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Vp Data Management Jobs (NOW HIRING)

VP, Data Engineering

Los Angeles, CA ยท On-site

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Manage operating budgets and resources effectively, ensuring financial accountability and ...

VP, Data Engineering

Los Angeles, CA ยท On-site

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Manage operating budgets and resources effectively, ensuring financial accountability and ...

VP, Data Engineering

San Francisco, CA ยท On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Manage operating budgets and resources effectively, ensuring financial accountability and ...

Leadership & Team Management - Build and scale a high-performing data engineering organization ... prior VP / Head of Data Engineering scope (or equivalent) * Proven ownership of data systems ...

Showing results 41-60

Vp Data Management information

See salary details

$31K

$97.1K

$172K

How much do vp data management jobs pay per year?

As of Sep 5, 2026, the average yearly pay for vp data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a VP of Data Management do?

A VP of Data Management oversees the strategy, governance, and operations related to an organization's data assets. They are responsible for ensuring data quality, privacy, and security, as well as implementing policies for managing data throughout its lifecycle. This role involves coordinating with other departments to align data initiatives with business goals, leading data teams, and adopting new technologies to enhance data usage. Ultimately, the VP of Data Management helps organizations make informed decisions by maximizing the value of their data.

What are some typical challenges a VP of Data Management faces when implementing data governance across departments?

A VP of Data Management often encounters challenges in standardizing data practices across diverse departments, each with their own processes and priorities. Aligning stakeholders on the value of data governance, ensuring data quality, and managing data privacy regulations can require extensive communication and negotiation. Building a culture of data stewardship and integrating new technologies with legacy systems also pose ongoing challenges. Successful VPs address these by fostering cross-functional collaboration and providing clear, strategic direction.

What are the key skills and qualifications needed to thrive as a VP of Data Management, and why are they important?

To thrive as a VP of Data Management, you need deep expertise in data governance, analytics, and strategy, usually backed by an advanced degree in data science, computer science, or a related field. Familiarity with data management platforms (like Informatica or Collibra), cloud technologies, and relevant certifications such as CDMP are highly valued. Exceptional leadership, communication, and stakeholder management skills help drive cross-functional collaboration and organizational alignment. These abilities are crucial for ensuring data integrity, regulatory compliance, and leveraging data as a strategic business asset.

What is the difference between Vp Data Management vs Data Analyst?

AspectVp Data ManagementData Analyst
CredentialsBachelor's/Master's in Data Science, Business, or related fields; experience in data leadershipBachelor's in Statistics, Data Science, or related fields; often entry to mid-level experience
Work EnvironmentStrategic leadership, overseeing data teams, managing data governanceAnalyzing data sets, creating reports, supporting decision-making
Industry UsageCommon in large corporations, tech, finance, healthcareWidely used across industries for data insights and reporting

The Vp Data Management focuses on strategic oversight, data governance, and leading data teams, while Data Analysts handle data analysis, reporting, and supporting business decisions. Both roles are essential but differ in scope, responsibilities, and seniority.

More about Vp Data Management jobs

What cities are hiring for Vp Data Management jobs?

Cities with the most Vp Data Management job openings:

What are the most commonly searched types of Data Management jobs?

The most popular types of Data Management jobs are:

What states have the most Vp Data Management jobs?

States with the most job openings for Vp Data Management jobs include:

Infographic showing various Vp Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Product Manager, Vice President - Data Management

J.P. Morgan

Jersey City, NJ โ€ข On-site

Full-time

Medical, Retirement

Posted 13 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. Are you passionate about shaping the future of data management - and harnessing the power of AI to get there? Join our dynamic Data & Analytics organization as a Senior Product Manager and lead the development of a cutting-edge Data Quality & Contracts Platform. You'll play a pivotal role in empowering our business with trusted, high-quality data and robust contract management capabilities, driving innovation and operational excellence across the enterprise. Chase is seeking a talented Senior Product Manager, who will own the vision, strategy, and execution for Data Quality & Contracts Platform.

As a Product Manager, Vice President - Data Management in Consumer & Community Banking Data & Analytics team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. 

You will collaborate with cross-functional teams - including engineering, data governance, data products, AI/ML and business stakeholders - to deliver scalable solutions that ensure data integrity, compliance, and seamless quality and contract lifecycle management. A core dimension of this role is embedding AI and generative AI solutions into platform capabilities. Your leadership will be instrumental in transforming how our organization manages and leverages data assets in an AI-enabled enterprise.

Job responsibilities

  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Define and drive the product vision, strategy, and roadmap for the Data Quality & Contracts Platform.
  • Gather and prioritize requirements from stakeholders across business, technology, and compliance functions.
  • Lead end-to-end product lifecycle: ideation, requirements, design, development, launch, and continuous improvement.
  • Collaborate with engineering, UX, data governance and data products teams to deliver high-quality, user-centric solutions. 
  • Establish and monitor key performance indicators (KPIs) to measure product success and drive data-driven decisions.
  • Drive change in a complex and heavily collaborative environment and adopt and pivot to evolving business needs by learning quickly on-the-job
  • Communicate product vision, progress, and outcomes to senior leadership and stakeholders.

Required qualifications, capabilities, and skills

  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • 3+ years focused on data management, data quality, or contract management platforms.
  • Proven track record of delivering complex, enterprise-grade products or platforms. 
  • Strong understanding of data governance, data quality frameworks, and contract lifecycle management.
  • Experience working with agile development methodologies.
  • Excellent communication, stakeholder management, and leadership skills with ability to influence and drive change in a matrixed organization.
  • Analytical mindset with the ability to translate business needs into technical requirements. 
  • Bachelor's degree in Computer Science, Information Systems, Business, or related field. 

Preferred qualifications, capabilities, and skills

  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Experience in financial services, banking, or highly regulated industries. 
  • Hands-on experience with data quality tools (e.g., Informatica, Collibra, Talend) and contract management solutions.
  • Technical proficiency in data architecture, data integration, and cloud platforms (e.g., AWS).
  • Master's degree in a relevant field. 

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.