Job Description:

As a Director in the Data Driven Transformation Practice 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 a provide supervision and hands on delivery - advising our clients and teams of engineers on solution approach, design, implementation, and roll-out of technical solutions. You are a key expert in growing our business and securing the delivery - building innovative technical solutions and can implement those by yourself or together with a team of consultants, data scientists, and engineers from client side and Capgemini.

Responsibilities:

You will be an expert in and help run energetic workshops with clients to identify pain-points, desires, as-is situation, solution path, solution design, etc.You will define and own solution approaches, and technical designs and advise on solution development, testing and roll-out.You will lead teams of technical experts and engineers that help build technical solutions – guiding them in build components of technical solutions on your own (e.g. ML Models, anomaly detection algorithms, etc.) while building a holistic view of the clients’ challenges – beyond technical aspects (business readiness, deployment strategy…)You will find and cultivate opportunities for improvement and grow the business within your spaceYou will help promote program/ solution/ team success internally and at the clientYou will contribute and drive some of the AI / Analytics deals to grow our teamYou will build client trust and close collaboration to drive the projects and manage the risksYou will manage some AI / Analytics consultants to grow them as part of growing the practice

Requirements:

Engineering Degree, B.S. (M.S. or MBA with STEM background preferred)Agile knowledge and expertiseOperations, Supply Chain and Manufacturing industry expetiseKnowledge onAI / Analytics tools landscape (Palantir (AIP), C3.AI, Cognite, AWS, Microsoft, SEEQ…)Experience in delivering AI / Analyticsuse casesStrong familiarity with Industry 4.0 concepts such as, IoT, Edge, Data Hub, predictive maintenance, Digital thread, control tower and othersKnowledge ofData Standards and Manufacturing Standards and CapabilitiesExperience inprocess mapping and ability to identify system / process weaknesses and areas for possible issues.

Functionally:

You have great 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 great 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 workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout 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.

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 accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

Job Description:

As a Director in the Data Driven Transformation Practice 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 a provide supervision and hands on delivery - advising our clients and teams of engineers on solution approach, design, implementation, and roll-out of technical solutions. You are a key expert in growing our business and securing the delivery - building innovative technical solutions and can implement those by yourself or together with a team of consultants, data scientists, and engineers from client side and Capgemini.

Responsibilities:

You will be an expert in and help run energetic workshops with clients to identify pain-points, desires, as-is situation, solution path, solution design, etc.You will define and own solution approaches, and technical designs and advise on solution development, testing and roll-out.You will lead teams of technical experts and engineers that help build technical solutions – guiding them in build components of technical solutions on your own (e.g. ML Models, anomaly detection algorithms, etc.) while building a holistic view of the clients’ challenges – beyond technical aspects (business readiness, deployment strategy…)You will find and cultivate opportunities for improvement and grow the business within your spaceYou will help promote program/ solution/ team success internally and at the clientYou will contribute and drive some of the AI / Analytics deals to grow our teamYou will build client trust and close collaboration to drive the projects and manage the risksYou will manage some AI / Analytics consultants to grow them as part of growing the practice

Requirements:

Engineering Degree, B.S. (M.S. or MBA with STEM background preferred)Agile knowledge and expertiseOperations, Supply Chain and Manufacturing industry expetiseKnowledge onAI / Analytics tools landscape (Palantir (AIP), C3.AI, Cognite, AWS, Microsoft, SEEQ…)Experience in delivering AI / Analyticsuse casesStrong familiarity with Industry 4.0 concepts such as, IoT, Edge, Data Hub, predictive maintenance, Digital thread, control tower and othersKnowledge ofData Standards and Manufacturing Standards and CapabilitiesExperience inprocess mapping and ability to identify system / process weaknesses and areas for possible issues.

Functionally:

You have great 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 great 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 workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout 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.

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 accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.