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
