Vice President, Strategy Lead for Data Development Lifecycle (DDLC)

JPMorgan Chase

Quick summary

Work type: On-site
Location: New York, NY
Salary: $128,250–$205,000 / yr
Posted: 11 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k

This role $167k

$119k most similar roles pay here $214k

This role pays more than 52% of similar roles. Most pay $151,500–$192,125 — the shaded band above. At the midpoint, this role pays about $167k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 385 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 203 roles with salary data.

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At a glance

TL;DR · Vice President, Strategy Lead for Data Development Lifecycle (DDLC)

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The Vice President – Strategy Lead for Data Development Lifecycle is a senior role within the Chief Data Office at JPMorgan Chase & Co., focusing on enhancing data and AI development practices across the firm. This position involves defining and driving adoption of best-practice standards, reference patterns, and user-centric workflows to ensure efficient and secure data product lifecycle management from ideation through production. Key responsibilities include partnering with various stakeholders to establish scalable development environments, automating controls-by-design, and facilitating cross-functional collaboration to mitigate risks and improve operational efficiency. The ideal candidate should have extensive experience in financial services or large-scale technology transformations, along with strong technical proficiency in modern data platforms, analytics, and engineering practices. This role demands expertise in influencing diverse groups without direct authority and the ability to communicate complex concepts effectively at an executive level.

Skills

Python Java Kubernetes Docker CI/CD Terraform AWS Azure PostgreSQL Snowflake Git Jenkins Ansible Prometheus Grafana Apache Kafka Airflow DevOps Scrum

What you'll do

Define and improve the target-state data development lifecycle across all stages.
Establish secure reference architectures for controlled development environments.
Drive adoption of lifecycle-enabling platforms through clear product requirements.
Embed controls-by-design into the lifecycle with automation-first approaches.
Facilitate cross-functional working groups to remove execution friction.
Produce executive-ready materials to communicate complex concepts and drive decisions.

What we're looking for

At least eight years of experience in financial services or large-scale data transformation
Strong technical fluency across data analytics, science, engineering, and modern platforms
Experience driving cross-functional operating model changes and scaling adoption
Demonstrated ability to influence stakeholders without direct authority
Practical knowledge of data product concepts and distributed data patterns
Experience improving lifecycle capabilities for continuous integration and delivery
Strong communication skills for executive-level technical topics