Sr. Group Mgr. Data Science - Arch & Innovation

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

• Passionate for technology to solve complex business problems in semiconductors, Global Operations, Supply chain, and Manufacturing and greatly inspired by the industry's latest trends in Data & Analytics with strong knowledge of AI/ML & architecture. Build & Own practices in the Center of Excellence with continuous improvement. 
• Develop and create a high-performance innovation culture & environment in the “Analytics center of excellence (COE)”.
• Lead High Performing teams including Managers, Developers, data scientists, and architects with a focus on Data Science, BI, Artificial Intelligence, Machine Learning, Application Development, Robotics, and Deep learning. 
• Conceptualize new ideas into solutions and proven track record of solving identified business problems with Analytics & automation and achieving optimization in the analytics solution development & operational efficiencies. 
• Demonstrated ability to manage teams in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguity. 

Other Job Responsibilities

• Manage E2E Analytics COE Delivery while managing complex variables including Information and Data Governance, Data Management, SDLC Management, and alignment and partnership with GIS/IT teams.
• Manage and evaluate Analytics COE portfolio for data & architecture and innovation pipeline assisting strategic decision-making for COE platforms and technology selection as per alignment with Global IT, local IT, and Cross-functional teams
• Design, research, develop, analyze, and suggest new concepts as well as strategies as per the latest industry trends
• Deliver Rapid Prototypes, Experiments, Hypothesis Testing, and Adhoc Analysis for data-driven decision making. 
• Provide technical leadership to different Center of Excellence Teams and track reporting of KPIs/Metrics with cadence.
• Leading POCs to create breakthrough technical solutions, performing exploratory and targeted data analyses
• Understand the business context able to interpret data and make recommendations. Conduct Insight Sessions.
• Responsible for developing and managing analytical & business applications, AI, and digital transformation applications
• Lead and direct different cross-functional programs and projects of varied sizes and types concurrently.
• Contribute and influence the strategic direction of senior leadership using informal and formal communication.
• Manage and attain customer expectations and ensure high-quality delivery fulfills expectations.
• Proven thought-leadership when evaluating business problems and architecting a cohesive solution
• Strong interpersonal skills, with a desire to work as part of a global team. Excellent verbal, written, and clear communication skills, able to communicate cross-functionally
• Managing Stakeholder's expectations across different Business Functions and prioritizing the business needs

Minimum Qualifications

Education:

• Years of Experience: Minimum 18+ years and Minimum 8 years of supervisory experience.
• Job Experience: Experience in Building and Managing COE (Center of Excellence) & large technical & Analytics Teams. Strong Expertise in Data, BI, Web Applications, Advanced Analytics, and Data Science & Enterprise Architecture.
• Educational: Master’s Degree: Computer Science/Engineering/Mathematics/Statistics/Computer Science/MBA (Systems & operations) - M. Tech / Ph.D. from leading institutes. 

Mandatory Skills required to perform the job:

• Must have led an AI/Innovation and Architecture team in building and delivering solutions for Supply Chain/ Manufacturing/Operations or semiconductor Industry. Experience in identifying & defining technical problem statements
• Hands-On experience in Building and Managing COEs and D&A Governance. Managing Data Science, AI & ML Use Cases with strong expertise in Statistics, Machine Learning algorithms. Tool Expertise: Python, R, Tensor flow, CNTK.
• Strong working knowledge and experience in Enterprise & Data Architecture, Database Design, Star-Schema, Profiling, Modeling, SAP HANA/SQL Server, Big Data (Hadoop) & BI and Visualization tools Power BI/Qlik Sense/Tableau
• Hands-On Working Experience on Azure Cloud. Experience in Web Apps(.NET) , Power Platform, RPA etc.
• Hands-On Experience in Managing Large Analytics Projects & COE Teams with strong expertise in agile at scale.

Preferred Qualifications

• Knowledge of Business Systems like Kinaxis, Supply Chain Guru, SPM, SAP ECC, SAP S/4, Microsoft Dynamics
• Experience in strong application development exposure with C#, jQuery, ASP.NET MVC, Angular JS, node.js, Java, Restful Web Services. Good understanding of HTML 5.0, CSS 3.0, and JS
• Knowledge of Blockchain, 3D-Printing, AR, VR, Additive manufacturing, Familiarity with lean six sigma and its application.
• Hands-On Working experience in Big Data platforms such as Hadoop, Hive, Spark, Java, Web API, GPU Clusters for DL.

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.