance and correctness

• 10+ years of experience in data engineering and data platform architecture
• Deep experience in insurance data domains, especially Personal Lines (Policy, Quote, Billing, Service)
• Proven leadership designing enterprise data platforms using:
• Data Vault methodologies
• Snowflake
• AWS services (S3, Glue, Lambda, IAM, etc.)
• Hands-on background sufficient to review, challenge, and guide engineering implementation
• Strong SQL and data modeling expertise

Preferred Experience

• Experience integrating legacy insurance systems with modern PAS platforms (e.g., Guidewire)
• Familiarity with DBT-based transformation patterns
• Experience supporting AI-accelerated or automated delivery models
• Exposure to data governance, data quality, and observability frameworks

The base compensation range for this role in the posted location is: $105,000 - $115,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.