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Chief Data Analytics Jobs in Virginia (NOW HIRING)

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Overview The Chief Data Architect leads the design and implementation of enterprise data ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

The Chief Data Architect leads the design and implementation of enterprise data architecture and ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

WISC Enterprises, LLC

Chief Data Architect

Mclean, VA · On-site

$150 - $200/hr

Overview The Chief Data Architect leads the design and implementation of enterprise data ... This role provides technical leadership for large-scale data integration, analytics, visualization ...

cillium corp

data analyst

Fairfax, VA · On-site

... 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 ...

Cillium Corp.

data analyst

Fairfax, VA

... 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 ...

Cornerstone Defense

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.

Now CFO

CFO Consultant

Richmond, VA · On-site

Provide strategic guidance on technology investments and data analytics * Develop and implement ... CFO consulting team. #IND2

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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 are popular job titles related to Chief Data Analytics jobs in Virginia? For Chief Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Chief Data Analytics jobs in Virginia look for? The top searched job categories for Chief Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Chief Data Analytics jobs? Cities in Virginia with the most Chief Data Analytics job openings:
Chief Data Analytics jobs near you

Chief Data Architect

WiSC Enterprises, LLC

Mclean, VA • On-site

$64.50 - $83/hr

Full-time

Re-posted 13 days ago

Job description

Overview
The Chief Data Architect leads the design and implementation of enterprise data architecture and big data solutions supporting mission and operational objectives. This role provides technical leadership for large-scale data integration, analytics, visualization, and data engineering initiatives.
Responsibilities
  • Define and implement enterprise Big Data architecture frameworks.
  • Translate mission and operational requirements into data systems, analytics, and visualization solutions.
  • Design scalable data architectures supporting structured, semi-structured, and unstructured data environments.
  • Guide engineering teams in developing data-centric solutions and analytic platforms.
  • Support data ingestion, management, transformation, and visualization initiatives.
  • Collaborate with multidisciplinary teams to extract operational insights from large and complex datasets.
  • Develop strategies for managing high-volume and high-velocity data environments, including real-time data feeds.

Required Qualifications
  • Experience designing and implementing Big Data architecture frameworks.
  • Experience translating mission needs into data system and analytics requirements.
  • Experience managing and integrating large-scale structured, semi-structured, and unstructured datasets.
  • Experience supporting data visualization and analytic solution development.
  • Strong understanding of enterprise data engineering and architecture principles.
  • TS/SCI Poly

Desired Qualifications
  • Experience supporting intelligence community or federal data modernization initiatives.
  • Experience with cloud-based big data ecosystems and enterprise analytics platforms.
  • Strong leadership and stakeholder engagement capabilities.
  • Advanced degree in Data Science, Computer Science, Engineering, or related field.

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