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Data Strategy Jobs in Georgia (NOW HIRING)

The individual must be able to assess and manage a variety of data-related technologies, platforms and standards with a strategic viewpoint aligned to business goals. Coordinate with IT peers to ...

AWS Data Architect

Atlanta, GA · On-site +1

$130K - $165K/yr

The AWS Data Architect is responsible for defining the data strategy and technical solutions for managing data across transactional, relational, and operational data stores within AWS. This role ...

Data Strategy * Data Governance * Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience ...

Data Strategy * Data Governance * Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience ...

Data Analyst

Atlanta, GA · On-site

$75K - $112K/yr

The Data Analyst will support implementation of organizational data strategies around driving decision-making and instructional practices through analyses and capacity building. Job Responsibilities:

Data Architect - Georgia

Atlanta, GA · On-site

$150K - $170K/yr

... data strategy with business goals ✅ What We're Looking For: 12+ years of experience in large-scale enterprise data systems Strong foundation in data architecture and data modeling Hands-on ...

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required: * Bachelor's degree * 6+ years of experience in strategy, management consulting, business ...

GenAI Data Modeler

Atlanta, GA · On-site

$52.75 - $68.25/hr

Responsibilities : • Design scalable Data Architectures that aligns with AIG's Data Strategy and Business goals. Assisting the integration of enterprise information assets, services, and business ...

Showing results 21-40

Data Strategy information

See Georgia salary details

$19.1K

$88.6K

$164.6K

How much do data strategy jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data strategy in Georgia is $88,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,579.00 and $112,818.00 per year, depending on experience, location, and employer.

How much do data strategists make?

Data strategists typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data management and analytics can earn higher salaries, often exceeding $150,000.

Is 40 too late for data science?

Data strategy professionals and data scientists can enter the field at any age, as skills such as programming, statistics, and domain knowledge are more important than age. Many successful data professionals start or transition into the field later in life, often leveraging prior experience and continuous learning through online courses and certifications. Age is generally not a barrier to developing a career in data science or related roles.

What is a Data Strategy job?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What is the highest paying data job?

The highest paying data jobs typically include Chief Data Officer, Data Science Director, and Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions often require advanced skills in data management, analytics, and leadership, along with relevant certifications or degrees. Compensation varies widely but senior-level roles in large organizations tend to offer the highest salaries in the data field.

What are some typical projects or initiatives a Data Strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements plans to collect, analyze, and utilize data to support business goals. They identify data needs, establish data governance standards, and work with teams to ensure data-driven decision-making using tools like analytics platforms and data management systems.

What are the key skills and qualifications needed to thrive in the Data Strategy position, and why are they important?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are the most commonly searched types of Data Strategy jobs in Georgia? The most popular types of Data Strategy jobs in Georgia are:
What are popular job titles related to Data Strategy jobs in Georgia? For Data Strategy jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Strategy jobs in Georgia look for? The top searched job categories for Data Strategy jobs in Georgia are:
What cities in Georgia are hiring for Data Strategy jobs? Cities in Georgia with the most Data Strategy job openings:
Infographic showing various Data Strategy job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $88,572 per year, or $42.6 per hour.

$61.25 - $78.75/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


Job description

King & Spalding is a leading global law firm with a commitment to excellence, innovation, and the seamless delivery of legal services. We harness innovative technology and exceptional talent to meet the complex needs of our clients in a fast-paced and dynamic legal landscape.

We are seeking a highly skilled and experienced Data Architect to join our dynamic legal organization. This role uniquely blends business architecture and data engineering, with a primary focus on supporting internal operations while also enabling transformational technology solutions for our legal practice groups. The ideal candidate will bridge technical expertise with legal domain knowledge, ensuring our data architecture aligns with both business operations and strategic client service objectives.
This role offers a unique opportunity to build and optimize the data architecture that powers critical business functions across marketing, finance, professional development, and legal practice, while also enabling advanced analytics and AI capabilities.

KEY RESPONSIBILITIES:

Business Architecture & Data Strategy

  • Develop and Maintain Business Architecture: Create and maintain business architecture models that support the organization's strategic objectives, with specific emphasis on legal operations and business functions.
  • Data Strategy & Governance: Define and implement a comprehensive data strategy that aligns with firm-wide business goals and facilitates effective data governance across all internal departments.
  • Data Flow Management: Design and manage data flows across the organization, ensuring data integrity, availability, and seamless integration between practice management, financial, HR, marketing, professional development, and operational systems.
  • Data Engineering: Implement data engineering practices to build robust data pipelines, ensuring efficient processing and transformation of structured and unstructured legal and business data.
  • Cross-Departmental Collaboration: Work closely with stakeholders across IT, legal operations, finance, HR, marketing, business development, and professional development to understand requirements and translate them into effective data solutions.
  • Standards and Best Practices: Establish and enforce data architecture standards and best practices, ensuring consistency and quality across enterprise systems.
  • Analytics Infrastructure: Develop and maintain analytics platforms that enable data-driven decision-making for business operations, resource planning, and strategic initiatives.

Legal Practice Group Support & AI Integration

  • Attorney Enablement: Liaise with attorneys and practice groups to understand their data and technology needs, translating requirements into practical data architecture and AI-driven solutions.
  • Legal Technology Integration: Active in the assessment, benchmarking, and deployment of legal technologies (AI, document automation, contract analysis, e-discovery, and research tools) that leverage the firm's data architecture.
  • Technology Assessment: May conduct research on legal technology trends and emerging platforms and provide support to pilot programs for practice-specific applications and client-facing technology solutions.
  • Training & Documentation: Assist the enablement and training teams with instructions and deliverables to attorneys and staff. Maintain thorough documentation of prototypes, experiments, design specifications, and methodologies.

Enterprise-Wide Responsibilities

  • Risk Management: Identify and mitigate data-related risks, ensuring compliance with legal industry regulations, privacy standards (attorney-client privilege, confidentiality), and security requirements.
  • Tools and Technology Evaluation: Evaluate and recommend tools and technologies that support the data architecture framework, with consideration for legal-specific platforms and vendor relations.
  • Performance Measurement: Measure impact and ROI for data and technology projects; establish metrics for adoption and effectiveness.

QUALIFICATIONS:

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field. JD, MBA, or Master's in Library Science (MLS) strongly preferred.
  • 5+ years of proven experience in business data architecture and data engineering, with demonstrated experience in a law firm or professional services environment.
  • Hands-on experience architecting and integrating data from multiple business systems including:
    • Marketing systems (CRM, marketing automation, business development platforms)
    • Financial systems (billing, accounting, financial reporting)
    • Professional development and learning management systems
    • Legal practice management systems (matter management, document management, time tracking)
    • HR and talent management systems
  • Familiarity with enterprise architecture frameworks (such as TOGAF)
  • Strong proficiency in data modeling, design tools, and data engineering practices
  • Knowledge of data governance and regulatory compliance in legal contexts
  • Familiarity with legal research platforms (Westlaw, LexisNexis), practice management systems, and legal-specific data requirements.
  • Strong analytical and problem-solving abilities
  • Excellent communication and collaboration skills, with proven ability to translate complex technical concepts to non-technical legal professionals
  • Strong project management acumen and cross-functional leadership capability
  • Enterprise architecture certifications are a plus.
  • Experience with legal document automation, e-discovery platforms (Relativity), and related tools preferred
  • Demonstrated experience leading or supporting AI/ML or analytics projects from concept to completion preferred
  • Experience managing pilot programs, technology assessments, and vendor relations in legal or professional services preferred
    • Deep familiarity with compliance, privacy, and security standards specific to legal technology
    • Experience with data integration across diverse business systems and creating unified data models
    • Experience with data science and analytics tools (Python, R, SQL)
  • Experience with machine learning, natural language processing, and AI applications for legal content and workflows preferred

The firm offers a generous total compensation package with bonuses and raises awarded in recognition of individual merit-based performance. All full-time Business Services employees may participate in King & Spalding's comprehensive benefit program including health and wellness plan, life and disability insurance, flexible spending accounts and a health savings account, a 401(k) plan, profit sharing plan, and a substantial Paid Time Off (PTO) program.

King & Spalding LLP (K&S) is committed to providing equal employment opportunity to all applicants and employees in full compliance with all state, federal, and local laws prohibiting discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, age, disability or any other status protected by applicable law.

We are proud of our remarkably cohesive culture, which now encompasses more than 2,500 lawyers and business professionals worldwide. We seek to attract and develop the very best talent to work with us.