Manager, Data Analytics

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Direct enterprise data, analytics, governance, and AI-driven capability delivery within a multifaceted federal technology setting.

• Formulate and execute data governance policies, standards, operational procedures, approval workflows, and accountability frameworks.

• Create and sustain data portfolio management practices, encompassing prioritization, project intake, resource allocation, risk management, milestone tracking, and performance evaluation.

• Spearhead the design and deployment of scalable data architecture, which includes data pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, and data lineage functionalities.

• Establish and uphold data quality benchmarks, validation protocols, data dictionaries, scorecards, issue management workflows, and ongoing monitoring practices.

• Oversee the development of analytics products, dashboards, reports, and visualization tools that offer operational insights and facilitate executive decision-making.

• Facilitate advanced analytics capabilities, such as statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-driven analytics.

• Ensure that data sharing, API integration, and data access models are secure, governed, auditable, and compliant with privacy, cybersecurity, and regulatory standards.

• Collaborate with cybersecurity, engineering, product, and program management teams to ensure alignment of data platforms, applications, integrations, and analytics capabilities with enterprise guidelines.

• Develop reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits for data initiatives.

• Assist with training, documentation, and knowledge transfer to enhance user adoption and the long-term sustainability of data tools, dashboards, and data management practices.

• Track data quality, data usage, access patterns, and analytics adoption to pinpoint risks, improvement opportunities, and operational blind spots.

⛳️ Requirements

• U.S. Citizenship is required due to federal contract stipulations.

• Must possess the ability to obtain and maintain a Federal Public Trust clearance.

• Bachelor’s Degree.

• Over 10 years of experience leading enterprise data, analytics, data governance, data engineering, data architecture, or AI-enabled analytics projects.

• One active certification in data, cloud, analytics, AI/ML, or data governance, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent.

🏝️ Benefits

• Health insurance.

• Retirement plans.

• Paid time off.

• Flexible work arrangements.

• Professional development.