Data Management SME

POSITION TITLE:Data Management SME LOCATION: Remote CLEARANCE:Must be able to obtain aHigh-RiskPublic Trust COMPANY OVERVIEW At APV,weremore than a technology company werea mission-driven powerhouse transforming organizations through advanced technology and human ingenuity.

Ourexpertisespans AI/ML, data architecture, low-code/no-code development, AgileDevSecOps, and cloud services, delivering scalable and meaningful solutions.

In our Emerging Technology Lab, innovation drives progress.

Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms.

Ifyourepassionate about solving complex challenges and shaping the future, APV is the place for you.

Since 2007,wevepartnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes.

Built on accountability, integrity, and quality, we go beyond expectations.With 70+ prime contracts and a proven record of client success, APV continues to grow andwerelooking for exceptional talent to grow with us.

At APV, we Always Provide Value POSITION SUMMARY Seeking a mission-driven Data Management SME to lead the data architecture, governance, and analytics capabilities of a large-scale federal health care platform that manages value-based care model data end to end.

You will own how model, quality, and claims data are ingested, validated, shared, and surfaced to analysts and program staff across a cloud-native Snowflake, Databricks, and Tableau environment.

This is a hands-on technical leadership role on a SAFe Agile team operating on Program Increment (PI) cadence.

DUTIES Lead data architecture, governance, quality, and interoperability initiatives supporting enterprise data environments.Design and maintain data models, ETL/ELT workflows, integration patterns, and data management standards.Support enterprise data exchanges, APIs, reporting solutions, analytics environments, and self-service data access capabilities.Establish metadata standards, data lineage documentation, master/reference data controls, and data dictionaries.Lead data validation, reconciliation, monitoring, analytics, and data quality improvement activities.Support cloud-native data platforms, AI/ML readiness, dashboards, reporting, and advanced analytics initiatives.Collaborate with architects, engineers, business stakeholders, and data consumers to improve enterprise data accessibility and usability.Design and operate near-real-time data shares against an enterprise Snowflake data repository, and build automated ingestion and validation pipelines that eliminate manual data entry and reconciliation.Lead data engineering on Databricks, including transformation, curation, and AI/ML data readiness for downstream analytics and reporting.Partner with dashboard developers to make Tableau and self-service analytics products accurate, performant, and trusted by non-technical program users.Define and enforce data...