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Vice President Data Science Jobs in Delaware (NOW HIRING)

VP - Credit and Data Analytics

Wilmington, DE · On-site

$134K - $172K/yr

Barclays Services LLC seeks VP - Credit and Data Analytics in Wilmington, DE (multiple positions ... Work with Segment, Strategic Analytics, and Decision Science staff to ensure project completion ...

... of operation data and performance metrices. * Management of operations for a business area and ... Vice President Expectations * To contribute or set strategy, drive requirements and make ...

Showing results 41-60

Vice President Data Science information

See Delaware salary details

$43.5K

$157.7K

$277.7K

How much do vice president data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for vice president data science 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 science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

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

The most popular types of Data Science jobs in Delaware are:

What are popular job titles related to Vice President Data Science jobs in Delaware?

For Vice President Data Science jobs in Delaware, the most frequently searched job titles are:

Infographic showing various Vice President Data Science job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,668 per year, or $75.8 per hour.

Risk Reporting - Vice President

JPMorgan Chase & Co

Newark, DE • On-site

Full-time

Medical, Retirement

Posted 2 days ago

New


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Join Treasury and Chief Investment Office (TCIO) at JPMorgan and take part in firm-wide asset and liability management for one of the world's largest global financial institutions, managing a $4.5 trillion balance sheet, which includes over $1.4 trillion in loans and $2.5 trillion in deposits. Positioned at the center of the firm, TCIO directly influences the composition of the firm's balance sheet and the activities of its main LOBs: Asset Management (AM), Commercial & Investment Bank (CIB) and Consumer & Community Banking (CCB).

As a Liquidity Risk Reporting Vice President in the Corporate Treasury Middle Office (CTMO), part of the TCIO organization, you will support the Firm's daily external liquidity reporting. You will be part of a team responsible for overseeing the operating model that supports data aggregation used in the firm's risk reporting process (e.g., balance sheet details, forecasts, and assumptions). This includes executing key data integrity controls, reconciliations, adjustments, and analytics. You will also coordinate the production of several firm-wide, LOB, and legal entity-level risk reports (e.g., FR2052a, LCR, NSFR, Stress) by agreed deadlines. This involves collaborating with global contacts to quickly research and explain variances in key risk measures and facilitating sign-off by senior risk stakeholders before report distribution internally and to regulators.

Job Responsibilities:

  • Oversee and attest to the quality of liquidity risk data daily across all legal entities, establishing enterprise data quality standards, materiality thresholds, and escalation protocols; ensure evidence retention and audit readiness. 

  • Direct the industrialization of product reconciliations and daily balance sheet variance analysis, moving from manual reviews to automated, scalable pipelines with lineage and control checkpoints. 

  • Prepare, analyze, and provide commentary for internal and external reports to stakeholders.

  • Conduct data analysis to identify and implement business validation rules to support the transition to an exception-based operating model.

  • Set the modernization roadmap and standards for the analytics/tooling stack (Tableau, Excel, Python), driving consolidation, scalability, and resiliency across solutions. 

  • Determine business drivers behind variances and communicate impacts to partner groups such as Liquidity Risk Management and Liquidity Management.

  • Partner with internal data source providers and risk stakeholders across all lines of business to complete data investigations and resolve data quality issues, aiming to improve the timeliness and accuracy of all risk reporting continuously.
  • Respond to internal or regulatory requests to complete ad hoc data analysis or produce custom reports as needed.
  • Support LRI tech/business enhancements and assist in technology-related developments, ensuring appropriate prioritization and end-user testing.

  • Continually identify and enhance the overall control environment and operating model across core operational activities, improving timeliness and reducing operational risk to the firm.

Required Qualifications, Skills, and Capabilities:

  • 8+ years of experience in treasury, financial reporting or risk/data operations, balance sheet analysis, and/or asset and liability or liquidity management.

  • Expert analytical and diagnostic skills, with a track record of structuring ambiguous problems and driving datadriven decisions for senior stakeholders.

  • Proven leadership experience, including the ability to facilitate project and process improvements across a large organization.

  • Strong technical leadership with handson depth in SQL and Python; advanced Excel skills and proficiency with Tableau and Alteryx.

  • Demonstrated ability to lead teams through highstakes deadlines and regulatory commitments; establishes execution discipline, risk-aware prioritization, and clear accountability.

  • Operates with ownership and urgency; sets operating mechanisms, cadences, and standards that scale across teams with minimal oversight.

  • Executive communication excellence; crafts concise narratives, risk positions, and options; influences senior forums and regulatory interactions.

  • People leadership of analysts and associates, including hiring, staffing, performance management, coaching, and succession planning.

  • Ownership of governance forums for data quality and operational risk; accountable for control health metrics, remediation plans, and audit readiness.

  • Own endtoend lifecycle of AIenabled solutions for liquidity data quality, reconciliations, and variance analysis with human review, monitoring, and governance.

Preferred Qualifications, Skills, and Capabilities: 

  • Experience with SQL, Python, or data visualization tools such as Tableau is a plus.

  • Bachelor's degree required; advanced degree in Finance, Data Science, Computer Science, or related field preferred.

  • Relevant certifications in cloud, data engineering, or ML/AI are advantageous.

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

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