Enterprise Process Engineer at Capgemini Invent

, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jul, 26

Salary

155000.0

Posted On

14 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data architecture, Process engineering, System integration, Workflow analysis, Data analytics, Data science, AI/ML, Predictive analytics, Prescriptive analytics, Statistical analysis, Hypothesis testing, Principal component analysis, Association rule mining, Stakeholder management, Technical documentation, Government contracting

Industry

Description

Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Enterprise Data Process Engineer, responsible for analyzing, documenting, and improving business and technical processes in support of government program objectives. This position evaluates end‑to‑end workflows within complex enterprise and data environments to ensure alignment between operational processes, system functionality, and contractual requirements. The role includes reviewing technical deliverables to verify compliance with Statements of Work (SOWs), identifying process gaps or risks, and supporting continuous process improvement efforts. The Enterprise Data Process Engineer works collaboratively with cross‑functional technical teams, data analytics and data science personnel, and government stakeholders to assess system integrations, data flows, and governance processes. The position provides objective analysis and recommendations related to enterprise system design, process efficiency, and the application of emerging technologies, including automation and AI/ML, as they relate to business processes. The role requires the ability to clearly document findings, communicate technical concepts to non‑technical audiences, and support program decision‑making within a regulated, government contracting environment. Key Responsibilities * Data Architecture as a Process: Deep experience in analyzing and optimizing the processes of a large-scale data ecosystem. This includes designing workflows for data publishing, discovery, and consumption in a decentralized or federated environment (e.g., Data Mesh or Data Fabric). * Technical Process Validation: Demonstrable experience in analyzing technical deliverables against contractual requirements (SOW) and validating that the delivered system's functionality aligns with the stated business process. * System Integration & Workflow Analysis: Strong understanding of how disparate systems and APIs connect, with the ability to model and analyze the end-to-end data flow to identify inefficiencies and risks. * Enterprise System Engineering: Proven ability to provide strategic recommendations on technology choices by analyzing their impact on long-term business processes, cost, and efficiency. * Familiarity with the workflows and processes of data analytics and data science teams. * Working knowledge of AI/ML concepts and their application to business process automation. * Strong communication and presentation skills, with the ability to translate complex data into actionable insights. Excellent problem-solving and critical-thinking abilities. * Ability to collaborate with cross-functional teams and manage multiple stakeholders, including government agencies. Required Qualifications * U.S. Citizenship is required * Eligible to obtain and maintain a Government Security Clearance * Master’s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred or additional equivalent experience * Minimum of 8 years of progressive professional experience (relevant advanced degrees may substitute equivalent number of years) with data science, AI/ML, or deep learning delivery responsibilities such as: * Managing teams to deliver work products that comply with quality, time, and technical targets * Coordinating and influencing stakeholders, managing communications, and managing client expectations * Designing and developing data models and algorithms for multi-objective optimization and decision making * Building and deploying predictive and prescriptive analytics * Conducting hypothesis testing, statistical and probability analyses * Applying appropriate methods to describe statistical relationships between variables * Performing multiple correspondence analysis (MCA), principal component analysis (PCA, and association rule mining ABOUT CAPGEMINI 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. The Group reported 2024 global revenues of €22.1 billion. GET THE FUTURE YOU WANT | WWW.CAPGEMINI.COM DISCLAIMER All qualified applicants will be considered for employment based on their skills, and merit. 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 $120K - $155K. 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.

Responsibilities

The Enterprise Data Process Engineer analyzes, documents, and improves business and technical processes to ensure alignment with government program objectives. They collaborate with cross-functional teams to assess system integrations, data flows, and governance while providing recommendations on process efficiency and emerging technologies.