What are the responsibilities and job description for the Supply Chain & MFG Data Lead position at Hitachi Digital Services?
Our Company
We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.
Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.
The team
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 operates with a strong focus on innovation, scalability, and operational excellence.
As Part Of This Team
We are looking for an experienced Data Lead with deep expertise in AWS, Databricks, and modern cloud data architectures to drive end-to-end solution design and delivery across Supply Chain & Manufacturing functions. This is a hands-on leadership role responsible for defining scalable data strategies, leading implementation efforts, and ensuring strong alignment between business needs and technical execution.
You will own the architecture, design, and optimization of data pipelines, ETL/ELT frameworks, data models, and integration patterns. You will work closely with senior leadership, data engineers, data scientists, and business teams to build secure, compliant, and high-performing data solutions that drive reporting, analytics, operational efficiency, and decision-making across the enterprise.
Key Focus Areas Include
We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.
Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.
The team
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 operates with a strong focus on innovation, scalability, and operational excellence.
As Part Of This Team
- You will partner closely with supply chain, operations, and manufacturing leadership to shape data strategy.
- You will lead and mentor technical contributors while driving architectural standards across programs.
- You will collaborate with cloud, security, product, and governance teams to deliver robust, compliant, and future-ready data platforms.
- You will work in a culture that values continuous improvement, collaboration, and thought leadership—providing opportunities for certification support, skill development, and career growth.
We are looking for an experienced Data Lead with deep expertise in AWS, Databricks, and modern cloud data architectures to drive end-to-end solution design and delivery across Supply Chain & Manufacturing functions. This is a hands-on leadership role responsible for defining scalable data strategies, leading implementation efforts, and ensuring strong alignment between business needs and technical execution.
You will own the architecture, design, and optimization of data pipelines, ETL/ELT frameworks, data models, and integration patterns. You will work closely with senior leadership, data engineers, data scientists, and business teams to build secure, compliant, and high-performing data solutions that drive reporting, analytics, operational efficiency, and decision-making across the enterprise.
Key Focus Areas Include
- 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 & 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.
- Strong 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 NoSQL).
- 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.
- Ability to identify risks, optimize costs, drive innovation, and improve overall data quality.
- Strategic mindset with hands-on execution capability.
- 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. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.