BI Lead (Looker / GCP)

Capgemini•Austin, TX

1d•Onsite

About The Position

We are hiring a BI Lead with expertise in Looker and Google Cloud Platform (GCP) to drive the design and delivery of modern, AI-powered analytics solutions. This role requires a strong blend of hands-on technical leadership and stakeholder management, with a focus on transforming legacy BI environments into AI-first, cloud-native platforms. The ideal candidate will lead end-to-end BI architecture, migration from legacy tools (SAP BO, Cognos, Tableau, etc.), and implementation of advanced capabilities such as Conversational AI (Google Gemini). You will play a key role in building scalable data models, governed semantic layers, and enterprise BI frameworks. Strong client engagement, executive communication, and team leadership skills are essential, along with deep expertise in data modeling, governance, and modern analytics platforms.

Requirements

Hands-on leadership experience with BI implementations and modernization programs
Strong experience in enterprise-scale analytics transformation initiatives
Proven ability to bridge technical and business stakeholders
Google Cloud Platform (GCP)
Looker
Prompt Engineering
Google Gemini (or similar AI platforms)
SAP BusinessObjects
Tableau
IBM Cognos
MicroStrategy
SSRS
Star Schema
Dimensional Modeling
Semantic Layer Design (LookML)
Google BigQuery
Databricks
Data Lineage
Role-Level Security (RLS)
CI/CD Pipelines
AI Governance
Executive communication
Client engagement
AI solution storytelling
Change management

Responsibilities

Lead the design and implementation of end-to-end BI and analytics solutions, integrating AI-driven capabilities to accelerate insights and democratize data access.
Architect modern BI platforms using Looker and GCP, ensuring scalability, performance, and governance.
Design and implement semantic layers (LookML) optimized for business and AI consumption.
Drive adoption of Conversational AI solutions (e.g., Google Gemini) for governed self-service analytics.
Integrate AI/ML capabilities, including prompt engineering, to enable intelligent reporting and proactive insights.
Evaluate and implement AI-driven features for event-based and automated analytics.
Lead, mentor, and upskill BI developers and analysts, especially in AI-enabled analytics practices.
Engage with stakeholders and present architecture strategies, delivery roadmaps, and business value propositions.
Drive change management initiatives to support adoption of modern BI and AI solutions.