Technical Project Manager – Retail Data & AI Products

Strategy & Data Transformation Leadership

Define and drive the enterprise data transformation vision and roadmap.
Align data programs with business priorities.
Establish Governance Frameworks For: Data platforms, AI/ML initiatives, Enterprise data standards.
Translate strategic goals into execution-ready program plans.
Program Delivery & Execution

• Own 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 (engineering, analytics, business)
• Risks, issues, and escalation pathways
• Ensure Delivery Aligns With: Scalability, Reliability, Performance, Data quality and governance standards
• Portfolio & Roadmap Management
• Maintain and evolve the enterprise data program roadmap
• Align delivery to build vs. buy strategy and portfolio governance
• Drive prioritization based on business value and ROI
• Manage delivery tracking via Azure DevOps or similar platforms

Financial Management & Governance

Own program budgets, forecasts, and cost tracking
Ensure financial accountability and transparency
Apply FinOps principles for cloud cost optimization
Establish and report on program KPIs and value realization

Stakeholder & Executive Engagement

Partner with senior business leaders to align outcomes and priorities
Deliver clear, concise executive-level communication and status reporting
Translate technical progress into business impact narratives
Influence cross-functional teams without direct authority

Data Platform & Technology Oversight

• Collaborate With Data Engineering To Define: Architecture, Data pipelines, Platform roadmaps
• Ensure Alignment With Modern Data Ecosystems: Azure, Snowflake, Databricks, ETL/ELT pipelines, Streaming/batch architecture’s
• Drive adoption of scalable, reusable data platform capabilities
• Quality, Testing & Governance
• Define Program Level: Testing strategies, UAT frameworks, Quality standards
• Ensure Adherence To: Data governance, Privacy and compliance, AI governance standards
• Embed observability, monitoring, and data quality controls
• AI & Innovation Enablement
• Leverage AI tools (e.g., Copilot, AI-assisted development) to improve delivery efficiency
• Support development of AI/ML-ready data platforms
• Ensure responsible AI practices and governance compliance

Continuous Improvement & Operating Excellence

• Drive retrospectives and continuous improvement processes
• Improve operational efficiency across programs
• Foster a culture of accountability, transparency, and innovation

Required Skills & Experience

• 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), Distributed systems and architecture principles
• Experience With: Agile / hybrid delivery models, Program management tools (e.g., Azure DevOps)
• Exceptional stakeholder management and communication skills

Preferred Experience

• Finance or Broking Insurance Exposure
• Azure, Databricks, Spark, Kafka, Snowflake
• AI/ML platforms and workflows
• PMP or equivalent certification
• Experience With: Data governance and compliance, Cloud cost optimization (FinOps)
• Large-scale enterprise transformations
• Strategic thinking with execution rigor
• Cross-functional leadership and influence
• Ability to translate ambiguity into structured execution plans
• Executive communication and storytelling
• Teammate Benefits & Total Well-Being
• Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
• Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
• Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
• Additional information regarding this policy can be found on our careers page.