Clarkston Consulting
Jobs at Clarkston Consulting
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Recently posted jobs
Other • Consulting
Lead supply chain planning transformation engagements for Life Sciences and Consumer Products clients, designing future-state processes, implementing planning solutions (demand, supply, inventory, S&OP/IBP), facilitating workshops, defining KPIs, mentoring junior staff, and supporting business development and adoption activities.
Other • Consulting
Lead end-to-end supply chain planning transformations for global life sciences clients, advising executives on S&OP/IBP strategy, designing future-state processes and KPIs, overseeing planning solution implementations, facilitating executive workshops, mentoring consulting teams, and supporting business development and proposal efforts.
Other • Consulting
Configure and validate LIMS modules (assay development, sample management, stability, analytical testing), develop scripts for automation and instrument integrations, produce project documentation and demos, ensure GxP/21 CFR Part 11 compliance, and collaborate with scientists, QA/CSV, and IT across deployments.
Other • Consulting
Lead SAP EWM implementations: gather requirements, design and configure EWM and integrations, develop custom reports, provide technical support and training, scope engagements, and guide consultant teams. Travel averages 30–50% to client sites.
Other • Consulting
Lead design, architecture, and deployment of SAP FICO solutions. Gather and document business requirements, configure FICO modules and integrations, develop custom reports, lead consultants and client personnel, provide technical support and training, and assist with engagement scoping and proposals.
Other • Consulting
Lead delivery of SAP Master Data Governance (MDG) implementations—scoping, requirements, design, configuration, testing, go‑live and post‑go‑live support—primarily within S/4HANA environments. Design and extend MDG solutions and governance models, integrate data management components, and communicate recommendations to technical and business stakeholders across client engagements.
Other • Consulting
Lead SAP PP implementations: guide consultants and client teams, run analysis and design sessions, design/configure SAP PP and integrations, develop custom reports, provide technical support and training, and help scope proposals and engagements.
Other • Consulting
Lead and deliver Databricks-based data engineering solutions on cloud platforms. Design, build, and optimize large-scale data pipelines and ETL; mentor engineers; collaborate with product, data, and design stakeholders; implement process improvements and monitoring; support analytics and data science initiatives. Role requires frequent client travel and consulting delivery.
Other • Consulting
Lead SAP MM implementations: guide consultants and client teams, run analysis and design sessions, design/configure SAP MM and integrations, oversee custom reporting, provide technical support and training, and help scope engagements and proposals for clients across life sciences, consumer products, and retail.
Other • Consulting
Lead design and deployment of Veeva quality systems for life sciences clients: configure Veeva Vault and RIM, run requirements workshops, prototype and document QMS/content solutions, validate systems for GMP, create/revise SOPs, train end users, manage project plans, and mentor junior analysts.
Other • Consulting
Lead SAP SD implementations by designing, configuring, and integrating Sales & Distribution solutions. Guide project teams, run analysis and design sessions, develop custom reports, provide technical support and training, and assist with scoping and proposals for clients across life sciences, consumer products, and retail.
Other • Consulting
Design and deliver enterprise Power BI dashboards, reports, and semantic models. Gather requirements, prototype, iterate with stakeholders, productionize solutions (testing, security, administration), mentor junior consultants, and align visualizations to business objectives and user needs.
Other • Consulting
Design and lead scalable data platforms and architectures (cloud and on-prem), build data lakes/warehouses, enable DaaS via REST APIs, mentor engineers, translate business goals into technical solutions, and support governance and integration across stakeholders.



