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Vice President Data Jobs in Delaware (NOW HIRING)

... data analysis, financial projects and considering the financial impact of transactions ... Vice President Expectations * To contribute or set strategy, drive requirements and make ...

The VP/MD of Data Science will focus on building the foundational data science capabilities to enable the integration and growth of our emerging Auto Finance businesses. This role will partner ...

As a Liquidity Risk Reporting Vice President in the Corporate Treasury Middle Office (CTMO), part ... This includes executing key data integrity controls, reconciliations, adjustments, and analytics.

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Vice President Data information

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$43.5K

$157.7K

$277.7K

How much do vice president data jobs pay per year?

As of Sep 2, 2026, the average yearly pay for vice president data in Delaware is $157,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $190,200.00 per year, depending on experience, location, and employer.

What does a vice president of data do?

A Vice President of Data is a senior executive responsible for overseeing an organization's data strategy, governance, and analytics. They lead teams that manage data infrastructure, ensure data quality, and derive insights to drive business decisions. This role often involves setting data policies, collaborating with other departments, and ensuring compliance with data regulations. The VP of Data also identifies opportunities to leverage data for competitive advantage and may oversee data science, engineering, and analytics functions.

What are the key skills and qualifications needed to thrive as a vice president of data?

To thrive as a Vice President of Data, you need advanced expertise in data management, analytics, and strategy, typically supported by a degree in computer science, statistics, or a related field and several years of leadership experience. Proficiency with data platforms (such as SQL, Hadoop, or Snowflake), business intelligence tools, and data governance frameworks is essential. Exceptional leadership, communication, and strategic thinking are crucial soft skills for aligning data initiatives with business objectives and leading diverse teams. These competencies drive data-driven decision-making, foster innovation, and ensure organizational competitiveness in a data-centric landscape.

What are some common challenges faced by a vice president of data when aligning data strategy with overall business goals?

A Vice President of Data often faces the challenge of ensuring that data initiatives directly support the broader business objectives, which requires balancing technical possibilities with practical business needs. This includes translating complex data insights into actionable strategies for non-technical stakeholders, prioritizing projects based on impact, and fostering cross-departmental collaboration to ensure data-driven decision-making. Additionally, maintaining data quality and governance while scaling data operations can be demanding, especially in fast-growing organizations. Successfully navigating these challenges often involves strong communication skills, strategic vision, and the ability to lead diverse teams.

What are the most commonly searched types of Data jobs in Delaware?

The most popular types of Data jobs in Delaware are:

What cities in Delaware are hiring for Vice President Data jobs?

Cities in Delaware with the most Vice President Data job openings:

Vice President, Data Scientist - Credit Risk, Risk Insights - Chase 360

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 14 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks


Job description

Shape how JPMorganChase understands and manages consumer and small business credit risk at scale. In this role, you'll turn rich payment and customer data into insights that directly influence lending strategy and risk decisions. You'll partner with senior Risk leaders to answer high-impact questions, quantify tradeoffs, and monitor emerging risks. You'll also help modernize the analytics lifecycle by identifying where GenAI can deliver step-change improvements.

As a Vice President in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy.  
You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You will collaborate closely with cross functional stakeholders, including the Risk leadership team to identify critical business questions and translate them into actionable analytical solutions 

Job Responsibilities

  • Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects.
  • Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources.
  • Translate complex data into clear, actionable insights that inform strategic decisions.
  • Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities.
  • Deliver executive-ready narratives-develop and communicate compelling insights, recommendations, and tradeoffs to senior leaders 
  • Drive execution in a fast-paced environment, prioritizing across multiple initiatives, aligning stakeholders, and ensuring delivery against roadmap milestones and business outcomes.
  • Embrace GenAI-enabled innovation across the data science lifecycle, and proactively identify where GenAI can create step-changes to existing processes and risk monitoring.
  • Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics.

Required qualifications, capabilities, and skills

  • Advanced degree in statistics, econometrics, or a related quantitative field, with minimum 5+ years of risk management or quantitative experience; alternatively, BS degree with a minimum of 7 years relevant experience.
  • Deep expertise of the Consumer Financial Services industry
  • Demonstrated strategic and commercial mindset-ability to frame ambiguous problems, define clear success metrics, prioritize high-ROI work
  • Deep expertise in Python and SQL.
  • Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects.
  • Ability to synthesize diverse information and develop actionable recommendation.
  • Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. 
  • Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences.

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

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.

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