Supply Chain Strategy and Transformation Data Scientist

Position Summary

Our Deloitte Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to deliver holistic performance improvement and digital transformation. Join our team of strategic advisers and architects, differentiated by our industry depth to collaborate with leading solution providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable heart-of-the-business solutions.

Work You'll Do

As a Senior Consultant, Strategy, Growth, and Transformation on the GPS Enterprise Performance-Supply Chain & Network Operations team, you will be responsible for:

• Analyzing logistics and maintenance operations, business processes, and system landscapes to identify gaps, dependencies, reconciliation issues, and opportunities for improvement
• Gathering and documenting business, operational, and technical requirements and translating ambiguous needs into process, data, and integration designs
• Designing logical data models, source-to-target mappings, data-quality rules, and reconciliation frameworks to support integrated operational reporting and decision-making
• Developing, integrating, testing, and supporting machine-learning and analytics solutions using Python, SQL, and enterprise, cloud, or big-data environments
• Building or overseeing data pipelines, transformations, dashboards, and analytical products that improve operational visibility and technology-enabled outcomes
• Leading workstreams and delivering project artifacts while collaborating across Deloitte and client teams to support delivery, solution development, and coaching of junior practitioners

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

• Bachelor's degree
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Active Secret security clearance required
• 5+ years of professional experience in a combination of supply chain, logistics, data analytics and data engineering
• 2+ years experience in logistics and maintenance processes, systems, and data in complex enterprise or asset-intensive environments
• 2+ years experience in developing or integrating technical solutions using Python and SQL in enterprise, cloud, or big-data environments
• Ability to travel 0-30%, on average, based on the work you do and the clients and industries/sectors you serve

• Experience supporting federal, state, or local government clients
• Experience with source-to-target mapping, data-quality rules, lineage, and exception handling across integrated data environments
• Experience building data pipelines, transformations, or analytical products in cloud-based or enterprise data platforms
• Experience producing architecture artifacts, technical specifications, test plans, or executive briefings