Architecture and Platform Manager

Role Overview

• Lead the delivery, maintenance and support of the Data & Analytics Architecture and Platform ensuring reliability, security, cost-efficiency, and business alignment.
• Maintain deep technical knowledge of the platform stack (compute, storage, databases/data warehouses, networking, orchestration, monitoring, security) to guide architectural and implementation decisions.
• Develop and execute integrated departmental plans, policies and procedures and provide input on departmental business and technical strategies, goals, objectives.
• Execute platform strategy, roadmap, and operating model in partnership with Product Family and division leadership; ensure alignment to Objectives and Key Results (OKRs).
• Lead resource planning and allocation with a focus on execution, delivery, and measurable outcomes.
• Own and maintain the product backlog; continuously help and refine and prioritize so that 3–4 upcoming sprints are always ready for execution.
• Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership and cross-team updates.
• Establish working relationships with vendors (Technology and Consulting), partners and cross teams and holding them accountable.
• Lead organizational change for the adoption of new platform, DevOps, MLOps, Self Service and analytics workflows; prioritize improvements using iterative sprints informed by user feedback and metrics.
• Establish and oversee the technology infrastructure for data and analytics to ensure systems are compliant, secure, functional, cost effective and aligned to business goals always including platform lifecycle from concept through deployment and operations.
• Manage your organization and direct reports including budget and providing developmental opportunities to direct reports and first-level managers.

Requirements

• Bachelor’s degree or higher
• 8+ years of experience as an Information Technology manager including DevOps, cloud and data architecture in a large-scale, hybrid cloud and on-prem environment
• 5+ years of experience leading implementation of scalable computing infrastructure for data and AI solutions, including cloud architecture, DevOps and MLOps (AWS, Azure, Google Cloud)
• 5+ years of experience with data engineering and data pipelines on cloud platforms, databases and data warehouses
• 5+ years of experience in leading and partnering with cross-functional teams, involving key stakeholder relationship management.

Tech Stack

• AWS
• Azure
• Cloud

Benefits

• health insurance
• flexible spending accounts
• health savings accounts
• retirement savings plans
• life and disability insurance programs
• paid time away from work
• relocation assistance