Lead Enterprise Data, Analytics & AI Platform Architect

Sogeti; Kansas City (MO); On-site; USD 185,000 - 200,000; Full time

Benefits offered by this job

Flexible work options

401(k) with 150% match up to 6%

Employee Share Ownership Plan

Life Insurance

Career Planning & Coaching

Tuition Reimbursement & Online Courses

Job summary

Sogeti seeks a senior Data & AI Strategist, Enterprise Architect, and Platform Transformation Leader to drive the vision, architecture, and delivery of the client's next-gen Data, Analytics, and AI ecosystem in Kansas City.

You will blend strategic consulting with hands-on data platform engineering on GCP, BigQuery, Databricks, Palantir, Looker, and Power BI to enable Data Products, semantic layers, and accelerated analytics value across EPC domains.

Qualifications

• Senior Data & AI leader with enterprise-scale strategy and architecture experience.
• Proven ability to define and implement data & AI strategies in complex environments.
• Hands-on with modern data platforms (GCP BigQuery) and data product operating models.

Responsibilities

• Define Enterprise Data & AI Strategy and architecture.
• Design Data Platform on Google Cloud and enable Data Mesh.
• Develop Data Products and semantic models for business domains.
• Advance Analytics, AI and GenAI solutions at scale.
• Improve Data & Analytics SDLC with AI-accelerated processes.
• Collaborate with EPC domains and industry data standards.

Skills

Data strategy

Enterprise architecture

GCP data platform

Data mesh

Data products

Semantic layers

Analytics & AI delivery

EPC domain knowledge

Databricks

Palantir

Looker

Power BI

Onsite Kansas City

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Business Administration

Tools

Databricks

Palantir

Looker

Power BI

Job description

Location: Kansas City, MO (Local Candidates Preferred)

About the job

We are seeking a senior leader to drive the vision, architecture, and delivery of the client's next-generation Enterprise Data, Analytics, and AI ecosystem. The ideal candidate will blend strategic consulting, enterprise architecture, data platform engineering, and AI solution delivery expertise to establish a scalable, business-aligned data and AI foundation.

This leader will be responsible for defining and implementing the enterprise Data & AI strategy, designing and standing up modern data platforms, enabling domain-oriented Data Products using Data Mesh principles, establishing semantic layers, and accelerating business value through advanced analytics and AI use cases.

The candidate should possess deep expertise in the GCP ecosystem, experience with Databricks Lakehouse and Palantir, and a strong understanding of EPC business processes and operational data domains.

What you will do at Sogeti

• Enterprise Data, Analytics & AI Strategy
• Data Platform Architecture - Google Cloud
• Data Mesh & Data Products
• Semantic Layer & Business Modeling
• AI & Advanced Analytics
• AI for Data & Analytics SDLC

Ideal Candidate Profile

The ideal candidate is a Data & AI Strategist, Enterprise Architect, and Platform Transformation Leader who has successfully:

• Defined Enterprise Data & AI Strategies
• Built modern GCP Data Platforms centered on BigQuery
• Implemented Data Mesh and Data Product operating models
• Established semantic layers using Timbr.ai or similar technologies
• Delivered Analytics, AI, and GenAI solutions at scale
• Leveraged AI to accelerate Data & Analytics SDLC and engineering productivity
• Worked within EPC organizations and understands industry-specific data domains
• Has hands‑on experience with Databricks, Palantir, Looker, and Power BI
• Is located in or willing to work onsite in the Kansas City area

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field.

Life at Sogeti - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work options
• 401(k) with 150% match up to 6%
• Employee Share Ownership Plan
• Life Insurance
• Career Planning & Coaching
• $5,250 Tuition Reimbursement & 20,000+ Online Courses

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands‑on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $185,000 - $200,000.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.