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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
Wealth Management - Data Provisioning Execution & Innovation - Vice President

Wealth Management - Data Provisioning Execution & Innovation - Vice President

JPMorgan Chase & Co.

Newark, DE • On-site

$128K - $205K/yr

Full-time

Medical, Retirement

Posted 25 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


Our Chief Data & Analytics Office within Asset & Wealth Management is reimagining how data is provisioned, governed, and consumed. Through Strategic Data Provisioning, we organize data into domain-aligned products, build consumer-ready unified data products, and pioneer a human-agentic operating model for data management. We are looking for a curious, self-directed innovator ready to shape the future of AI for Data.
Job Summary
As the Execution & Innovation Lead within our Strategic Data Provisioning team, you will spend every day connecting the work happening on the ground with the AI for Data vision shaping tomorrow's capabilities. Translating granular data flows, producer dependencies, and consumer needs into pragmatic, sequenced requirements, you will partner across knowledge base owners, agentic orchestration product owners, applied AI delivery leads, and use case execution teams. If you are intellectually curious and have a passion for delivering solutions across organizational boundaries, you may be the perfect fit for our team.
Job responsibilities
  • Partner with use case owners and execution teams to take requests from problem space to provisioned, governed data products on the Mesh
  • Engage producers and Systems of Record directly to action the SDP ticket backlog, with deliberate focus on the CDO "Big Rocks" subset
  • Break down priority lists, sequence producer conversations, and track dependencies needed to onboard additional data to the Mesh
  • Provide executive visibility on bottlenecks, cross-product dependencies, and adoption progress against SDP OKRs
  • Support lineage and provenance work for critical data assets in alignment with regulatory and control obligations, ensuring an evergreen, auditable record
  • Lead aggregate cross-use case root cause analysis on priority data quality issues using profiling and analytics, and guide fixes at source
  • Partner with control owners to embed preventative technical and business data quality controls so failures are prevented rather than re-detected
  • Enrich the metadata, classification, and discoverability of existing data assets so they become more valuable to consumers, including downstream NLQ and AI use cases
  • Translate ground-level patterns, friction points, and producer dependencies into clearly articulated requirements for the agentic approach
  • Contribute the SDP perspective on knowledge curation, semantic enrichment, and lifecycle orchestration so platform capabilities reflect real demand
  • Maintain a continuous feedback loop between demand signals and the capability roadmap, surfacing executive views of risks, dependencies, and decisions needed

Required qualifications, capabilities, and skills
  • Bring 8 years in data management or operations transformation within financial services, including VP-level delivery in matrixed environments
  • Apply deep subject matter knowledge across wealth and asset management data domains, including investments
  • Deliver or partner on analytics enablement transformation programs with a proven track record
  • Translate operational, ground-level work into structured requirements that other teams can build against
  • Engage producers, Data Executives, and delivery partners credibly using a strong technical foundation
  • Code and analyze using Alteryx, Python, SQL, and Spark across cloud data platforms
  • Influence senior stakeholders and operate effectively in a partner role where delivery sits with others
  • Balance long-term vision with pragmatic, incremental delivery through thoughtful judgment
  • Sequence complex producer and consumer dependencies to unblock active use cases
  • Communicate executive-level views of risks, dependencies, and decisions to senior stakeholders
  • Collaborate across organizational boundaries as an enthusiastic, self-directed team member

Preferred qualifications, capabilities, and skills
  • Demonstrate familiarity with Data Mesh patterns and capabilities
  • Apply a conceptual understanding of AI for Data approaches, including how knowledge curation and agentic orchestration intersect with traditional data management
  • Recognize telemetry, continuous-optimization, and cost/accuracy/predictability tradeoffs in agentic systems (e.g., tokenomics-style framing) sufficient to inform requirements
  • Partner alongside AI or analytics transformation product teams in a requirements capacity
  • Program and analyze using Python, R, SQL, and PySpark
  • Build and present insights using Tableau, Power BI, or equivalent visualization tools
  • Operate within Agile/Scrum, DevOps, and DataOps methodologies using Git, GitHub, or Bitbucket

About Us
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
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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