Providence - Principal Engineering Program Manager - Analytics & Data Engineering

Role Overview :

We are seeking a Principal Engineering Program Manager (EPM/TPM) to lead enterprise-scale Data Engineering, Analytics, and Platform Modernization programs.

This role owns end-to-end program delivery for complex data initiatives spanning Azure Data Factory (ADF), Databricks, Microsoft Fabric, Azure Synapse, Snowflake, Power BI, and Streamlit-based data applications.The Program Manager partners closely with Data Engineering, Analytics, Cloud, Security, Product, and Business stakeholders to drive predictable execution, manage cross-team dependencies, mitigate risk, and ensure delivery of scalable, reliable, and business-ready data platforms.

Key Responsibilities :

Program & Stakeholder Management :

- Drive end-to-end data engineering and analytics programs from planning through execution and closure

- Establish program governance, operating cadence, dependency tracking, and executive decision forums

- Manage dependencies across data engineering, analytics, cloud platform, security, product, and business teams

- Own program plans, milestones, risks, issues, mitigations, and executive communications

- Prepare and present status, risks, metrics, and outcomes to senior and executive leadership

- Balance platform reliability, scalability, cost, and data quality with engineering velocity and business priorities

Data Engineering & Platform Responsibilities :

- Lead delivery of- modern data platform initiatives, including : Cloud-based data ingestion, transformation, and serving layers

- Enterprise data warehouse and lakehouse implementations

- Platform standardization and technical debt reduction

- Partner with engineering teams to deliver solutions using : Azure Data Factory (ADF) for orchestration and ingestion

- Databricks for large-scale data processing, transformations, and advanced analytics

- Azure Synapse and/or Snowflake for enterprise data warehousing Microsoft Fabric components where applicable (OneLake, Data Engineering, Data Warehousing)

- Ensure data pipelines are scalable, resilient, observable, and cost-efficient

- Drive adoption of data engineering best practices across testing, CI/CD, monitoring, documentation, and lineage

Analytics, BI & Data Consumption :

- Drive- Power BI platform and analytics enablement programs, including : Semantic models and dataset standardization

- Report and dashboard performance optimization

- Capacity planning, refresh reliability, and governance

- Partner with analytics and business teams to enable self-service BI and trusted reporting

- Support development and rollout of data applications and analytical tools using Streamlit

- Act as a bridge between data producers and data consumers, ensuring usability, adoption, and measurable business impact

- Define and track value realization metrics for analytics and BI initiatives

Migrations & Modernization :

- Lead- legacy-to-cloud data platform migrations, including : On-prem or legacy data warehouses to Synapse / Snowflake / Fabric

- Legacy ETL tools to ADF + Databricks based architectures

- BI and reporting modernization to Power BI

- Own migration planning, sequencing, parallel runs, cutover strategy, and decommissioning

- Proactively identify and mitigate data correctness, performance, and business continuity risks during migrations

Cloud, Governance & Risk :

- Manage data programs in- Azure-first and hybrid cloud environments

- Partner with security, privacy, and governance teams to ensure : Data access controls and role-based security

- Compliance with internal standards and regulatory requirements (as applicable)

- Track and reduce data quality issues, pipeline failures, SLA breaches, and platform risks

- Drive closure of audit findings, operational gaps, and platform reliability issues

Required Qualifications :

- 9+ years of experience in Program Management / Technical Program Management / Engineering Program Management

- Strong understanding of modern data engineering and analytics architectures

- Proven experience delivering enterprise-scale data platform programs

- Hands-on familiarity with : Azure Data Factory (ADF)Databricks Azure Synapse and/or Snowflake, Microsoft Fabric (preferred, Power BI)

- Strong grasp of data pipelines, ELT/ETL concepts, orchestration, and analytics consumption patterns

- Excellent stakeholder management and executive communication skills

- Experience working with distributed, global engineering and analytics teams

Preferred / Nice-to-Have :

- Experience with- Streamlit or data application frameworks

- Familiarity with data observability, lineage, and governance tooling Certifications such as PMP, SAFe, Azure Data / Analytics certifications

Success in This Role Looks Like :

- Predictable delivery of complex, multi-platform data programs

- Stable, scalable, and cost-efficient Azure-based data platforms

- High adoption of Power BI and analytics assets by business users

- Clear executive visibility into program health, risks, and outcomes

- Strong trust and partnership with engineering, analytics, and business leadership