Data Strategy / Data Management Consultant

• Evaluate data readiness for quoting and S&OP across six dimensions: inventory/lineage, quality, structure/access, definitions/standards, governance, and gap/roadmap

• Deliver a data-readiness assessment report, a detailed data inventory and lineage map, and a prioritized remediation roadmap with effort/cost estimates

• Write an executive summary and forward-looking recommendations that chart a path to future AI use cases

• Author precise remediation specifications for every prioritized gap, including: correction rules, systems of record, and acceptance criteria

• Build the governance model from the ground up by named owners and stewards, standards, controls, and a review cadence

• Produce practical runbooks and train client staff to run them independently, while guiding the first remediation sprint hands-on

• Demonstrated ability to independently extract data from SAP S/4HANA (hands-on with tables, CDS views, and master data objects)

• Deep fluency in manufacturing data: product/material master, BOMs, routings, and costing; paired with strong SQL skills for profiling and remediation

• Proven track record writing clear, actionable remediation instructions, with real evidence of capability transfer

• 8+ years of hands-on delivery experience in data management, data quality, or data architecture; this is a builder’s role, not a purely advisory one

PREFERRED SKILLS

• Python fluency (or comparable tooling) to take data profiling and analysis beyond what SQL alone can do

• Track record standing up data governance that people actually adopted

• Equal credibility on the plant floor and in the boardroom - skilled at running workshops and interviews that get straight answers