We are searching for an experienced Senior Manager Technical Program Management responsible for building out and managing the newly formed Data Intelligence and Analytics (DnA) TPM org. Primary responsibilities will include helping drive business-critical initiatives across DnA and organizational process improvement. This role requires acute attention to detail, a strong sense of accountability, collaboration, technical understanding and experience managing cross workstream initiatives. In this role, you will directly contribute to the success of our Analytics team by developing Project Management best practices; building, planning and communication processes, managing stakeholders, outlining strategic project deliverables and coordinating directly with Product, Engineering, Analytics, Data Science and Business leaders across DTC (Streaming Direct to Consumer).
At DTC, data is central to measuring all aspects of the business, and critical to its operations and growth. DnA works closely with Business Operations, Data Engineering, Data Solutions, Product, and Partner Operations to drive tools and optimizations across the business. The Senior Technical Program Manager will function as the interface between these organizations - participating in coordination, alignment, road mapping for an overall seamless delivery of best-in-class consumer applications.
Create alignment on DnA wide communication strategy for intra-team communication, partner and stakeholder comms, and executive updates
Building a general COE for project management for DnA: e.g., unified project management tool, business models and processes with stakeholders and across DnA teams, automation and efficiency improvements
Coordination of teams for top ad-hoc reporting executive requests; working directly with Head of DnA to ensure answers are delivered in a timely and efficient manner
Being the point person for ensuring DnA is providing inputs and delivering their outputs on top priority DTC ongoing projects (e.g., launches, price rises)
Able and comfortable to work across partners and stakeholders from technical and strategic teams to business executives
Takes initiative and a proactive approach at finding ways to remove barriers to move a project forward
Accurately forecasting risks and mitigating exposure to accomplishing projects
Develop strong partnerships with engineering, product management and analytics leaders to drive focus on strategic and tactical program objectives
Build strategic relationships with key technology and business leaders to ensure program success
With an international manager and clients, working outside of standard business hours may be necessary
Maintain and prioritize DnA Engineering requests, understanding technical concepts to effectively communicate with Engineering and address blockers or constraints
Manage cross-vertical projects, assess risks, and identify the right resources by understanding team activities and solving analytical problems
Convert business requirements alongside DnA verticals into high-level technical specifications and identify key contributors by understanding technical concepts and the domain
Stay informed on upstream product changes and assess their impact on downstream data, requiring a deep understanding of data
10+ years of experience as a Technical Program Manager, Project Manager or Scrum Master for a technology team
Bachelor’s degree in related field
Background in Data Analytics, or history of working within an Analytics team preferred
Proven track record of building and leading teams of TPMs
Experience with large-scale organizational change efforts
Experience building broad, large-scale communications plans
Love for data and taking turning chaos into something actionable
High sense of ownership and a focus on building fast with awareness of limitations
Good understanding of ETL processing, Data Warehousing, familiarity with BI Visualization tools such as Looker and Tableau
Working knowledge of modern program management, analysis, and reporting tools such as Jira/Confluence, Airtable and MS Office
Knowledge of data analytics, BI, data engineering, and data modeling
Master’s degree and relevant certification desirable
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