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Data Executive Jobs (NOW HIRING)

Bart & Associates

Senior Management Analyst

Mclean, VA · On-site

Collect, evaluate, and interpret qualitative and quantitative data to support executive decision-making * Identify operational inefficiencies, risks, and areas for process improvement * Develop ...

GHD

Data, Analytics & Insights - Executive Advisor

Houston, TX · Hybrid

$52.25 - $67.75/hr

We are seeking Data, Analytics & Insights - Executive Adviso r to shape, win and lead major client engagements, develop repeatable offers, and build high-performing teams aligned to client demand and ...

NTT DATA Services

Client Executive II

Manhattan, NY · On-site

$84K - $114K/yr

Req ID: 380122 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Client Executive II to join our team in New York, New York (US-NY ...

AJAIA

Strategy & Operations Lead

Miami, FL · On-site

Help build scalable operating systems supported by AI and data. Executive Support During Travel & Events * Capture discussions, commitments, and action items. * Coordinate follow-ups with investors ...

NTT DATA Services

Client Executive II

Manhattan, NY · On-site

$84K - $114K/yr

Req ID: 380122 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Client Executive II to join our team in New York, New York (US-NY ...

NTT DATA Services

Client Executive II

New York, NY · On-site

$83K - $113K/yr

Req ID: 380122 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a Client Executive II to join our team in New York, New York (US-NY ...

NTT DATA Services

Client Executive III

New York, NY · On-site +1

$100K/yr

At NTT DATA, we know that with the right people on board, anything is possible. The quality ... Client Executives drive the sales process and outcomes on a dedicated basis, growing a profitable ...

New

NTT DATA Services

Client Executive III

Plano, TX · On-site

$100K/yr

At NTT DATA, we know that with the right people on board, anything is possible. The quality ... Client Executives drive the sales process and outcomes on a dedicated basis, growing a profitable ...

New

NTT DATA Services

Client Executive III

Manhattan, NY · On-site +1

$100K/yr

At NTT DATA, we know that with the right people on board, anything is possible. The quality ... Client Executives drive the sales process and outcomes on a dedicated basis, growing a profitable ...

New

AJAIA

Enterprise Operations Lead

Miami, FL · On-site

Help build scalable operating systems supported by AI and data. Executive Support During Travel & Events * Capture discussions, commitments, and action items. * Coordinate follow-ups with investors ...

BlackHawk Data

Account Executive

Manhattan, NY · On-site

The Opportunity BlackHawk Data is seeking a sharp, forward-thinking Account Executive to help shape mission-critical technology environments for some of the world's most complex enterprises. This is ...

AJAIA

Strategic Programs Lead

Miami, FL · On-site

Help build scalable operating systems supported by AI and data. Executive Support During Travel & Events * Capture discussions, commitments, and action items. * Coordinate follow-ups with investors ...

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Data Executive information

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$26.5K

$93.6K

$184K

How much do data executive jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data executive in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What does a data executive do?

A data executive oversees an organization’s data strategy, ensuring data quality, security, and effective use for decision-making. They often manage data teams, develop policies, and work with tools like data management systems and analytics platforms to support business goals.

What is the highest paying data job?

The highest paying data jobs typically include Data Science Directors, Chief Data Officers, and senior Data Architects, with salaries often exceeding $150,000 annually. These roles require advanced skills in data management, analytics, and leadership, and often demand extensive experience and relevant certifications.

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

To thrive as a Data Executive, you need a solid background in data analysis, business intelligence, and data management, often supported by a degree in data science, statistics, or a related field. Familiarity with tools such as SQL, Python, data visualization platforms (e.g., Tableau or Power BI), and possibly certifications like Certified Data Management Professional (CDMP) are typically required. Strong leadership, communication, and strategic thinking skills help you translate data insights into actionable business strategies and effectively lead data teams. These skills and qualities are crucial for driving data-driven decision-making and delivering measurable value to the organization.

Is 40 too late for data science?

Data executives and professionals in data science can successfully transition into the field at age 40 or older, as experience, analytical skills, and continuous learning are highly valued. Many data scientists pursue certifications, such as those in machine learning or data analysis, to enhance their qualifications regardless of age.

What are some common challenges faced by Data Executives when managing cross-functional data initiatives?

Data Executives often encounter challenges related to aligning diverse stakeholders, ensuring data quality across departments, and integrating multiple data systems. Navigating differing priorities between business units and technical teams requires strong communication and negotiation skills. Additionally, maintaining data security and compliance while driving innovation can be complex, but these challenges present valuable opportunities to demonstrate leadership and strategic thinking in a dynamic environment.

What is the difference between Data Executive vs Data Analyst?

AspectData ExecutiveData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; often some certificationsBachelor's degree in Statistics, Data Science, or related field; certifications like Microsoft Data Analyst are common
Work EnvironmentStrategic roles in corporate settings, focusing on data management and decision-makingOperational roles, analyzing data sets to generate reports and insights
Employer & Industry UsageUsed in corporate, finance, and consulting firms for data governance and strategyCommon across industries for data reporting, market analysis, and performance tracking

While both roles involve working with data, Data Executives focus on strategic data management and decision-making at a higher level, whereas Data Analysts primarily analyze data to generate reports and insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Executives?

Data Executives are professionals responsible for overseeing the management, analysis, and strategic use of an organization's data assets. They develop and implement data policies, ensure data quality and security, and help drive business decisions using data insights. Typically, Data Executives work with cross-functional teams to align data initiatives with business goals and may lead data governance, analytics, and reporting efforts. Their role is crucial for organizations aiming to leverage data for competitive advantage.

What jobs make $1,000,000 a year?

In the context of a Data Executive, earning $1,000,000 annually is uncommon and typically involves executive-level roles such as Chief Data Officer or senior data-focused executives in large corporations, often supplemented by bonuses, stock options, or profit sharing. High earnings in data-related roles usually require extensive experience, advanced skills in data management and analytics, and leadership responsibilities. Most data professionals do not reach this income level solely through salary but may do so through executive compensation packages in major organizations.
More about Data Executive jobs
What cities are hiring for Data Executive jobs? Cities with the most Data Executive job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Data Executive jobs? States with the most job openings for Data Executive jobs include:
What job categories do people searching Data Executive jobs look for? The top searched job categories for Data Executive jobs are:
Data Executive jobs near you
Infographic showing various Data Executive job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Wealth Management - Data Provisioning Execution & Innovation - Vice President

Wealth Management - Data Provisioning Execution & Innovation - Vice President

JP Morgan Chase

Newark, DE

Full-time

Medical, Retirement

Posted 23 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
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

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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