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Senior Vice President Data Analytics Jobs in Delaware

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Senior Vice President Data Analytics information

What does a senior vice president data analytics do?

A Senior Vice President of Data Analytics is an executive leader responsible for overseeing an organization's data strategy, analytics operations, and data-driven decision-making processes. They lead teams that collect, analyze, and interpret large volumes of data to inform business strategy and drive growth. This role often involves collaborating with other senior leaders to identify business opportunities, improve efficiency, and ensure the company is leveraging data effectively. Additionally, they set data governance policies, manage advanced analytics initiatives, and may oversee the implementation of artificial intelligence or machine learning projects.

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

To thrive as a Senior Vice President Data Analytics, you need a deep expertise in data strategy, statistical analysis, and large-scale data architecture, often supported by an advanced degree in a quantitative field and significant industry experience. Familiarity with tools like SQL, Python, data visualization platforms (e.g., Tableau, Power BI), and big data technologies, as well as relevant certifications, is typically required. Exceptional leadership, strategic thinking, and communication skills are vital for driving data initiatives and aligning analytics with business goals. These competencies enable effective data-driven decision-making and ensure analytics deliver measurable value across the organization.

How does a senior vice president data analytics typically collaborate with other executive leaders within an organization?

A Senior Vice President of Data Analytics works closely with other executives, such as the CIO, CTO, and business unit leaders, to align data strategy with overall business objectives. This role often involves translating complex analytics insights into actionable recommendations for non-technical stakeholders, ensuring that data-driven decisions support company growth. Regular cross-functional meetings and strategic planning sessions are common, fostering a culture where data informs product development, marketing strategies, and operational improvements. Effective communication and leadership skills are essential for driving consensus and integrating analytics across departments.

What is the difference between Senior Vice President Data Analytics vs Data Analytics Director?

AspectSenior Vice President Data AnalyticsData Analytics Director
CredentialsAdvanced degrees (MBA, PhD), extensive experience in analytics leadershipBachelor's or Master's in Data Science, Analytics, or related fields
Work EnvironmentExecutive leadership, strategic planning, cross-departmental collaborationOperational management, project oversight, team leadership
Industry UsageCommon in large corporations, financial institutions, tech firmsFound in mid to large organizations across various industries
Search & Comparison IntentUnderstanding executive roles, strategic responsibilitiesOperational management, team leadership, project scope

The Senior Vice President Data Analytics typically holds a higher strategic and executive role, focusing on company-wide data strategies and leadership. The Data Analytics Director manages analytics teams and projects, executing strategies set by senior leadership. Both roles require strong analytics credentials, but the SVP is more involved in high-level decision-making and organizational impact.

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Senior Vice President Data Analytics jobs near you

Marketing Analytics Vice President Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

$180 - $250/hr

Other

Re-posted 16 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 498 frontline employees who took The Breakroom Quiz

71st of 173 rated banks

Job description

Join our Card Data & Analytics team and help shape the future of our credit card business through advanced marketing analytics. You will work with talented colleagues, strengthen your leadership and technical skills, and drive decisions that create measurable customer and business impact. This role offers meaningful career growth and the opportunity to influence how we invest in digital marketing, customer experiences, and data-driven innovation.

As a Marketing Analytics Vice President at JPMorganChase within Card Data & Analytics, you will lead analytics and insights that inform marketing strategy across digital marketing, customer journeys, segmentation, and targeting. You will partner closely with cross-functional teams to translate business needs into scalable analytics solutions and actionable recommendations. You will leverage data from large databases (including SQL and AWS environments) to develop insights, elevate data quality, and promote best practices that reduce redundancy and enable consistent measurement.

Job responsibilities
  • Establish partnerships across the organization to understand marketing objectives and business requirements
  • Lead the design and execution of solutions that pull and combine data from multiple sources for customer behavior analytics, campaign measurement, and reporting
  • Analyze customer journeys, digital engagement, and campaign performance to identify actionable insights
  • Develop and implement customer segmentation and targeting strategies to optimize marketing effectiveness
  • Communicate insights to senior leaders through clear written and verbal storytelling that influences marketing strategy and investment decisions
  • Collaborate with analytic and non-analytic groups to enable cross-functional learning and alignment
  • Champion data and analytics best practices across the marketing organization
  • Translate business needs into data models that support long-term marketing solutions
  • Guide the creation of data models using best practices to improve data quality and reduce redundancy
Required qualifications, capabilities and skills
  • Master’s degree in a relevant quantitative field (e.g., Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related field)
  • 6+ years of industry experience in marketing analytics roles (e.g., digital analytics, campaign measurement, customer insights)
  • 6+ years of experience using analytics platforms, languages, and tools (e.g., Snowflake, Alteryx, SAS, Tableau, Python, Excel), including hands‑on experience with big data platforms
  • Strong communication skills with the ability to explain complex concepts in a clear, compelling, and persuasive way to business partners
  • Demonstrated ability to define marketing problems with stakeholders, develop solutions, and drive implementation
  • Expert knowledge of quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics
Preferred qualifications, capabilities and skills
  • Experience in financial services, particularly credit card marketing analytics
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