MFG Data Lead

Join to apply for the Supply Chain & MFG Data Lead role at Hitachi Consulting (formerly Information Management Group).

Hitachi Digital Services is a global digital solutions and transformation business with a bold vision to empower people and future‑proof urban spaces, conserve natural resources, and protect rainforests.

You will be part of a high‑impact Data & Analytics organization working alongside data engineers, architects, scientists, and business SMEs across Supply Chain and Manufacturing. The team focuses on innovation, scalability, and operational excellence.

• Partner closely with supply chain, operations, and manufacturing leadership to shape data strategy.
• Lead and mentor technical contributors while driving architectural standards across programs.
• Collaborate with cloud, security, product, and governance teams to deliver robust, compliant, and future‑ready data platforms.
• Own architecture, design, and optimization of data pipelines, ETL/ELT frameworks, data models, and integration patterns.
• Work with senior leadership, data engineers, data scientists, and business teams to build secure, compliant, high‑performing data solutions that drive reporting, analytics, operational efficiency, and decision‑making.
• Translate supply chain and manufacturing data needs into actionable technical designs.
• Drive data governance, security, and compliance standards across the ecosystem.
• Mentor technical teams and ensure successful cross‑functional project execution.

• Designing and delivering end‑to‑end cloud‑native data solutions on AWS, Databricks, and Snowflake.
• Leading data engineering best practices, architectural governance, and technical implementation.
• Translating supply chain and manufacturing data needs into actionable technical designs.
• Driving data governance, security, and compliance standards across the ecosystem.
• Mentoring technical teams and ensuring successful cross‑functional project execution.

• Hands‑on experience with AWS data services (S3, Redshift, Glue, Lambda, Kinesis, EMR).
• Proven experience with Databricks, Spark‑based processing, and Delta Lake.
• Expertise in designing and building large‑scale data pipelines, real‑time and batch ETL/ELT, and data integration patterns.
• Solid understanding of data lakes, data warehouses, and modern cloud data architectures.
• Proficiency in Python, SQL, and/or Scala.
• Strong understanding of data modeling (relational + No
  
  SQL).
• Familiarity with CI/CD pipelines for data products and infrastructure.
• Experience in data governance frameworks, security controls, and regulatory compliance (GDPR, HIPAA, etc.).
• Proven ability to lead data engineering and cross‑functional delivery teams.
• Strong stakeholder management: translating business requirements into scalable data solutions.
• Excellent communication skills with the ability to present technical solutions to non‑technical leaders.
• Experience managing concurrent data initiatives with Agile project delivery practices.
• AWS or Databricks certifications (Solutions Architect, Data Engineer, Big Data).
• Experience with BI/analytics tools (Tableau, Power BI, Looker).
• Industry experience in Supply Chain, Manufacturing, Logistics, or Industrial Operations.

We’re a global team of innovators committed to building inclusive culture based on mutual respect and merit‑based systems. We help companies become data‑driven leaders and champion life balance with flexible arrangements.

We’re proud to be an equal‑opportunity employer and welcome all applicants regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, age, disability status, or any other protected characteristic. If you need reasonable accommodations during the recruitment process, please let us know so we can set you up for success.