• Serve as the primary delivery partner for the Streaming Intelligence product line and DPT, converting roadmap priorities into actionable project plans with clear milestones, owners, and dependencies. • Co-own quarterly and annual planning with the Principal PM—from ideation through go-to-market—ensuring engineering capacity, vendor timelines, and business priorities are aligned. • Track and report on product line KPIs defined by the Principal PM (accuracy benchmarks, processing latency, content coverage, downstream adoption) and surface risks or deviations early. • Partner with the data team on agentic AI enablement—coordinating efforts to surface data models and semantic views to the broader business through AI-powered interfaces, including usage tracking and accuracy assurance. • Manage delivery cadence for platform infrastructure initiatives including data governance rollouts, real-time streaming capabilities, and pipeline migration efforts—tracking phased delivery across multiple months with clear metrics of success. • Lead end-to-end program management for AI pipeline initiatives, including the game film analysis benchmarking program that evaluates vision models (e.g., Gemini Flash, Gemini Pro) against human-tagged ground truth across 28+ annotated fields per play. • Manage the cadence of model evaluation cycles: coordinating game imports, prompt engineering iterations, accuracy scoring, and cost analysis across multiple AI models. • Drive vendor integration workstreams—tracking deliverables, SLAs, and roadmap alignment with external computer vision and AI partners alongside the Principal PM. • Build and maintain project documentation for hybrid human-AI workflows, including escalation paths for ambiguous plays, quality review processes, and fallback handling. • Facilitate cross-team visibility across product, engineering, data, design, and QA to ensure aligned execution mapping back to PlayOn’s unified product objectives: Engaged Communities, Resilient Services, and New Customer Markets. • Own dependency mapping, risk management, and blocker resolution for strategic AI initiatives spanning multiple engineering teams. • Develop and maintain project dashboards, status reports, and executive-level communications that increase transparency of engineering progress to the broader business. • Provide governance and optimization for Atlassian tools (Jira, Confluence) to ensure standardized workflows, consistent estimation practices, and clear traceability from strategy to execution. • Champion operational improvements to planning cycles, stakeholder coordination, cross-org meetings, and feedback loops—creating transparency through standardized tooling and repeatable frameworks. • Actively incorporate AI tools (e.g., Claude, automation platforms) into your own delivery workflows: automating status reports, synthesizing meeting notes, generating risk analyses, and accelerating documentation. • Contribute to PlayOn’s broader AI maturity journey by demonstrating AI-augmented delivery practices that can be adopted across the PMO and engineering organization.

• Design, implement, and maintain enterprise data warehouse solutions following Data Vault 2.0 methodology • Develop and optimise Hubs, Links, Satellites, PIT, and Bridge tables • Lead conceptual, logical, and physical data modelling activities across multiple initiatives • Define and promote data architecture standards, modelling guidelines, naming conventions, and documentation practices • Ensure scalability, performance, reliability, and maintainability of data warehouse architectures • Provide technical leadership and architectural guidance to Data Engineers and development teams • Drive the standardisation and automation of ELT processes, metadata management, and deployment practices • Collaborate closely with Business Analysts, Product Owners, Data Governance teams, and other stakeholders to translate business requirements into robust data solutions • Support reporting and analytics teams by delivering optimised and business-ready data structures

• Designing and maintaining scalable database architectures for analytical workloads, ensuring optimal performance through indexing, partitioning, caching, and query tuning. • Developing, automating, and maintaining data ingestion, transformation, validation, and loading pipelines to support high-quality data flows. • Building reusable data connection modules and backend infrastructure components to streamline data operations and support future scalability. • Supporting data preprocessing, normalization, and rigorous data quality validation processes. • Contributing to cloud migration planning, governance, and evaluation of cloud solutions for security, compliance, interoperability, and performance. • Producing comprehensive data models, architecture diagrams, flowcharts, and technical documentation for internal and external stakeholders. • Utilizing PowerShell scripting and automation to enhance data engineering workflows and system integration. • Collaborating with technical, security, and stakeholder teams throughout the project lifecycle to deliver high-impact data solutions.

• Design the vision and blueprint of the organization's data framework to support public health informatics objectives. • Design and manage data systems, establishing policies for how data is stored, accessed, and governed. • Coordinate various data sources within the organization to ensure consistency and integrity across the data environment. • Integrate new data technologies into existing IT infrastructures. • Perform data modeling and design activities to support reporting, analytics, and operational needs. • Develop and maintain ETL pipelines to support data movement and transformation. • Write and optimize SQL queries in support of data operations and system requirements. • Administer database environments in coordination with application and infrastructure teams. • Submit weekly status reports detailing completed and ongoing project activities, including risks as applicable. • Maintain accurate records of work performed and hours expended in accordance with OTS Task Order requirements.