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Chief Data Analytics Jobs (NOW HIRING)

Reporting to the Senior Vice President/Chief Transformation Officer, the Chief Data Officer (CDO ... The CDO leads an integrated data and analytics organization focused on enabling evidence-based ...

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Data integration * Analysis * Storage and retrieval across multiple platforms * Integrate ...

Our Client is seeking an experienced Chief Data Governance to lead their data governance efforts. As a key member of the leadership team, you will be responsible for developing and implementing a ...

Chief Data Architect

Foster City, CA · Hybrid

$74.25 - $95.50/hr

The Chief Data Architect - Finance Technology is responsible for defining and leading the ... Lead the vision for a modern, cloud-based Finance data ecosystem spanning transactional, analytical ...

AI, Data & Analytics Leadership * Develop and execute an enterprise-wide AI and data strategy that positions data as a strategic organizational asset. * Establish scalable data governance ...

... Chief Data Officer (CDO) business and function leads to review and assess the Data Quality (DQ ... analyst, financial modeler, statistician Good understanding of data management practices ...

Chief Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Job #3772 Position Chief Data Engineer Work Location McLean, VA Security Clearance TS/SCI with ... Normalize and standardize data for incorporation into AI/ML enabled analytical methodologies.

... analysis of profiling and metrics results • Review DQ requirements to help build valid and ... Chief Data Officer (CDO) business and function leads to review and assess the Data Quality (DQ ...

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Chief Data Analytics information

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$33K

$124.4K

$200.5K

How much do chief data analytics jobs pay per year?

As of Jul 10, 2026, the average yearly pay for chief data analytics in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

How much does a chief data analyst make?

A chief data analyst typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles may include bonuses and benefits, and proficiency in data tools like SQL and Python can influence salary levels.

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 professional 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 is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

What does a Chief Data Analytics Officer 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 a CDO salary?

A Chief Data Officer (CDO) salary varies based on experience, industry, and location but typically ranges from $150,000 to over $300,000 annually. CDOs often have strong backgrounds in data management, analytics, and leadership, and may receive bonuses or stock options as part of their compensation package.

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 does a chief data analyst do?

A chief data analyst is responsible for analyzing complex data sets to identify trends and support strategic decision-making within an organization. They develop data models, create reports, and use tools like SQL and data visualization software to communicate insights to stakeholders. Strong analytical skills and knowledge of data management are essential for this role.
More about Chief Data Analytics jobs
What cities are hiring for Chief Data Analytics jobs? Cities with the most Chief Data Analytics job openings:
What states have the most Chief Data Analytics jobs? States with the most job openings for Chief Data Analytics jobs include:
Infographic showing various Chief Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.
Chief Data Officer

Chief Data Officer

UMass Memorial Health

Worcester, MA • On-site

Full-time

Posted 19 days ago


UMass Memorial Health rating

7.4

Company rating: 7.4 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

263rd of 880 rated healthcare providers


Job description

Are you an internal caregiver, student, or contingent worker/agency worker at UMass Memorial Health? CLICK HERE to apply through your Workday account.
Exemption Status:
Exempt
Schedule Details:
Scheduled Hours:
Shift:
1 - Day Shift, 8 Hours (United States of America)
Hours:
40
Cost Center:
99940 - 5950 IS Administration
This position may have a signing bonus available a member of the Recruitment Team will confirm eligibility during the interview process.
Everyone Is a Caregiver
At UMass Memorial Health, everyone is a caregiver - regardless of their title or responsibilities. Exceptional patient care, academic excellence and leading-edge research make UMass Memorial the premier health system of Central Massachusetts, and a place where we can help you build the career you deserve. We are more than 20,000 employees, working together as one health system in a relentless pursuit of healing for our patients, community and each other. And everyone, in their own unique way, plays an important part, every day.
Reporting to the Senior Vice President/Chief Transformation Officer, the Chief Data Officer (CDO) provides enterprise leadership for UMass Memorial Health's data and analytics strategy, execution, and impact. The CDO leads an integrated data and analytics organization focused on enabling evidence-based decision-making, advancing data literacy, and improving clinical, operational, and strategic performance.
The CDO drives transformation by delivering a modern, scalable data ecosystem including a Unified Data Platform and advancing advanced analytics capabilities such as predictive modeling and AI/ML. As a trusted advisor to executive leadership, the CDO ensures data strategies are aligned with business and clinical priorities and oversee enterprise data architecture, governance, analytics, reporting, and security.
A core responsibility is the development and execution of Enterprise Data Strategy, supported by strong data governance and cross-functional partnerships with IS, clinical, operational, and transformation leaders. The CDO champions modernization of the analytics technology stack and expands access to trusted data through self-service capabilities.
The role requires demonstrated thought leadership and a track record of measurable impact, as well as the ability to build and lead a high-performing team of data engineers, analysts, data scientists, and governance professionals.
Success will be measured by enterprise adoption of analytics, delivery of the Unified Data Platform, measurable performance improvements, and sustained increases in data literacy and decision quality
This role will be expected to achieve specific goals, including:
• Delivery of the Unified Data Platform
• Establishing a unified and trusted enterprise data strategy and governance model.
• Elevating the use of analytics in strategic and operational decisions.
• Leading the adoption of advanced analytics, including AI and machine learning.
• Driving integration and modernization of data platforms, tools, and capabilities.
• Building and developing a cross-functional, high-impact data and analytics team.
• Collaborating with stakeholders to define and prioritize enterprise-wide data initiatives.
• Ensuring robust data governance, security, and compliance practices.
• Fostering a culture of curiosity, innovation, and data fluency across UMMH.
I. Major Responsibilities:
  • Lead the development and execution of a unified enterprise data and analytics strategy aligned with organizational objectives, with enterprise authority over data standards, analytics platforms, and governance frameworks.
  • Modernize and oversee the enterprise data ecosystem, data warehouses, data lakes, and analytics platforms, and partner closely with Information Services to ensure secure, scalable, and high-performing infrastructure.
  • Ensure secure, high-quality data ingestion, integration, and management across clinical, operational, and financial domains to support trusted analytics and insights.
  • Establish and lead enterprise data governance, stewardship, and data quality programs in compliance with privacy, security, and regulatory requirements.
  • Advance analytics and data science capabilities, including self-service analytics, predictive modeling, population health analytics, and AI-driven decision support, to enable real-time and strategic decision-making.
  • Drive continuous improvement of analytics services through performance metrics, adoption tracking, and stakeholder feedback.
  • Partner with executive, clinical, and operational leaders to identify and prioritize high-impact opportunities where data and analytics can drive performance improvement and innovation.
  • Build, lead, and develop a high-performing, diverse data and analytics team, fostering professional growth and cross-functional collaboration.
  • Monitor industry trends and emerging technologies, and manage strategic vendors and external partnerships to keep the organization at the forefront of data and analytics practices

Standard Executive Level Responsibilities:
  • Directs and supervises assigned personnel including performance evaluations, scheduling, orientation, and training. Makes recommendations on employee hires, transfers, promotions, demotions, discipline, terminations, and similar actions.
  • Develops and recommends the budgets for the areas managed. Ensures adequate equipment and supplies for department. Manages activities to assure financial goals are met.
  • Encourages and supports diverse views and approaches, demonstrates Standards of Respect, and contributes to creating and maintaining an environment of professionalism, respect, tolerance, civility and acceptance toward all employees, patients and visitors.
  • Integrates diversity into departmental objectives, such as hiring, promotions, training, vendor selections, etc.
  • Fosters the effective integration of efforts with system-wide initiatives. Participates in performance improvement initiatives and demonstrates the use of quality improvement in daily operations.
  • Ensures compliance with regulatory agencies such as Joint Commission, DPH, etc.
  • Develops and maintains procedures necessary to meet regulatory requirements. Ensures that department complies with hospital established policies, quality assurance programs, safety, and infection control policies and procedures. Develops and maintains established departmental policies, procedures, and objectives.
  • Ensures compliance to all health and safety regulations and requirements.

All responsibilities are essential job functions unless noted otherwise.
II. Position Qualifications:
License/Certification/Education:
Required:
Bachelor's degree in Data Science, Computer Science, Information Systems, Business, or related field.
Preferred:
Master's degree in a relevant field (e.g., Data Analytics, Health Informatics, Business Administration) strongly preferred.
Experience/Skill:
Required:
10+ years of progressive leadership experience in enterprise data, analytics, or BI roles, including 5+ years in a senior executive role.
Proven experience leading data transformation efforts within a large, complex, and regulated environment, preferably in healthcare. Expert knowledge of advanced data management, data architecture, data governance, and modern analytics tools/platforms. Demonstrated success in implementing advanced analytics, machine learning, and predictive modeling. Strong experience with healthcare data systems (e.g., Epic, claims data, population health tools) and regulatory requirements. Excellent communication and relationship-building skills with the ability to influence and align stakeholders at all levels. Strong vendor management and budgeting experience. Strategic thinker with a hands-on approach and strong execution capability. Exposure to Lean philosophies.
III. Physical Demands and Environmental Conditions:
Work is considered sedentary. Position requires work indoors in a normal office environment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
We're striving to make respect a part of everything we do at UMass Memorial Health - for our patients, our community and each other. Our six Standards of Respect are: Acknowledge, Listen, Communicate, Be Responsive, Be a Team Player and Be Kind. If you share these Standards of Respect, we hope you will join our team and help us make respect our standard for everyone, every day.
As an equal opportunity and affirmative action employer, UMass Memorial Health recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives and backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, protected veteran status or other status protected by law.
If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentacquisition@umassmemorial.org. We will make every effort to respond to your request for disability assistance as soon as possible.

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