Data & AI Capability Lead at NXP Semiconductors

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, AI Strategy, Data Platforms, BI Solutions, AI Solutions, Databricks, AWS, Lakehouse Architectures, Real-time Data Pipelines, GenAI Integration, MLOps, Model Governance, Edge AI, Team Leadership, Stakeholder Engagement, Cybersecurity Frameworks

Industry

Semiconductor Manufacturing

Description

Role Overview We are seeking a Data & AI Capability Lead to build and lead the Data & Artificial Intelligence capability within our Global Capability Center (GCC). This leader will be responsible to deliver, scale, and operationalize data platforms, BI & AI solutions that enable AI-powered decision intelligence across global operations. The role combines: Strategic architecture thinking Hands-on technical leadership Team building and talent development Cross-functional stakeholder engagement This is a high-impact leadership role supporting R&D, Operations, Finance and overall digital transformation initiatives. Key Responsibilities 1. Data & AI Strategy Execution • Translate enterprise digital and AI strategy into a GCC delivery roadmap • Build scalable data & AI • Support AI-first initiatives including predictive maintenance, quality analytics, GenAI copilots • AI lifecycle management (model governance, MLOps, observability) 2. Platform Delivery • Implementation and evolution of: • Cloud-native data platforms (Databricks on AWS) • Lakehouse architectures • Real-time data pipelines • GenAI integration frameworks (e.g., Bedrock-hosted LLM frameworks) • Deliver secure integration with brownfield systems (MES, ERP, equipment data, OT systems) • Drive modern data engineering practices (CI/CD, IaC, automated testing) 3. BI & AI Solution Delivery • Oversee delivery of: • AI/ML models (Edge AI experience preferred) • Anomaly detection and small signal detection models • GenAI assistants for operations, maintenance, and IT • Agentic AI workflows • Institutionalize MLOps and scalable deployment patterns • Ensure business value realization (cost savings, uptime improvement, yield 4. Team Leadership & Capability Building • Build and lead a high-performing Data & AI team (Data Engineers, ML Engineers, Data Scientists) • Develop citizen AI enablement playbooks • Establish strong engineering culture (code quality, experimentation, peer review) • Mentor future technical leaders 5. Governance, Risk & Compliance • Ensure alignment with enterprise cybersecurity frameworks, responsible AI standards and governance models • Manage data privacy, model explainability, and audit requirements • Collaborate with IT Security and Enterprise Architecture Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field 12–15+ years of experience in Data Engineering, AI/ML, or Advanced Analytics 10+ years in a leadership or team lead role Strong hands-on experience with: Cloud platforms (AWS preferred) Databricks / Lakehouse architectures Python / Spark MLOps practices Experience working in enterprise or manufacturing environments Preferred Qualifications Experience in semiconductor or discrete manufacturing Exposure to OT/IT integration Experience with GenAI frameworks and LLM integration Familiarity with reinforcement learning or advanced optimization Experience working in global matrix organizations Leadership Competencies Systems thinking in complex brownfield environments Strong execution discipline Builder mindset (from zero to scale) Data-driven decision making High ownership and accountability Ability to influence without authority More information about NXP in India... #LI-7013 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.

Responsibilities

This leader is responsible for building and leading the Data & AI capability within the Global Capability Center, focusing on delivering, scaling, and operationalizing data platforms, BI, and AI solutions for global operations. Key duties include executing the Data & AI strategy, overseeing platform and solution delivery, and building a high-performing technical team.