Global Security – Consumer Security Operations - Product Delivery Manager

Drive day-to-day delivery of GMP and key Consumer Security dependencies, coordinating across product, engineering, operations, and control partners to deliver release-ready outcomes.
As a Product Delivery Management Senior Associate within Global Security’s Consumer Security organization, you will lead day-to-day delivery for the CAP Index – Guard Management Platform, moving work from priority to clear scope, dependency-aware planning, tested outcomes, and supported releases. You will coordinate across product, engineering, vendor, operations, and control partners to ensure work is defined, tracked, launched, documented, and supported.You will also provide shared portfolio coverage (reporting, governance, data and control dependencies, training, peak-cycle support) and support connected capabilities such as Unified Event Management and the Consumer Security data lake, helping manage dependencies, delivery cadence, and readiness.
Job Responsibilities
Own the day-to-day delivery cadence for GMP, including delivery planning, backlog readiness, dependency coordination, and issue triage through completion.
Develop and maintain delivery plans, timelines, milestones, decision logs, risk/issue logs, and stakeholder-ready status reporting.
Gather business, operational, and technical requirements; translate needs into epics, user stories, acceptance criteria, and supporting documentation in Jira/Confluence.
Coordinate Agile execution (planning, refinement, reviews, demonstrations) and track/resolve blockers and cross-team dependencies.
Coordinate testing and release readiness activities (functional testing coordination, end-to-end test planning, UAT readiness, defect intake, fallback planning, production validation coordination).
Provide delivery support for UEM and the CS Data Lake, including tracking work items, coordinating dependencies, and supporting readiness activities aligned to the portfolio roadmap.
Track product health signals and recurring issues; coordinate vendor issues (as applicable) and ensure defects/recurring problems are logged and progressed.
Cross-product reporting, governance, CS surveys, data ecosystem dependencies, control documentation, training, and coverage during peak delivery cycles, and support future Consumer Security products.
Required qualifications, capabilities, and skills
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent relevant experience.
Experience supporting product delivery, technology delivery, business analysis, project management, SaaS platforms, or operational change initiatives.
Proficiency with Jira and Confluence, with strong technical writing skills to clearly translate complex information for diverse stakeholders.
Strong analytical and problem-solving skills, with excellent attention to detail and the ability to analyze detailed business requirements; experience with business intelligence and analytics tools (e.g., Tableau, Power BI, Qlik, Looker, Databricks) and utilizing large language models (LLMs).
Moderate proficiency in SQL, with experience using data integration technologies and performing data analysis.
Demonstrated project management skills with experience in Agile methodologies, including managing epics and user stories within Jira.
Excellent communication skills, capable of presenting complex data concepts to both technical and non-technical audiences.
Ability to work with large and complex systems and datasets, ensuring data quality and integrity through rigorous testing and validation processes.
Preferred qualifications, capabilities and skills
Proficiency in at least one cloud data lake platform (e.g., Databricks Lakehouse, AWS Lake Formation, ThoughtSpot), relevant data services (e.g., AWS S3, Redshift; Azure Data Factory; Google Cloud BigQuery), and one scheduling/orchestration tool.
Experience in data engineering, modeling, and cloud architecture design, with a focus on building solutions for data lineage, metadata management, and data quality improvements.
Demonstrated knowledge of data integration principles, including foundational concepts, patterns, best practices, API-first design methodologies, GraphQL, and Kafka services.
Experience building intelligent analytics products utilizing AI/ML techniques.
Exposure to security or real estate operations, including understanding physical security, investigation processes, and incident management, to support data responsibilities.
Certification or Accreditation in data management or data governance (e.g., CDMP, DGSP).
Demonstrated curiosity and initiative to explore data, identify root causes, and uncover opportunities for efficiency improvements.