We are seeking a Senior Data Lead to design and lead enterprise data architecture, engineering, and governance initiatives with a strong focus on Procurement and Master Data Management (MDM). The role involves building scalable data platforms, ensuring high-quality data systems, and enabling data-driven decision-making across the organization.
Key Responsibilities
Data Strategy & Leadership
Define and drive enterprise data engineering and MDM strategy aligned with business goals.
Lead and mentor data engineering and analytics teams.
Establish best practices for scalable and high-performance data systems.
Act as domain expert for procurement and supply chain data.
Data Engineering & Architecture
Design and manage scalable data platforms, pipelines, and lakehouse/warehouse solutions.
Implement modern data stack and open-source technologies.
Ensure performance, reliability, and cost efficiency of data systems.
Build real-time and batch data processing frameworks.
MDM & Data Governance
Own enterprise MDM strategy and implementation.
Define and enforce data governance, quality, and metadata standards.
Ensure data accuracy, lineage, and compliance across systems.
Drive data standardization, deduplication, and harmonization initiatives.
Procurement Data & Analytics
Develop data solutions for supplier, vendor, and spend analytics.
Collaborate with Procurement, Finance, and Supply Chain teams for insights.
Manage integrations with ERP systems (SAP, Ariba, Coupa, etc.).
Enable analytics for vendor performance, risk, and cost optimization.
Stakeholder Collaboration
Work closely with business, product, and engineering teams.
Translate business requirements into scalable data solutions.
Drive adoption of self-service analytics and data platforms.
Communicate complex data concepts to non-technical stakeholders.
Must-Have Skills & Experience
Bachelor s/Master s degree in Computer Science, Data Engineering, or related field.
10 15+ years of experience in data engineering with strong exposure to MDM and procurement/supply chain data.
Strong expertise in Python, SQL, and ETL/ELT pipelines.
Experience in data architecture, data warehousing, and lakehouse solutions.
Hands-on experience with cloud platforms (AWS, Azure, or GCP).
Strong knowledge of Spark, Kafka, and Hadoop.
Expertise in MDM, data governance, data modeling, and data quality frameworks.
Experience with ERP and procurement/supply chain data (preferred).
Proven leadership in managing teams and large-scale data initiatives.
