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Director - AI Analytics (Supply Chain / Operations) - Strategy & Advisory
2 months ago
We are seeking a highly skilled and experienced Director of AI Analytics to join our team at Capgemini Invent. As a key member of our Data Driven Transformation Practice, you will play a critical role in helping our clients in the manufacturing sector transform and improve their operations by leveraging insights from underlying business, process, and machine data.
Key Responsibilities- Leverage Executive-Level Relationships: Build and maintain a sustainable network of clients to drive business growth and secure delivery.
- Partner with Internal Leaders: Collaborate with other internal leaders across capability areas and industries to design and sell profitable business and digital transformation programs.
- Develop New Client Relationships: Establish new client relationships through various means, with support from Vice Presidents.
- Accelerate Advisory Services: Help run energetic workshops with clients to identify pain-points, desires, as-is situation, solution path, solution design, etc.
- Define Solution Approaches: Own solution approaches, technical designs, and advise on solution development, testing, and roll-out.
- Lead Technical Experts: Guide teams of technical experts and engineers in building technical solutions, while building a holistic view of the clients' challenges.
- Find Opportunities for Improvement: Identify and cultivate opportunities for growth and improvement within the business.
- Contribute to Deal Growth: Contribute to and drive the growth of AI/Analytics deals to expand the team.
- Build Client Trust: Establish and maintain strong client relationships to drive project success and manage risks.
- Manage AI/Analytics Consultants: Manage and grow AI/Analytics consultants to expand the practice.
- Engineering Degree: Hold a Bachelor's degree in Engineering (Master's or MBA with a STEM background preferred).
- Data Strategy & Governance: Possess expertise in Data Strategy and Data Governance.
- Customer Analytics: Have experience in Customer Analytics or Intelligent Industry Analytics (Smart Plant/Manufacturing, Smart Supply Chain, etc.).
- AI/Analytics Use Cases: Have experience in delivering AI/Analytics use cases.
- Industry 4.0 Concepts: Familiarity with Industry 4.0 concepts such as IoT, Edge, Data Hub, predictive maintenance, Digital thread, control tower, and others.
- Data Standards and Manufacturing Standards: Knowledge of Data Standards and Manufacturing Standards and Capabilities.
- Process Mapping: Experience in process mapping and identifying system/process weaknesses and areas for possible issues.
- Customer-Centric Data, AI, and Analytics: Expertise in building customer-centric Data, AI, and Analytics capabilities to support clients in their business transformation at scale.
- Data Processing and Visualization: Understanding of the value of data and experience in processing transactional and time-series data from various sources.
- Digital Signal Processing and Machine Learning: Great knowledge and experience in digital signal processing, statistical process control, and machine learning.
- Data Acquisition and Distribution: Familiarity with data acquisition, distribution, processing, and visualization technologies used in the manufacturing domain (sensors, IoT, data platforms, dashboarding, and BI tools).
- Complex Subject Explanation: Ability to explain complex subjects simply and clearly to technical experts and business experts alike.
- Opportunity Identification: Ability to identify opportunities for improvement, define and cultivate use cases, and create associated business cases.
Capgemini Invent is a global leader in business transformation and innovation. 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.
We strive to shape a regenerative future that is both sustainable and inclusive for businesses, people, and planet.