We are seeking a skilled and business-savvy Data Translator to bridge the gap between our supply chain operations and data engineering teams. This role will be pivotal in translating complex business needs into actionable data requirements, ensuring that supply chain stakeholders can leverage high-quality data to drive decisions and performance.
What will you be doing
Strategy
- Act as the primary liaison between supply chain stakeholders and data teams, ensuring alignment of data products with operational goals.
- Shape the data strategy for supply chain use cases, focusing on critical business outcomes such as inventory optimization, demand forecasting, and supplier performance.
- Champion the adoption of data-driven decision-making across supply chain functions.
Design
- Translate supply chain business processes and challenges into clear data requirements and use cases.
- Collaborate with data architects, engineers, and supply chain SMEs to design scalable and efficient data solutions.
- Recommend improvements to existing analytics and reporting tools to enhance usability and impact.
Execute & Govern
- Ensure timely and accurate delivery of supply chain data products by coordinating with vendor teams and internal stakeholders.
- Support the implementation of a Agile model for continuous delivery and improvement of data services.
- Oversee the health and performance of supply chain analytics initiatives, ensuring alignment with business needs.
- Define and validate data requirements, use cases, and testing protocols for supply chain datasets.
- Lead efforts to establish robust data quality processes and secure stakeholder sign-off on deliverables.
Communicate & Train
- Conduct training sessions and workshops to help supply chain teams understand and utilize data tools effectively.
- Develop documentation that explains data lineage, access methods, and business relevance.
- Maintain ongoing communication with stakeholders to ensure transparency and engagement throughout project lifecycles.
What will you need to be successful
- Bachelor s or Masters degree in a quantitative field such as statistics, data engineering, business analytics, information systems, or supply chain management.
- Should have a min of 7-10 years of relevant experience in the field of Data and Business Engagement.
- Strong understanding of supply chain processes/domain and KPIs is needed.
- Proven ability to translate business needs into technical requirements and collaborate across functions.
- Strong understanding of Data Analysis, Business Analysis along with SAP is required.
- Experience with cloud data platform s (e.g., Snowflake, AWS ) and Data Visualization tools is a plus.
- Excellent business communication is needed.
- Experience with AI & Data and a thought leadership is advantageous.
Competences:
- Collaborative Leadership: Demonstrates strong teamwork and leadership aptitude, fostering alignment across supply chain, data, and technology teams.
- Analytical Thinking : Excels in problem-solving and critical thinking, with the ability to translate complex supply chain challenges into actionable data insights.
- Influence & Communication: Communicates effectively with diverse stakeholders, using clear and compelling verbal, written, and visual storytelling to drive consensus and adoption.
- Initiative & Adaptability : Proven self-starter who thrives in dynamic environments, managing multiple priorities while adapting to evolving business needs and timelines.
- Quality & Accountability : Maintains a positive attitude and a strong commitment to delivering high-quality, reliable data solutions that meet business objectives.
- Documentation & Presentation: Skilled in creating documentation and presentations that clearly convey data lineage, access methods, and business relevance.
- Change Enablement: Builds trust and collaboration during the transition from on-premises systems to cloud-based architectures, supporting stakeholders through the migration journey.
- Cross-Functional Partnership: Works seamlessly with technology teams, supply chain leaders, and external partners to deliver impactful data products and services.
- Travel Requirements: 10 25%
