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Chief Data Analytics information

What are the key skills and qualifications needed to thrive as a chief data analytics, and why are they important?

To thrive as a Chief Data Analytics, you need advanced expertise in data science, statistical analysis, and business intelligence, often supported by a master's or doctoral degree in a quantitative field. Familiarity with analytics platforms (such as Tableau, Power BI), big data tools (like Hadoop, Spark), and programming languages (Python, R), as well as certifications in data analytics or management, are typically required. Strategic thinking, strong leadership, and effective communication skills are essential to bridge the gap between technical teams and business stakeholders. These competencies are crucial for driving data-driven decision-making, aligning analytics initiatives with organizational goals, and delivering measurable business value.

How does a chief data analytics typically collaborate with other departments to drive data-driven decision making?

As a Chief Data Analytics professional, you'll work closely with leaders from departments such as marketing, finance, operations, and IT to identify key business challenges and opportunities where data can provide actionable insights. Regular cross-functional meetings, workshops, and data strategy sessions are common to ensure alignment on goals and data priorities. You'll also guide teams on best practices for data collection, analysis, and interpretation, fostering a culture of data-driven decision making throughout the organization. Building strong relationships and maintaining clear communication with stakeholders is essential to drive successful analytics initiatives and support organizational growth.

What does a chief data analytics do?

A Chief Data Analytics Officer (CDAO) is responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision making. They lead teams that collect, analyze, and interpret data to support business goals and drive innovation. The CDAO ensures that data governance, quality, and privacy standards are met, while also promoting a data-centric culture across the company. Their work helps organizations leverage data assets to gain competitive advantage and improve performance.

What is the difference between Chief Data Analytics vs Data Analyst?

AspectChief Data AnalyticsData Analyst
CredentialsAdvanced degrees (Master's, PhD), certifications in data management and analyticsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership, overseeing analytics teams, executive collaborationData analysis, reporting, and visualization tasks, often under supervision
Employer & Industry UsageUsed in large organizations, tech firms, finance, healthcareCommon across various industries, including retail, marketing, finance

Chief Data Analytics focuses on strategic leadership, managing analytics teams, and aligning data initiatives with business goals. Data Analysts perform hands-on data analysis, reporting, and visualization. Both roles require strong analytical skills, but the Chief Data Analytics role involves higher-level decision-making and leadership responsibilities.

What job categories do people searching Chief Data Analytics jobs in Delaware look for?

The top searched job categories for Chief Data Analytics jobs in Delaware are:

What cities in Delaware are hiring for Chief Data Analytics jobs?

Cities in Delaware with the most Chief Data Analytics job openings:

Chief Data Analytics jobs near you
Infographic showing various Chief Data Analytics job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Owner Vice President - Corporate Sector

JPMorgan Chase & Co.

Newark, DE • On-site

$120 - $150/hr

Other

Re-posted 26 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

JPMorganChase’s Chief Data and Analytics Office is accelerating the firm’s data and analytics journey—strengthening data quality, integrity, and security while enabling insights that improve decision‑making, productivity, and risk management.

As a Data Owner Lead, Vice President at JPMorganChase within the Corporate Finance and Treasury and Chief Investment Office Chief Data Office (part of Corporate Finance and Corporate Controllers), you will coordinate across data providers and data consumers to ensure business data is clearly defined, fit for purpose, and well governed. You will drive execution of data strategies, improve end‑to‑end data quality and controls, and help embed a strong, risk‑aware data culture that supports innovation and business outcomes.

Job responsibilities
  • Implement data strategies and plans that support business operations and strategic objectives
  • Manage project execution, milestones, and delivery timelines while identifying and mitigating risks, bottlenecks, and inefficiencies
  • Partner with stakeholders to define business data meaning, purpose, and appropriate classification using clear metadata
  • Document requirements for data sourcing, content, and quality, coordinating with technology and business partners to deliver timely and accurate data
  • Develop and oversee processes to identify, monitor, and mitigate data risks across the data lifecycle, including protection, retention, storage, use, and quality
  • Support analytics and data products by identifying, approving, and governing data integrated into analytics platforms
  • Communicate, track, and resolve data issues in a timely and consistent manner to maintain data integrity and trust
Required qualifications, capabilities and skills
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
  • 6+ years of experience in data management, data governance, risk management, analytics, or a related field
  • Demonstrated leadership experience managing delivery timelines and driving outcomes across multiple stakeholders
  • Strong knowledge of data governance and data lifecycle management, including data protection, data quality, and data classification
  • Strong analytical and problem‑solving skills, with ability to translate complex data topics into clear business actions
  • Strong communication skills, including ability to present to both technical and non‑technical audiences and senior stakeholders
  • Experience building effective partnerships and influencing across teams to deliver large‑scale data initiatives
Preferred qualifications, capabilities and skills
  • Experience with cloud‑based data platforms and technologies (such as Amazon Web Services, Microsoft Azure, or Google Cloud)
  • Familiarity with advanced analytics, machine learning, or artificial intelligence in a business context
  • Working knowledge of query or analytical programming languages
  • Experience leading data‑enabled change initiatives that improve business processes and efficiency
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