The ideal candidate will bring a blend of hands-on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.
RESPONSIBILITIES:- Lead and manage offshore teams delivering supply chain analytics.
- Be able to think from client's business standpoint aligning all program executions to right business outcomes or aligned to business needs
- Bring in domain construct to the tech teams and help them understand/apply it
- Augment the BAs and Architects in discussions/conversations with domain knowledge
- Advisor to client and guide to TA/Vendor/Partner team in Supply Chain domain related info
- Proactively think through what could be effective as an org to implement/augment during separation process to enhance its capabilities as a new MedTech company
- Act as a bridge between business stakeholders and technical teams to ensure alignment on goals and deliverables
- Guide and mentor teams of business analysts and data professionals to deliver high-impact solutions
- Architect and design scalable data analytics frameworks and solutions
- Apply advanced analytics techniques (Machine Learning, AI, Optimization, Operations Research) to solve business problems
- Work with large datasets to extract, transform, and structure data using SQL and related tools
- Translate complex analytical outputs into clear, actionable insights for business stakeholders
Requirements- 12-17 years of industry experience, with at least 8 years specifically in the Supply Chain functional domain.
- Must be the main person leading client discussions, able to speak the business lingo fluently.
- Should be very thorough in Supply Chain subdomains and MUST have worked in DnA programs
- Strong Supply Chain background with exposure to Demand Planning, Supply Planning, Shipping, and Inventory Management
- Strong project and team leadership skills, with experience driving end-to-end delivery across global, cross-functional teams
- Strong foundation in statistical methods and machine learning, with the ability to analyze complex datasets and generate actionable insights
- Proven ability to structure ambiguous business problems into clear, data-driven analytical frameworks
- Strong hands-on expertise in Python and SQL
- Experience with data visualization tools such as Power BI
BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
