Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
19 hours ago
SAFeScrumPMP
Job Description
Job Role: Technical Program Manager
Location: Canada/USA - REMOTE
No of position: 1
Exp. Start date: 1 st week of September
Year of Experience: 15+ years
Type: Fulltime/Contract
Job Overview
We are looking for a Technical Program Manager to lead an end-to-end Data Warehouse Performance Improvement Program. The ideal candidate should have strong technical understanding of data pipelines, ETL/ELT, SQL, data warehouse architecture, and performance optimization, along with proven program management experience.
Key Responsibilities
- Own end-to-end delivery of data warehouse performance improvement initiatives.
- Manage program plans, milestones, dependencies, critical paths, and resources.
- Coordinate across source systems, data platforms, and Scrum teams.
- Drive performance tuning across SQL, ETL/ELT jobs, batch processing, and large-volume data workloads.
- Manage scope, budget, resource utilization, change requests, and delivery tracking.
- Lead governance, risk/issue management, leadership reporting, stakeholder communication, and escalations.
Required Skills
- Strong Technical Program Management experience, preferably with data/analytics programs.
- Good understanding of data ingestion, ETL/ELT, data pipelines, batch jobs, SQL, and data warehouse architecture.
- Experience with SQL and data warehouse performance tuning.
- Strong program planning, dependency, risk, scope, and resource management skills.
- Experience coordinating multiple technical teams and stakeholders.
- Excellent communication, governance, and executive reporting skills.
Preferred Skills
- Experience managing large-scale data warehouse modernization or performance improvement programs.
- Knowledge of cloud data platforms such as Snowflake, Databricks, Azure, or AWS.
- Experience with high-volume data processing and batch optimization.
- PMP, PgMP, SAFe, or similar certification.
- Experience in Insurance, Financial Services, or other data-intensive industries.
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