Enterprise Data & AI Lead

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

📋 Description

• Oversee the delivery of enterprise data, analytics, governance, and AI-enabled capabilities within a complex federal technology landscape.

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

• Develop and sustain data portfolio management practices, encompassing prioritization, project intake, resource planning, risk tracking, milestone reporting, and performance measurement.

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

• Set and uphold data quality standards, validation rules, data dictionaries, scorecards, issue management workflows, and continuous monitoring processes.

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

• Enhance advanced analytics capabilities, including statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics.

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

• Collaborate with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards.

• 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 long-term sustainability of data tools, dashboards, and data management practices.

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

⛳️ Requirements

• Bachelor's Degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline.

• 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.

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

• More than 8 years of experience in designing, implementing, or managing enterprise data platforms, including data pipelines, data warehouses, data lakes, data marts, data catalogs, or metadata management capabilities.

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

• Must be eligible to obtain and maintain a Public Trust clearance.

• At least 5 years of experience in establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models.

• A minimum of 5 years of experience in delivering analytics products, dashboards, reporting capabilities, data visualizations, or tools for executive decision-making support.

• More than 5 years of experience in federal, public sector, healthcare, life sciences, or other regulated environments with formal privacy, security, or compliance mandates.

• At least 3 years of experience in supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics applications.

• A minimum of 3 years of experience with data integration techniques, including APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture.

• At least 3 years of experience utilizing data visualization, analytics, or business intelligence tools such as Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or comparable platforms.

• A minimum of 3 years of experience with cloud data services on AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments.

• Experience in supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments.

• Experience in building or supporting Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations.

• Familiarity with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging requirements.

• Knowledge of aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks.

• Experience in developing data catalogs, metadata management strategies, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows.

• Experience in implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics.

• Proficiency in SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools.

• Additional certifications in cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management are a plus.

🏝️ Benefits

• Equal opportunity employer.

• Reasonable accommodations for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs.

• Confidential accommodation support available.

• Benefits information is provided under the Transparency in Coverage Act.