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ELGI Equipments
ELGi Equipments - Head of Data (15-20 yrs)
ELGI Equipments
posted 8d ago
Flexible timing
Key skills for the job
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.
Functional Areas: Other
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