Build and maintain integrated plans that connect OEM and silicon schedules, device availability, hardware and software manifests, BIOS, firmware, drivers, images, lab capacity, assessment criteria, evidence requirements, remediation work, and decision gates. Create trusted partnerships with HDE and HDV program managers, OEM counterparts, silicon partners, engineering and quality teams, internal marketing and sales, and senior leaders. Clarify roles, service expectations, handoffs, decision rights, and escalation paths across organizational boundaries. Drive portfolio prioritization using customer personas, product and sales importance, reviewer influence, new silicon or architecture risk, technical novelty, historical escapes, and available capacity. This role requires the confidence to manage requests and weigh the resource capacity, schedule implications, and ROI. Ensuring clear outcomes, owners, capacity plan, or approved tradeoffs. Establish and run scalable governance, including weekly portfolio reviews, milestone and readiness reviews, integrated risk and dependency tracking, gate-exception records, and decision logs. Ensure every material risk has an accountable owner, next action, date, closure evidence, and escalation path. Facilitate readiness and entrance decisions using defined criteria, evidence confidence, hard-stop conditions, and explicit exceptions. Record the decision authority, rationale, residual risk, and evidence that would change the posture; never allow schedule pressure or incomplete data to become a silent gate bypass. Translate assessment findings, telemetry, quality signals, and partner status into concise, decision-ready recommendations for technical and executive audiences. Separate measured facts from targets and estimates, surface unknowns and data-quality limitations, and communicate what needs to happen next. Drive timely issue routing and follow-through across OEM, silicon, Windows, tooling, and operational owners. You will not own every technical fix, but you will make ownership gaps, aging dependencies, unresolved tradeoffs, and decisions requiring leadership action impossible to miss. Define and improve portfolio metrics such as on-time verdicts, critical-criteria coverage, evidence completeness, receipt-to-verdict time, partner response aging, owner and disposition timeliness, capacity returned through automation, and covered post-launch escapes. Partner with data owners to preserve definitions, provenance, and confidence. Scale the system through reusable intake contracts, templates, playbooks, service-level expectations, retrospectives, and AI-assisted workflows. Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development. OR equivalent experience. 1+ year(s) of experience managing cross-functional and/or cross-team projects. Bachelor's degree and 8+ years of experience in engineering, product or technical program management, product development, data analysis, or a related field, or equivalent experience; including 6+ years leading cross-functional or cross-team initiatives. 2+ years of experience managing cross-functional or cross-team projects with interdependent technical, operational, partner, and business deliverables. Experience gathering business and technical requirements and translating them into program plans, milestones, readiness criteria, decision gates, metrics, and accountable actions. Demonstrated experience using data to assess program health, identify and mitigate risks, manage dependencies, resolve ambiguity, and influence technical and business decisions. Demonstrated ability to communicate complex technical and program information clearly to engineers, partner organizations, business stakeholders, and senior leaders, and to drive alignment without direct authority. Experience with hardware-software system readiness, Windows or another operating-system platform, device development, drivers, firmware, servicing, reliability, or product-quality programs. Experience managing external engineering relationships with OEMs, silicon vendors, suppliers, or other partners where trust, confidentiality, shared dependencies, and influence without authority are essential. Experience designing or operating readiness assessments, launch gates, validation programs, quality reviews, risk-acceptance mechanisms, or post-launch learning loops. Experience with Azure DevOps, Power BI, Kusto or KQL, SQL, Azure Data Explorer, or comparable planning and analytics platforms, with a solid understanding of metric definitions and data provenance. A track record of establishing governance and reusable mechanisms that improve delivery consistency, decision quality, organizational accountability, and measurable business or customer outcomes across a highly matrixed environment. Experience applying automation or AI to program workflows, analysis, reporting, or risk identification while preserving human accountability and sound judgment. PMP, PgMP, Lean, Six Sigma, Agile, or comparable program-management training or demonstrated practical mastery of those disciplines. Experience reading or writing code, queries, technical specifications, or automation logic sufficiently to collaborate effectively with software engineering, data, and tooling teams.