Senior Manager - Data Engineering-Data Architecture

About the role

The Supply Chain (SC) Data Strategy Consultant is Bristlecone's Data & AI. This role leads the SC Data Strategy offering end-to-end: conducting maturity assessments, building Data & AI architecture blueprints, and delivering executable roadmaps that position clients to adopt GenAI and Agentic AI across their SC operations. Beyond direct delivery, each engagement generates qualified pipeline for the broader offering portfolio while embedding Bristlecone as the client's trusted SC Data & AI partner.

Responsibilities

• Lead SC Data Strategy engagements end-to-end — from stakeholder discovery and maturity assessment through SC Data & AI architecture blueprint, implementation roadmap, governance model, and delivery plan
• AI-first framing: Engage CXO audiences on SC data strategy for AI enablement, platform investment decisions, and implementation roadmap prioritization — framing every data investment in terms of the AI outcomes it unlocks
• AI use case identification: Identify and prioritize Classical AI, GenAI and Agentic AI use cases within each client's SC program — demand sensing copilots, autonomous supply exception management, AI-powered supplier onboarding, and intelligent SC reporting
• AI-ready architecture: Design Data & AI architecture blueprints that set the foundation for Agentic AI adoption — ensuring platform choices, data product designs, feature store architectures, and governance models are AI-ready from day one
• Build and continuously enrich Bristlecone's proprietary SC data maturity benchmark database from anonymized engagement outputs — the hard-to-replicate asset that differentiates Bristlecone from other firms
• GenAI in delivery: Leverage GenAI tooling actively in your own delivery workflow — AI-assisted maturity assessment synthesis, LLM-powered roadmap generation, and AI-augmented stakeholder interview analysis to compress delivery timelines
• Conduct SC regulatory applicability assessments across CSRD, EUDR, UFLPA, and CBAM as part of the governance model deliverable
• Contribute to offering IP development — refining the assessment methodology, benchmark scoring model, and deliverable templates based on engagement experience; building AI evaluation criteria into the SC data maturity framework
• Support GTM initiatives: contribute to proposals, present at C-suite client workshops, and represent Bristlecone at key industry events as needed
• Mentor and develop SC Data Architecture Consultants and Data Governance Consultants within the Strategy & Advisory cluster — specifically on AI-augmented delivery practices

Requirements

• 8-12 years of experience in supply chain, SC analytics, or SC data — with a track record spanning both strategy and execution, not advisory alone
• Prior seniority as an SC data