· Lead, coach, and develop data engineers and technical contributors through performance management, career development, prioritization, and effective team operating rhythms.
· Partner with Kaufman Hall and Advisory leadership to understand consulting analytics needs and translate them into governed, executable data solution plans.
· Define and implement governed data access patterns based on user personas, approved datasets, usage boundaries, documentation requirements, and support workflows.
· Translate business and consulting use cases into data personas, access levels, solution patterns, and implementation options, including curated extracts, governed views, Databricks workspaces, dashboards, APIs, natural-language analytics, and reusable analytics assets.
· Design, develop, optimize, and enhance data solutions using Databricks, SQL, and modern cloud data technologies.
· Create and maintain practical data documentation covering table grain, key fields, join guidance, lineage, refresh cadence, retention rules, data-quality limitations, and appropriate-use guidance.
· Partner with Data Governance, data owners, Security, Compliance, Data Engineering, and Analytics teams to identify and mitigate documentation, quality, lineage, access, security, and compliance risks.
· Serve as the accountable technical partner for Advisory data-solution intake, shaping requirements, coordinating execution across data teams, and ensuring delivered solutions are usable, governed, secure, and supportable.
· Convert recurring consulting analytics needs into reusable governed data assets, accelerators, and productizable capabilities while promoting best practices for architecture, governance, quality, security, and operational support.
· Partner with Managed Services, Architecture, Product, and other cross-functional teams to support scalable data pipelines, recurring analytics workflows, AI and advanced analytics use cases, technical documentation, and emerging data capabilities.