VP, Senior Data Engineering Manager (L14)

Role Summary

Key Responsibilities

• Provide vision and strategic direction for data engineers delivering modern data pipelines, models, and products.
• Lead cloud data transformation and migration initiatives and define target-state engineering standards.
• Drive AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous improvement.
• Advance practices for ingestion, transformation, data quality, metadata, lineage, observability, orchestration, deployment, protection, and consumption.
• Oversee data models and testing practices that enable trusted, secure, usable enterprise data.
• Partner with technology, business, risk, governance, and compliance stakeholders to mitigate risk and meet regulatory expectations.
• Champion SAFe agile delivery across multiple priorities, projects, and release trains.
• Develop, coach, and retain a high-performing team through career growth, inclusive leadership, and succession planning.

Required Skills and Experience

• Bachelor's degree and at least 12 years of IT experience, or at least 14 years of IT experience in lieu of a degree.
• At least 5 years of data engineering experience leveraging public cloud capabilities.
• At least 7 years of experience in a large, complex organization.
• At least 9 years of experience leading enterprise-scale data engineering delivery.
• Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders.

Desired Skills and Experience

• Experience building consumer-focused data pipelines and products with ownership, documentation, data contracts, quality controls, and support for varied use cases.
• Experience with cloud transformation and data application migration using AWS public cloud services.
• Familiarity with AWS, Redshift, Snowflake, Kafka, Hadoop, Oracle, AbInitio, Spark, Python, SageMaker Studio, and SAS is preferred.
• Experience leading complex technology programs and functional teams.
• Knowledge of agile development, testing practices, engineering lifecycle, and delivery execution.
• Experience in financial services, banking, credit, payments, or another highly regulated industry is preferred.

Work Timings

• The role requires flexibility for an overlap between Eastern Time and India Standard Time.
• The required meeting window is 06:00 AM to 11:30 AM Eastern Time, with remaining hours flexible subject to business needs.

Company and Organization

Role Classification