Data engineering program manager

Job Description Must Have Technical/Functional Skills

• Snowflake:
  Data Warehousing, Snowpark, Data Sharing, Performance Optimization, Security & Governance.
• Databricks:
  Lakehouse Architecture, Delta Lake, Unity Catalog, Spark / PySpark, ML & AI workloads.
• Cloud Platforms: AWS preferred;
  Azure and GCP exposure beneficial.
• Data Engineering Technologies:
  Python, SQL, DBT, Airflow, ETL/ELT frameworks, API integration.
• Data Management:
  Data Modeling, Data Governance, Master Data Management, Data Quality.

• PMP, PgMP, SAFe Program Consultant, or SAFe Agilist certification.
• Snowflake certification and/or Databricks certification.
• AWS/Azure Solution Architect certification.
• Experience leading AI/GenAI-enabled data programs.
• Experience with healthcare compliance requirements such as HIPAA, GxP, and FDA-regulated environments.

• Lead end-to-end delivery of enterprise data engineering and analytics programs.
• Define program roadmap, milestones, dependencies, risks, and governance structures.
• Manage multiple concurrent projects spanning data ingestion, transformation, warehousing, analytics, and AI/ML initiatives.
• Drive executive-level status reporting and steering committee governance.

• Partner with business and IT leaders to define enterprise data strategies leveraging Snowflake and Databricks.
• Oversee platform modernization, data lakehouse, and cloud migration initiatives.
• Ensure alignment between business objectives, architecture standards, and technology roadmaps.

• Coordinate global teams of architects, data engineers, cloud engineers, analysts, and product owners.
• Manage Agile delivery across multiple work streams.
• Track program KPIs including schedule, financials, quality, productivity, and business outcomes.
• Ensure successful transition from project implementation to steady-state operations.

• Serve as the primary liaison between business leaders, data teams, architecture groups, and external partners.
• Facilitate steering committee reviews and executive presentations.
• Drive decision-making and issue resolution across organizational boundaries.

• Ensure compliance with enterprise data governance standards.
• Oversee data quality, metadata management, security, privacy, and regulatory requirements.
• Drive adoption of data cataloging and lineage frameworks.

• Manage program budgets and forecasts.
• Oversee vendor performance and contractual deliverables.
• Track business value realization and ROI for data initiatives.

• Identify opportunities to leverage AI/GenAI, automation, and advanced analytics.
• Promote engineering best practices and operational excellence.
• Drive platform optimization, Fin Ops, and cost governance initiatives.

• Program delivery within budget and schedule.
• Business value realization from data initiatives.
• Data platform adoption and user satisfaction.
• Reduced time-to-insight and improved analytics capabilities.
• Improved platform reliability, scalability, and cost efficiency.
• Successful governance and regulatory compliance adherence.

$150,000 -$180,000 year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & amp;
  Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

BACHELOR OF COMPUTER SCIENCE