Senior Technical Program Manager

The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed.

We are seeking a strong, data-driven Senior Technical Program Manager who knows that delivering on that promise takes foresight, planning and agility. The Sr. Technical Program Manager will be a key member of the team, and will leverage their technical knowledge and project management skills to drive delivery of our data architecture target state implementation, data model migration, and data automation workstreams that underpin our Infrastructure Data Visualization Portal and other capabilities. They will translate business decisions into data analytics and visualization requirements, prioritize the teams sprint backlog, and support engagement with data providers to ensure data is accessed and ingested consistently and correctly.  This individual will be responsible for ensuring excellent and timely execution following agile practices and implementing appropriate agile ceremonies to manage risks and dependencies. This individual will require a unique blend of strong data analytics and leadership skills to manage and prioritize the data requirements across our suite of data and analytics tools and dashboards.  They will bring passion for data-driven decisions, user experience, and execution to the role.

Key responsibilities include:

• Steer execution of data architecture and data model migrations to meet the needs of FinOps, Data Science and Business Intelligence teams, as well as other key partners
• Lead technical program conversations on architectureal approach, system design and data management and compliance
• Actively manage backlog for data migration, automation, and ingestion workstreams
• Develop and maintain data source and feature request ticketing process in Jira
• Partner across ID&A teams to ensure data requirements are met and timeline risks are managed and mitigated
• Establish appropriate agile processes to track and manage dependencies across disciplines in staying on track to meet short-term and long-term implementation roadmaps
• Collaborate with product teams to refine, prioritize, and deliver data and feature requirements through technical acumen, customer-first perspective, and enterprise mindset
• Support development of appropriate reporting processes to measure OKRs and performance metrics for delivery of our data lake architecture
• Create an environment of continuous improvement by steering and delivering reflective conversation and regular retrospectives, project standups, workshops, communications, and shared processes to ensure transparency of development process and project performance
• Facilitate stakeholder engagement, decision-making, and building trust across data providers and critical stakeholders
• Work with IT Asset Management, Enterprise Architecture, and Business & Vendor Management teams to define enterprise-scalable solutions that meet the needs of multiple stakeholders 
• Partner with data engineering teams to develop, test and deliver the defined capabilities and rapidly iterate new solutions
• Facilitate and prepare content for leadership updates on delivery status and key decisions needed to support project delivery and de-risk implementation obstacles
• Partner in PI planning meetings and other Agile ceremonies for the team: pressure testing plans for feasibility and capacity
• Monitor and ensure compliance with SDLC standards
• Ensure and instill documentation best practices to ensure designs meet requirements and processes are repeatable
• Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights
• Establish ongoing metrics and units of measurement to clearly define success and failure points and to guide feature/capability prioritization based on business priorities
• Draft impactful and comprehensive communications, presentations, and talking points for key business reviews, executive presentations, and discussions; escalate and facilitate resolution of risks, issues, and changes tied to product development
• Act as point of contact for internal inquiries and key partnerships across Technology and business teams

Minimum Requirements:

• 8+ years of experience delivering data lake or backend data platform capabilities and features built using modern technology and data architecture techniques
• Proven track record for managing large, complex features or products with multiple partners
• Technical understanding of event-driven architectures, API-first design, cloud-native technologies, and front-end integration patterns in order to discuss technical challenges about system design and solutioning
• Ability to create clarity and execute plans in ambiguity, and to inspire change without direct authority
• Self-starter who is able to provide thought leadership and prioritization with limited guidance and in a complex environment
• Experience in data analytics, data architecture, or data visualization
• Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
• Experience facilitating Agile, Scrum or other rapid application development teams to deliver technology solutions on time, on budget, and to spec
• Capable of leading technology and culture change with excellent strategic and technical thought leadership, and strong program management skills
• High attention to organization and detail in a deadline-driven work environment
• Proven ability to solve problems and resolve issues with appropriate communications and escalation criteria
• Outstanding oral and written communication skills with strong personal presence; active listening skills, summarization skills, and lateral thinking to uncover and react to emerging opportunities
• Deep understanding of the full lifecycle of rpodcut development, from concept to delivery, including Test Driven Development (TDD)
• Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack
• Experience working with technology business management, technology infrastructure or enterprise architecture teams a plus
• Experience with design and coding across one or more platforms and languages a plus
• Bachelors degree in computer science, data engineering, data analytics, or other technical discipline, or equivalent work experience preferred