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Executive Data Analytics Jobs in Delaware (NOW HIRING)

Athena LLC

Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. * Analyze large and diverse datasets (e.g ...

Athenago

Data Science Intern

Wilmington, DE

Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. * Analyze large and diverse datasets (e.g ...

JP Morgan Chase

Quant Analytics Manager

Wilmington, DE

... executive-ready narratives and decision support . * Diagnose data quality issues and statistical ... Communicate complex analytical results clearly to diverse audiences, tailoring content and level of ...

JPMorgan Chase & Co.

Quant Analytics Manager

Wilmington, DE · On-site

$133K - $205K/yr

... executive-ready narratives and decision support . * Diagnose data quality issues and statistical ... Communicate complex analytical results clearly to diverse audiences, tailoring content and level of ...

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Executive Data Analytics information

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer (CDO) or Vice President of Data Analytics, which can offer salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in data strategy, and leadership capabilities, often supported by certifications like Certified Analytics Professional (CAP) or advanced degrees.

How does an Executive Data Analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What are the key skills and qualifications needed to thrive as an Executive in Data Analytics, and why are they important?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the near future.

What is a data analyst executive?

A data analyst executive is a senior professional responsible for overseeing data analysis activities within an organization. They typically lead teams, develop data strategies, and use tools like SQL, Python, or Tableau to inform business decisions. Strong leadership, strategic thinking, and advanced analytical skills are essential for this role.

What is an Executive Data Analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Delaware? The most popular types of Data Analytics jobs in Delaware are:
What cities in Delaware are hiring for Executive Data Analytics jobs? Cities in Delaware with the most Executive Data Analytics job openings:
Executive Data Analytics jobs near you

Data Scientist Executive Director - Card Data & Analytics, Customer & Strategic Analytics

JPMorganChase

Wilmington, DE • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
JPMorganChase is a leading financial services firm, and they are seeking a Data Scientist Executive Director to lead the Card Data & Analytics Customer & Strategic Analytics team. This role involves driving AI and analytics solutions to shape product strategy and customer experience while leading a diverse team of analytics professionals.
Responsibilities:
• Define and drive the AI strategy for Card Data & Analytics, identifying high-value opportunities for generative AI, agentic AI, and analytics innovation to create competitive advantage
• Partner with Data, Product, and Technology to deliver AI and machine learning solutions from ideation and prototyping through production deployment, ensuring solutions are scalable, responsible, and aligned to business needs
• Stay current on emerging AI and machine learning techniques and translate new capabilities into practical applications for the Card business
• Lead analytics supporting customer experience and benefits, delivering insights that inform customer engagement, product design, portfolio performance, and pricing and targeting strategies
• Partner with Product, Risk, and Finance stakeholders to define analytical priorities, interpret results, and drive data-informed decisions
• Drive measurement frameworks, experimentation (including A/B testing and causal inference), and personalization strategies that improve customer experience and benefits utilization
• Translate customer data into actionable insights that inform marketing, product, and servicing strategies.
• Build and lead competitive intelligence analytics capabilities that monitor market trends, competitor positioning, and industry benchmarks within the Card space
• Partner with external vendors and synthesize internal and external data sources to provide senior leaders a clear view of the competitive landscape
• Deliver forward-looking analyses that inform strategic planning and product roadmap decisions for the Card business
• Lead, mentor, and develop a multi-layered team of analytics leaders, data scientists, and analysts, fostering a high-performance, inclusive, growth-oriented culture.
• Set clear goals and performance expectations, provide ongoing coaching, and support career development across all levels of the team
• Attract and retain top analytics talent through hiring, onboarding, and skills development programs.
• Champion a culture of innovation, intellectual rigor, and collaborative problem-solving across the broader Card Data & Analytics organization.
Qualifications:
Required:
• Master's or PhD in a quantitative field and 10+ years of analytics experience
• Proven senior leadership experience managing and developing multi-disciplinary analytics teams, including managers and individual contributors, in a large enterprise environment
• Deep expertise in data science and analytics, including hands-on experience with predictive modeling, statistical analysis, segmentation, and experimentation
• Demonstrated ability to deliver AI, machine learning, and analytics solutions that drive measurable business outcomes, ideally within financial services or consumer products
• Strong business acumen with the ability to frame analytical problems in terms of business strategy and translate insights into executive-level recommendations
• Experience leading analytics across multiple concurrent business domains, balancing near-term delivery with longer-term capability building
• Exceptional stakeholder management and communication skills, with a track record of influencing senior leaders and cross-functional partners
• Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks
• Strong project and program management skills, including the ability to define success metrics, manage risks, and drive execution across complex initiatives
Preferred:
• Experience in Card, consumer lending, or payments analytics, including familiarity with installment products, credit risk, or customer lifecycle management
• Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks
• Experience building or leading competitive intelligence functions using alternative data, market data, or external benchmarking
• Experience with causal inference, A/B testing, and experimentation frameworks at scale
• Familiarity with responsible AI principles, model governance, and regulatory considerations in financial services
• Experience enabling analytics adoption through change management, self-service tooling, or organizational enablement
• Familiarity with Agile delivery methods and modern product practices
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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