15 ELGI Equipments Jobs

Role Overview :

Head of Data will be responsible for leading the enterprise-wide data strategy, governance, and analytics initiatives to enable a data-driven culture and unlock business value for ELGi.

Key Responsibilities :

Data Strategy and Vision :

- Develop and implement the enterprise data strategy to align with business objectives and digital transformation priorities.

- Create a clear roadmap for data governance, data platforms, analytics, and advanced technologies (e., AI/ML, IoT).

- Lead the enterprise-wide adoption of data-driven decision-making, fostering a culture of analytics and innovation.

- Collaborate with executive leadership to define and prioritize data-driven initiatives that deliver measurable business impact.

Data Governance and Management :

- Establish and oversee enterprise data governance frameworks to ensure data quality, consistency, compliance, and availability.

- Define and enforce data policies, standards, and controls across the organization to support regulatory and security requirements (e., DPDP, GDPR, CCPA).

- Lead the development of robust data architecture to enable seamless integration and flow of data across systems (ERP, PLM, CRM etc.)

- Oversee the implement of tools and frameworks for metadata management, master data management (MDM), and data lineage.

Data Analytics and Insights :

- Lead the design and implementation of advanced analytics and BI capability with solutions and tooling to enable actionable insights and improve business outcomes.

- Drive the development and deployment of AI/ML models for predictive and prescriptive analytics to optimize manufacturing, supply chain, quality, and customer processes.

- Promote self-service analytics capabilities to empower teams across business functions to leverage data independently.

- Partner with IT and business units to develop data-driven use cases that drive revenue growth, cost savings, and operational efficiency.

Data Platforms and Technology Enablement :

- Oversee the development and management of cloud-based data platforms, data lakes, and big data architectures.

- Drive the adoption of modern data technologies, such as data mesh, data virtualization, and real-time data pipelines.

- Ensure the scalability, security, and performance of data platforms to meet current and future business needs.

Data Security and Compliance :

- Collaborate with security teams to implement robust data security controls and ensure compliance with global data protection regulations.

- Lead efforts to identify and mitigate data risks while promoting transparency and trust in data management practices.

Leadership and Collaboration :

- Build and lead a high-performing data organization comprising data engineers, data analysts, data scientists, and governance professionals.

- Foster cross-functional collaboration with IT, business leaders, and external partners to identify and prioritize data opportunities.

- Champion data literacy programs across the organization to upskill teams and drive data-driven decision-making.

Desired Competencies :

- Expertise in data strategy, data governance, and data architecture design for large-scale organizations.

- Strong knowledge of cloud-based data platforms (e., Azure Data Services, AWS, Google Cloud), big data technologies, and data lakes.

- Proficiency in advanced analytics, machine learning, and AI platforms (e., Databricks, Snowflake, Power BI, Python/R, Spark).

- Deep understanding of master data management (MDM), metadata management, and data integration techniques.

- Familiarity with modern data concepts, such as data mesh, data fabric, and real-time analytics pipelines.

- Ability to translate data strategies into actionable business outcomes and measurable ROI.

- Strong understanding of manufacturing industry processes, including supply chain, production, quality, and product lifecycle management.

- Demonstrated success in leveraging AI/ML and advanced analytics to solve complex business challenges.

- A forward-thinking mindset to identify and drive the adoption of emerging data technologies.

- Excellent communication, stakeholder management, and change management skills to promote data initiatives across the enterprise.

Education & Experience :

- Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field (Master's degree preferred).

- Preferred Certifications CDMP or equivalent (preferred), Cloud certifications (e., Azure Data Engineer, AWS Data Analytics Specialty).AI/ML certifications (e., AWS Machine Learning Specialty, Microsoft AI Engineer).

- 15+ years of experience in data management, analytics, and strategy leadership roles, with at least 5 years at leadership level.

- Proven track record of leading enterprise data transformations in a global manufacturing or industrial environment.

- Hands-on experience in implementing enterprise-wide data governance, advanced analytics, and cloud-based data platforms.