Capgemini Invent, Data / AI Strategy and Transformation - Senior Consultant

Job Description

Capgemini Invent, Data / AI Strategy and Transformation - Senior Consultant-

Description

Candidates can be based out of Chicago Atlanta New York Metro Houston

As a Senior Consultant in the Data Driven Transformation Team of Capgemini Invent you will help clients in the manufacturing sectors transform and improve their operations by leveraging insights from underlying business, process and machine data.

You will be advising our clients on solution approach, design, implementation, and roll-out of technical solutions. You are a key expert in building innovative technical solutions and can implement those.

Responsibilities :

• You will help run energetic workshops with clients to identify pain-points, desires, as-is situation, solution path, solution design, etc.
• You will help define solution approaches , and technical designs and advise on solution development, testing and roll-out.
• You will build components of technical solutions on your own and in team with other engineers (e.g. ML Models, anomaly detection algorithms, etc.)
• You will find and cultivate opportunities for improvement and grow the business within your space
• You will help promote program / solution / team success internally and at the client

Requirements :

• Engineering Degree, B.S. (M.S. or MBA with STEM background preferred)
• Agile knowledge and expertise
• Industrial or Customer Analytics Experience
• Operations, Supply Chain and Manufacturing exposure
• Knowledge on AI / Analytics tools landscape (Palantir (AIP), C3.AI, Cognite, AWS, Microsoft, SEEQ )
• Experience in delivering AI / Analytics use cases
• Familiarity with Industry 4.0 concepts such as, IoT, Edge, Data Hub, predictive maintenance, Digital thread, control tower and others
• Experience with some of these programming languagessuch as Python, SQL, JAVA, C++, C, MATLAB
• Knowledge of Data Standards and Manufacturing Standards and Capabilities
• Experience in process mapping and ability to identify system / process weaknesses and areas for possible issues.

Ideally :

You have good understanding of the world of manufacturing and maintenance operations and its processes, concepts and best practices and have been part of Industry 4.

0 type initiatives and / or transformations.

• You understand the value of data and have experience in processing transactional and time-series data from various sources.
• You have knowledge and experience in digital signal processing, statistical process control and machine learning.
• You know data acquisition, distribution, processing and visualization technologies used in the manufacturing domain (sensors, IoT, data platforms, dashboarding and BI tools).
• You can explain complex subjects simply and clearly to technical experts and business experts alike. You can identify opportunities for improvement, define and cultivate use cases and create associated business cases

Life at Capgemini

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

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as (k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child / elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini Invent

We challenge the status quo to craft and build transformative human experiences that win hearts and move markets.

Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer centric transformation.

Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet.

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