Regional Warehouse IT Data Solution Consultant

Location: Mumbai, India

When you work with us, you’ll find that we deliver results; without compromising on respect. We value each other’s differences while recognising individual strength.

We are the world’s leading contract logistics company. We create competitive advantage for our customers through customized warehousing and transportation services. We combine our global scale with local knowledge and sector expertise.

At DHL Supply Chain (DSC), there's more to a role than the work we do. Whatever your role is, we never forget that you make us who we are. We work hard to make sure a career with DHL is as satisfying and successful as it can be.

Join a supportive work environment where you’ll have the tools and training you need to grow and succeed.

DHL Supply Chain is Great Place To Work® certified.

The Regional Warehouse IT Data Solution Consultant is responsible for leading, designing, delivering and supporting strategic data solutions and structured analysis of business data requirements within the Warehouse Management System (WMS) ecosystem strategy in the APAC region. This role aligns with the overall business strategy and objectives, as well as adheres to Group guidelines and policies.

The Regional Warehouse IT Data Solution Consultant will lead the support of the WMS data strategy Agenda for the APAC region, encompassing design, planning, strategic direction, delivery, and support. This role also collaborates closely with the WMS Head APAC, WD VP and CIO APAC to ensure the successful implementation of the strategic roadmap for the WMS solution in the APAC region

• Develop and implement data solutions that address the specific business requirements within the WMS ecosystem in the APAC region 
• Conduct structured analysis of business data to identify insights and opportunities for optimization and improvement
• Ensure alignment of the WMS data strategy with the overall business strategy and objectives.                                
• Work closely with cross-functional DHL DSC stakeholders to understand, translate and define business requirements, business rules, technical requirements, and dataflows/integration constructs into work packages
• Play a key role in proposing appropriate data solutions from approved data tech stacks and available data products in APAC MAWM Data Ecosystem that fits to specific business use case requirements.
• Support development with delivery partners and take ownership in prioritizing and delivering scalable, resilient, and cost efficient data solutions within scope and time
• Coordinate data standardization approach across APAC business unit IT
• Constant review deployed data solutions with focus to identify and implement any improvement opportunities, ensuring operational efficiency and cost effectiveness over long term
• Provide effective consultancies for strategic data use regarding reporting, dashboards and analytic tools
• Create common data source (e.g. DB views) as baseline for shared usage

• Minimum 5 years of working experience around enterprise grade data solutioning and visualization in supply chain industry
• Data related certifications would be a plus.
• Experience/certificate for BI tools - Power BI, Qlik Sense
• Experience with SQL / NoSQL databases - Oracle, Ms SQL, MySQL
• Preferable experience with with AI / Machine Learning - Kubeflow, DataRobot, Python
• Preferable experience with with data ingestion tools - Azure Data Factory, Talend, Qlik Replicate, DataBricks and data warehousing techs - Snowflakes, Azure Synapse
• Knowledge of supply chain and warehousing domains at regional exposure
• Solid understanding of data disciplines - data engineering, data management, data governance, data analytics, data visualization
• Strong problem-solving and continuous improvement mindset to overcome challenges. 
• Good interpersonal and communication skills.          
• Ability to drive regional data strategy 
• Clear understanding how to interpret data and visualize result for warehouse floor users as well as all management levels
• Understanding relationship of DB data/records against its business usage