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Technology Operations Enterprise Data Strategy Jobs in Georgia

Munich Re

Technical Architect - Data, Analytics & AI

Macon, GA · Hybrid

$61.25 - $78.75/hr

... technologies, tools, and platforms and provide strategic recommendations for enterprise adoption ... Interactive and operational reporting * Statistical and regulatory reporting * Master Data ...

Pwc

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.

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Technology Operations Enterprise Data Strategy information

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.

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 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.

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:
Technology Operations Enterprise Data Strategy jobs near you

Technical Project Manager - Retail Data & AI Products

001 Brown & Brown, Inc

Sandy Springs, GA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Technical Project Manager – Retail Data & AI Products Locations: Atlanta, GA / Dallas, TX / Daytona Beach, FL. We are looking for a Technical Project Manager to lead large‐scale retail business data transformation initiatives, driving modernization of the data ecosystem using cloud and platform technologies such as Azure, Google Cloud, Databricks, Snowflake, and more. The role owns end‐to‐end program delivery, aligns business outcomes with data strategy, and enables advanced analytics, AI, and machine‐learning use cases across insurance operations. How You Will Contribute Strategy & Data Transformation Leadership Define and drive the enterprise data transformation vision & roadmap. Align data programs with business priorities. Establish governance frameworks for data platforms, AI/ML initiatives, and enterprise data standards. Translate strategic goals into execution‐ready program plans. Program Delivery & Execution Owner of end‐to‐end delivery of large‐scale data programs—data platforms, lakes, pipelines, AI initiatives. Define scope, timelines, dependencies, and success criteria. Manage cross‐team coordination, risks, issues, and escalation paths. Ensure delivery meets standards of scalability, reliability, performance, data quality, and governance. Portfolio & Roadmap Management Maintain and evolve the enterprise data program roadmap. Align delivery with build‐vs‐buy strategy and portfolio governance. Prioritize initiatives based on business value and ROI. Track delivery with tools such as Azure DevOps. Financial Management & Governance Own program budgets, forecasts, and cost tracking. Apply FinOps principles for cloud cost optimization. Report on program KPIs and value realization. Ensure financial accountability and transparency. Stakeholder & Executive Engagement Partner with senior business leaders to align outcomes and priorities. Deliver concise executive‐level communication and status reporting. Translate technical progress into business‐impact narratives. Data Platform & Technology Oversight Collaborate with Data Engineering to define architecture, pipelines, and platform roadmaps for Azure, Snowflake, Databricks, ETL/ELT, and streaming/batch architectures. Drive adoption of scalable, reusable data platform capabilities. Quality, Testing & Governance Define program‐level testing strategies, UAT frameworks, and quality standards. Ensure adherence to data governance, privacy, compliance, and AI governance standards. AI & Innovation Enablement Leverage AI tools (e.g., Copilot) to improve delivery efficiency. Support the development of AI/ML‐ready data platforms and ensure responsible AI practices. Continuous Improvement & Operating Excellence Drive retrospectives and continuous improvement processes. Introduce scalable delivery frameworks, tools, and best practices. Foster a culture of accountability, transparency, and innovation. Skills & Experience to be Successful Required: Bachelor's degree in computer science, engineering, business, or related field. 8+ years of program management experience in data, analytics, or enterprise technology. Proven track record delivering complex, cross‐functional data programs at scale. Strong understanding of data platforms (data lakes, warehouses, pipelines) and distributed system architecture. Experience with Agile / hybrid delivery models and program management tools such as Azure DevOps. Exceptional stakeholder management and communication skills. Preferred: Experience in finance or broking insurance. Exposure to Azure, Databricks, Spark, Kafka, Snowflake, AI/ML platforms, and workflows. PMP or equivalent certification. Experience with data governance, compliance, and cloud cost optimization (FinOps). Large‐scale enterprise transformations, strategic thinking, cross‐functional leadership, and influence. Excellent executive communication and storytelling. Ability to translate ambiguity into structured execution plans; ability to influence teams without direct authority. Benefits & Total Well‐Being Health benefits: Medical, Rx, Dental, Vision, Life Insurance, Disability Insurance. Financial benefits: ESPP, 401(k), Student loan assistance, Tuition reimbursement. Mental health & wellness: Free mental health services and enhanced advocacy services. Paid time off, holidays, and preferred partner discounts. Equal Opportunity Employer As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives. #J-18808-Ljbffr

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