Business Domain Data Steward
About this role
Job Title
Business Domain Data StewardJob Description
Business Domain Data Steward | Pune, India| Full-time
If you are passionate about making data accessible, reliable, secure, and actionable to support data-driven decision-making within the Vanderlande Sell & Deliver Value Chain, this could be the ideal opportunity for you.
Your Role:
As a Data Steward within the Project Execution domain, you will play a key role in ensuring high-quality, trustworthy data is available to the right stakeholders at the right time. This role combines technical expertise with business understanding and offers the opportunity to collaborate closely with fellow Data Stewards, data engineers, data modelers, visualization specialists, subject matter experts, and business stakeholders across the Vanderlande Data Ecosystem.
You will be responsible for identifying data sources, maintaining data mappings within the data catalog, and validating, accepting, and governing data products that support analytics and business insights.
Join our highly motivated, collaborative, and performance-driven Sell & Deliver Data Team and contribute to advancing Vanderlande’s data-driven transformation journey.
What you will do/Key Responsibilities:
Data Governance (30%)
- Define, maintain, optimize, enforce, and monitor data policies, processes, procedures, and business rules across the Sell & Deliver Value Chain.
- Contribute to the overall data governance strategy, including policies and guiding principles.
- Support the Sell & Deliver Data Team with structured data management approaches, including data-to-source mapping and data assessments.
- Define and align fit-for-purpose data delivery requirements with Product Managers, Analytics teams, and Business Domain Owners.
- Participate in the Data Steward community led by the Executive Data Steward to ensure cross-domain alignment.
- Collaborate with Data Stewards across other business domains to align business rules and governance standards.
- Maintain business metadata and data dictionaries within Microsoft Purview.
- Own and manage domain-specific data products, including authorizations and access management.
Data Quality Management (50%)
- Oversee data streams and datasets within the business domain and coordinate improvements with other domain Data Stewards through the Data Governance Council.
- Define data quality acceptance criteria, critical data elements, KPIs, and corresponding quality targets.
- Implement workflows, monitoring mechanisms, and data quality KPIs aligned with the Vanderlande Data Ecosystem vision.
- Support internal data consumers in investigating and resolving data-related issues end-to-end.
- Drive timely and cost-effective resolution of data quality issues while considering agreed service levels between Central Analytics and business domains.
- Implement and manage end-to-end data quality checks across all data products within the Sell & Deliver scope.
- Proactively investigate and resolve data quality issues in Databricks environments.
- Manage data pipelines and authorizations supporting dashboards and downstream applications.
Data Exploration & Enablement (20%)
- Support the development and enhancement of Business Data Products and Source Data Products in collaboration with the Central Data & Analytics Organization (CDAO) and the Sell & Deliver Data Team.
- Perform data-to-source mapping activities together with the CDAO Data Modelling Team and subject matter experts.
- Identify and implement innovative approaches for data quality validation within the Project Execution domain.
- Ensure the Data Product Catalog remains updated and aligned with evolving business requirements.
- Promote data literacy and awareness across Vanderlande Service operations.
What you bring:
- Overall 8-10 years of experience, 3–5 years of experience in Data & Analytics.
- Strong collaboration and stakeholder management skills across data producers, architects, engineers, and consumers.
- Exposure to or strong affinity with Service Domain operations in an Agile environment.
- Experience with Data Governance, Data Modelling, Data Analytics, and/or Data Visualization.
- Familiarity with tools and platforms such as:
- Microsoft Azure
- Databricks & Unity Catalog
- Microsoft Purview
- Power BI
- Qlik Sense
- SAFe Agile
- DevOps
- Beginner to intermediate proficiency in SQL and Python/PySpark.
- Ability to quickly understand business processes within Life Cycle Service Delivery and related Vanderlande domains.
- Strong awareness of data consumers, personas, and business needs.
- Ability to proactively improve data literacy within the organization.
About Vanderlande:
Vanderlande makes automated systems that handle baggage at airports and sort parcels in logistics networks around the world. At airports, our technology manages the complete bag journey: from check-in and security screening through to the reclaim belt. In parcel logistics, our systems power the networks that get packages to customers' doors.
At Vanderlande, you will find the space to aspire, to grow, and to achieve something that matters, with people who bring out the best in each other.
Website: www.vanderlande.com
What we offer:
Working at Vanderlande comes with the support and space to grow, achieve, and enjoy the journey. Here is what that looks like in practice:
- Competitive Salary Package
- 30 days of annual leave (pro-rated from the start of the financial year), including:
- 22 paid leave days
- 8 sick/casual leave days
- Applicable government holidays
- Flexible and hybrid working model that promotes work-life balance.
- Access to Vanderlande Academy and a wide range of learning and development programs to enhance your skills
- Comprehensive medical insurance coverage, including parental coverage
- Opportunities to participate in diverse Vanderlande communities, networks, and employee initiatives
- Opportunity to collaborate globally.
How we work
We work by three values: Every day better, We care, and Team play. In practice, this means we drive customer success, lead with transparency, celebrate what we achieve together, and do what we say.
Ready to apply?
Are you interested in this position? Apply directly via our careers page with your CV/Resume.
Diversity & inclusion
Vanderlande is an equal opportunity/affirmative action employer. Qualified applicants will be considered without regards to race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Company at a glance
Vanderlande is the long-term partner of choice for the world’s leading airports and distribution operators – delivering automation solutions, operational software, and lifecycle services that drive performance, reliability, and sustainable growth.
Vanderlande empowers the world’s most demanding airports and distribution operations to move faster, smarter, and more sustainably. As a trusted long-term partner, Vanderlande designs, delivers, and manages end-to-end logistics automation — combining best-in-class mechanical systems with cyber-secure operational software and data-driven services that keep mission-critical infrastructure performing at its peak.
Serving the world’s top 50 airports and the largest parcel and e-commerce distribution networks globally, including partnerships with industry leaders such as UPS, DHL, FedEx, and GeoPost.Vanderlande brings unmatched operational intimacy to every engagement. Customers choose Vanderlande not only for the longevity and reliability of its solutions, but for its proven commitment to project delivery: when challenges arise, Vanderlande leans in.
Founded in 1949 and part of Toyota Industries Corporation, Vanderlande combines seven decades of engineering excellence with a forward-looking approach to digital innovation and sustainability — continually reducing the energy footprint of its systems and making responsible choices across its global supply chain. With nearly 10,000 employees and revenues approaching €3 billion, Vanderlande operates across Europe, the Middle East, North America, and Asia-Pacific, delivering solutions that move people, goods, and possibilities forward.
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