Data Delivery Manager/ IT Delivery Manager

Coforge; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Coforge is seeking a Data Delivery Manager/IT Delivery Manager in San Francisco, hybrid work arrangement (3 days onsite). The role focuses on bridging data engineering with business strategy, ensuring pipelines, transformations, and analytics projects are timely, scoped, and aligned with business goals.

The candidate will work with Snowflake, Databricks, Airflow, and other data platforms, translating business requests into data contracts, while managing governance and cloud cost efficiency.

Qualifications

• Needs strong data governance, data lifecycles, and technical data infrastructure knowledge.
• Proficiency with cloud data platforms, data modeling, and orchestration frameworks.
• Ability to translate business requests into data contracts and technical deliverables.
• Experience managing data pipeline latency, downtime, and testing coverage.

Responsibilities

• Own end-to-end delivery of data projects including data warehouses and ETL/ELT pipelines.
• Lead Agile ceremonies and ensure timely project execution.
• Coordinate cross-functional teams: Data Engineers, Data Scientists, DBAs, BI Developers.
• Act as liaison between business stakeholders and technical teams; translate requirements.
• Provide regular project status updates and manage stakeholder expectations.
• Ensure governance, security compliance, access controls, and data quality.
• Establish and oversee testing processes to ensure data accuracy and reliability.
• Identify and mitigate risks related to data integration and platform dependencies.
• Manage cross-team dependencies and cloud infrastructure spend across platforms.

Skills

Technical Competency

Data Literacy

Data-Centric Delivery

Agile Delivery

Stakeholder Management

Governance & FinOps

RBAC & Compliance

Data Quality & Testing

Tools

Snowflake

Databricks

Airflow

Azure Data Factory

AWS Step Functions

Data Vault

Star Schema

Job description

Job Title: Data Delivery Manager/ IT Delivery Manager

Location: SFO, CA(Hybrid – 3 days a Week Onsite)

A Data Delivery Manager bridges the gap between data engineering and business strategy, ensuring that data pipelines, data transformation projects, and analytics solutions are delivered on time, within scope, and aligned with organizational goals. Unlike a traditional IT delivery manager, they must possess a specialized understanding of data governance, data lifecycles, and technical data infrastructure.

Core Skills

• Technical Competency & Data Literacy: Moves beyond standard IT knowledge to detail specific fluency requirements in Cloud Warehouses & Lakes (Snowflake, Databricks), Data Modeling (Star Schemas, Data Vault), and orchestration frameworks (Azure Data factory, AWS Step Functions, Apache Airflow).
• Data-Centric Delivery & Agile Execution: Explains the distinct skills needed to handle data volatility (schema drift, API breakage) and manage specialized metrics like data pipeline latency, processing downtime, and testing coverage.
• Stakeholder Management & Bidirectional Translation: Details the mechanics of translating ambiguous commercial requests into rigid data contracts and technical engineering requirements while handling reporting transparency with executive stakeholders.
• Governance, Compliance & Cloud FinOps: Elaborates on implementing Role-Based Access Controls (RBAC), row/column masking policies under GDPR/CCPA, and monitoring variable, scaling compute costs to enforce structural financial efficiency

Key Responsibilities:

• Own end-to-end delivery of data projects, including data warehouse migrations, ETL/ELT pipelines, and BI/reporting initiatives.
• Lead Agile ceremonies (sprint planning, stand-ups, retrospectives) and ensure timely project execution.
• Manage and coordinate cross-functional teams including Data Engineers, Data Scientists, DBAs, and BI Developers.
• Act as the primary liaison between business stakeholders and technical teams, translating requirements into actionable deliverables.
• Provide regular project status updates and manage stakeholder expectations.
• Ensure data governance, security compliance, access controls, and data quality standards are maintained.
• Establish and oversee testing processes to ensure data accuracy, completeness, and reliability.
• Identify and mitigate project risks related to data integration, source systems, APIs, and platform dependencies.
• Manage cross-team dependencies and ensure seamless delivery across data ecosystems.
• Track project budgets, vendor costs, and optimize cloud infrastructure spending across platforms such as AWS, Snowflake, and GCP.