Jobs at Clarkston Consulting

Lead SAP EWM implementations, guiding consultants and clients through requirements analysis, solution design, configuration, custom reporting, integrations, technical support, training, and proposal development. The role requires expertise across at least three full-lifecycle SAP EWM implementations, team leadership, strong analytical and communication skills, client-service orientation, and willingness to travel 30–50%. Consultants work from home when not visiting client sites.

Designs and develops scalable cloud-based data platforms and architectures for consulting clients. Translates business objectives into technical solutions, supports data warehousing, business intelligence, master and reference data management, and develops Big Data platforms using Azure or AWS. Leads client initiatives, establishes architectural governance, creates system diagrams, collaborates with stakeholders and vendors, and mentors data architects and engineers.

Designs, architects, configures, and deploys SAP FICO solutions for clients. Leads business process reviews, requirements gathering, solution design, customized reporting, training, and implementation efforts. Guides consultants and client teams, supports proposals and engagement scoping, and provides finance process expertise and technical support. Requires extensive SAP FICO experience, including three full-lifecycle projects, team leadership, strong analytical and communication skills, and willingness to travel 30–50%.

Lead SAP PP implementations for client organizations, guiding consultants and client personnel through requirements analysis, solution design, configuration, integration, reporting, technical support, and training. Support engagement scoping and proposal development while contributing to project execution and client relationships. The role requires at least three full-lifecycle SAP PP implementations, team leadership, strong analytical and communication skills, adaptability, and 30–50% travel.

Lead client-facing data engineering initiatives, designing scalable data pipelines, architectures, models, and schemas. Translate business requirements into technical solutions, optimize data delivery and automation, mentor engineering teams, and support project planning, proposals, estimation, and solution delivery. Work with technologies including Databricks, Spark, Snowflake, Airflow, Kafka, cloud services, SQL, and programming languages such as Python, Scala, Java, and C++. Travel averages 30–50%, with home-office work when not at client sites.