1

Technology Operations Enterprise Data Strategy Jobs in Georgia

Data Solutions Engineer

Atlanta, GA

$110K - $132K/yr

Your work will support and enhance our enterprise data strategy, including master data management ... Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ...

Data Strategy-Manager

Atlanta, GA · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve ... You embrace technology and innovation to enhance your delivery and encourage others to do the same.

... enterprise-wide data architecture to function-specific plays across Finance, HR, and Operations ... Technology is at the core of change today, and we are one of the world's leaders in helping drive ...

Showing results 41-60

Technology Operations Enterprise Data Strategy information

What is Technology Operations Enterprise Data Strategy?

Technology Operations Enterprise Data Strategy refers to the planning, management, and implementation of data-related processes and technologies across an organization to support its operational goals. This role involves setting standards for data governance, ensuring data quality, and aligning data initiatives with business objectives. Professionals in this field work to optimize data flow, storage, and security, enabling better decision-making and efficiency. They often collaborate with IT, business units, and data analytics teams to ensure data assets are leveraged effectively across the enterprise.

How does a Technology Operations Enterprise Data Strategy professional typically collaborate with other departments within an organization?

Professionals in Technology Operations Enterprise Data Strategy work closely with multiple departments, such as IT, business analytics, compliance, and executive leadership. They often facilitate communication between technical teams and business stakeholders to ensure that data initiatives align with organizational goals. This role involves coordinating data governance policies, integrating new technologies, and supporting data-driven decision-making across the enterprise. Successful collaboration requires strong communication skills and a deep understanding of both technical and business perspectives.

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

To excel in Technology Operations Enterprise Data Strategy, you need strong expertise in data management, analytics, and strategic planning, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, data governance frameworks, and certifications like CDMP or AWS Certified Data Analytics is highly valuable. Exceptional problem-solving, stakeholder management, and communication skills help drive cross-functional initiatives and align data strategies with business goals. These competencies ensure effective data-driven decision making, operational efficiency, and long-term organizational success.

What is the difference between Technology Operations Enterprise Data Strategy vs Data Analyst?

AspectTechnology Operations Enterprise Data StrategyData Analyst
CredentialsTypically requires a degree in IT, Data Science, or related fields; certifications like CDMP or CBIP are commonRequires a degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate or Tableau Desktop Specialist are common
Work EnvironmentFocuses on strategic planning, data governance, and infrastructure within enterprise IT teamsFocuses on data collection, analysis, and reporting to support business decisions
Employer & Industry UsageUsed in large organizations managing enterprise data assets and IT operationsUsed across industries for data reporting, visualization, and insights

While Technology Operations Enterprise Data Strategy professionals focus on aligning data initiatives with business goals and managing data infrastructure, Data Analysts primarily analyze data to generate actionable insights. Both roles require strong analytical skills but differ in scope and strategic involvement.

What cities in Georgia are hiring for Technology Operations Enterprise Data Strategy jobs?

Cities in Georgia with the most Technology Operations Enterprise Data Strategy job openings:

Enterprise Data Security Architect

Primerica, Inc.

Duluth, GA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Primerica rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Join Our Team
In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America's Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America's Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it's like to work at "one of the best places to work in the metro Atlanta".
About this Position
The Cybersecurity Security Architect serves a significant role in strategic planning, product design, and solution testing. The position is instrumental in leading the evaluation of technology acquisitions and managing integrations for the company's technology acquisitions. The architect must have extensive knowledge of multiple disciplines/environments as they will be considered a subject matter expert across the enterprise. The role will serve as a leader and guide on projects, providing frameworks, architecture documents, emerging technologies, enterprise data programs, sample application code, and adherence to enterprise standards.
Salary range is between $180K - $250K USD Annual
Responsibilities & Qualifications
Minimum requirements
  • Defining overarching security reference architectures, patterns, standards, and blueprints that align with business objectives while incorporating secure-by-design strategies.
  • Design controls to mitigate AI-specific risks: prompt injection, data poisoning, model inversion/extraction, adversarial attacks, hallucination exploitation, supply-chain attacks on models/datasets, and agentic/multi-agent system vulnerabilities.
  • Define secure patterns for generative AI deployments including RAG architecture, vector databases, LLM gateways, output filtering, guardrails, red-teaming processes, and responsible AI governance.
  • Leverage threat modeling frameworks such as MITRE ATLAS, OWASP, NIST AI RMF, etc.
  • Architect and support enterprise data security controls: classification, encryption (at-rest, in-transit, in-use), data loss preventions (DLP), data security posture management (DSPM), access governance, and tokenization.
  • Secure big data / analytics environments (data lakes, warehouses, feature stores, model registries) and ensure lineage, provenance, and integrity in data use.
  • Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate.
  • Command the ability to properly assess security architecture against regulatory requirements and frameworks.

Preferred requirements
  • This position would require 10 years of security architecture or senior security engineering experience as previously described.
  • 3+ years of direct experience securing AI/MK/GenAI systems, data science platforms, or large-scale data environments
  • CISSP, CCSP, and CISM highly preferred
  • NIST Cybersecurity Framework practical experience is required
  • SABSA or TOGAF framework experience is also preferred.
  • Deep knowledge of modern cloud security (Azure, AWS, GCP), container/kubernetes security, and zero-trust principles.
  • Strong understanding of AI/ML concepts: model lifecycle, training/inference pipelines, embeddings, RAG, agents, fine-tuning, and common attack vectors.
  • Proven track record performing threat modeling and risk assessments for both traditional systems and AI workloads.
  • This person would specifically also understand how to deploy and manage security tech such as DLP (Data Loss Prevention), SIEM systems (e.g., Splunk, ELK), tokenization/masking, and compliance frameworks (GDPR, HIPAA, SOC 2).
  • This person would specifically also understand how to lead Incident Response activities such as monitoring for anomalies, investigating breaches, and lead recovery efforts while minimizing data exposure.
  • If requested, provide some indirect or matrix supervisory responsibility as a project manager, although this does not mean formal supervision of team members (e.g., the position doesn't complete performance evaluations, hire or terminate)

Hybrid Role
Location: Duluth, GA
FLSA status:
This position is exempt (not eligible for overtime pay):
Yes
Our Benefits:
  • Day one health, dental, and vision insurance
  • 401(k) Plan with competitive employer match
  • Vacation, sick, holiday and volunteer time off
  • Life and disability insurance
  • Flexible Spending Account & Health Savings Account
  • Professional development
  • Tuition reimbursement
  • Company-sponsored social and philanthropy events

It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.
At Primerica, we believe that diversity and inclusion are critical to our future and our mission - creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.

What Primerica employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom