{"id":1760155,"url":"https://alion.io/job/qualcomm-it-program-manager-staff-enterprise-data-transformation","title":"IT Program Manager, Staff - Enterprise Data Transformation","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":74,"open_postings":1170,"ghost_share":0.193,"stale_share":0.106,"repost_share":0.449,"time_to_fill_p50_days":75,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Management","role_family":"Management","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":169200,"max":253800,"currency":"USD","period":"year","gross":null,"usd_annual":253800},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Outlook","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Delta Lake","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"MLFlow","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rest-Assured","optional":true},{"name":"Scrum","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-11T00:43:29Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Company:\nQualcomm IncorporatedJob Area:\nInformation Technology Group, Information Technology Group > IT Program ManagementGeneral Summary:\nThe Staff IT Program Manager will lead the planning and execution of Qualcomm’s enterprise data transformation, a multi-year initiative to establish the Enterprise Data Hub (EDH) as a unified, trusted, scalable, and governed foundation for enterprise data products, analytics, reporting, applications, and advanced technology solutions. The role will coordinate business and technology workstreams spanning data strategy, architecture, Databricks platform development, data engineering, data integration, migration, governance, quality, security, analytics, organizational change, adoption, and legacy-system retirement. The Program Manager will establish integrated governance, roadmaps, plans, budgets, dependencies, decision forums, and outcome measures; direct delivery across internal teams, software providers, systems integrators, and business functions; and provide transparent reporting to executive sponsors and steering committees. The role will ensure that enterprise data capabilities align with and support major business platforms and transformations, including CRM, HCM, ERP, PLM, supply chain, finance, customer, product, engineering, and other systems of record. This role reports to the Office of Planning & Delivery (OPD), part of the Office of the CIO (OCIO).\nPRINCIPAL DUTIES AND RESPONSIBILITIES:\nLeads the full lifecycle of a large, global, cross-functional enterprise data transformation from strategy and business case through platform development, data onboarding, migration, solution delivery, deployment, adoption, operationalization, and value realization.\nBuilds and maintains an integrated, outcome-based transformation roadmap and plan of record covering EDH platform evolution, Databricks capabilities, data architecture, data engineering, data products, integrations, governance, security, analytics, migration, legacy retirement, organizational change, and operational readiness.\nEstablishes the program governance model, decision rights, workstream structure, delivery methodology, and executive reporting cadence; facilitates steering committee, program leadership, architecture, data governance, dependency, risk, and decision forums.\nPartners with executive sponsors, business data owners, product owners, enterprise architects, and IT leaders across finance, sales, supply chain, manufacturing, human resources, product development, engineering, commercial operations, security, infrastructure, analytics, and other functions to define the transformation vision, scope, business outcomes, delivery priorities, and accountabilities.\nDirects the development and evolution of EDH as the enterprise platform for governed data products, business intelligence, self-service analytics, enterprise applications, data sharing, and advanced analytical capabilities.\nCoordinates Databricks platform strategy and implementation, including lakehouse and medallion architecture, scalable ingestion and transformation pipelines, batch and streaming patterns, data sharing, workspace and environment strategy, observability, performance, cost management, release management, and platform operations.\nDrives enterprise data architecture and design decisions involving common data models, primary and master data, metadata, semantic layers, lineage, data contracts, retention, lifecycle management, interoperability, and secure access.\nEnsures data governance is embedded throughout the transformation, including data ownership and stewardship, quality and certification, cataloging, lineage, privacy, security, regulatory compliance, retention, and auditable controls.\nMaintains an end-to-end view of critical enterprise data flows, including data origination, transformation, enrichment, distribution, consumption, and control points across systems.\nLeads data discovery and intake processes that translate business needs, pain points, analytical requirements, and strategic priorities into defined data products, use cases, and platform capabilities.\nEstablishes data classification and certification practices, including heightened quality, security, reconciliation, and approval requirements for critical, regulated, financial-reporting, and executive-decision datasets.\nPartners with architecture and engineering leaders to establish reference architectures, reusable patterns, engineering standards, and platform guardrails that improve scalability, interoperability, reliability, security, and delivery speed.\nPromotes DataOps and software-engineering practices across the platform, including version control, CI/CD, automated data testing, environment promotion, deployment controls, documentation, and production observability.\nDefines and monitors service-level objectives and operational measures for platform availability, pipeline reliability, data freshness, processing performance, incident response, recovery, and stakeholder support.\nCoordinates data and integration requirements across enterprise solutions such as CRM, HCM, ERP, PLM, finance, supply chain, customer, product, engineering, and related systems of record, ensuring alignment on data ownership, models, interfaces, timing, controls, and downstream consumption.\nLeads the migration of data assets, pipelines, reports, dashboards, and analytical workloads from legacy data warehouses and platforms to EDH, including dependency analysis, sequencing, mapping, reconciliation, parity validation, business transition, retirement planning, and realization of operating-cost reductions.\nLeads the strategy and execution of enterprise business intelligence rationalization, including assessment of existing reports, dashboards, data extracts, analytical applications, and tools; establishes criteria for retention, consolidation, redesign, migration, certification, and retirement; and partners with business owners to simplify the analytics landscape, improve trust and usability, reduce duplication and cost, and increase adoption of governed enterprise data products and standard BI capabilities.\nDrives the development and adoption of reusable, domain-aligned data products that provide trusted business definitions, certified metrics, consistent dimensions, appropriate controls, and secure consumption across reporting, analytics, applications, and other enterprise use cases.\nPartners with business and technology leaders to establish data-domain ownership, product-management practices, delivery priorities, service expectations, and measurable outcomes for enterprise data products.\nManages interdependencies across platform, domain, governance, analytics, integration, security, infrastructure, and enterprise-application workstreams and owns consolidated scope, schedule, budget, resources, quality, risks, issues, assumptions, dependencies, milestones, changes, decisions, and actions.\nDirects integrated data and solution readiness, including source-to-target mapping, data profiling, cleansing, reconciliation, data quality thresholds, lineage, access controls, testing, performance validation, business acceptance, deployment, cutover, stabilization, and operational handoff.\nEstablishes consistent delivery practices for enterprise data initiatives, including intake, prioritization, estimation, planning, dependency management, architecture review, release management, status reporting, escalation, and benefits tracking.\nIntegrates stakeholder engagement, communications, data literacy, role-based training, organizational readiness, adoption, and sustained changes in business and technology practices into the transformation plan.\nEstablishes an enablement model for data engineers, analysts, data scientists, data stewards, product owners, power users, and business consumers, including reusable patterns, communities of practice, training, office hours, documentation, and adoption support.\nLeads the transition to a sustainable data-product and platform operating model with clear ownership, governance, service management, support processes, financial management, performance measures, and continuous-improvement mechanisms.\nDirects systems integrators, software providers, consultants, and other partners; coordinates workforce planning and reviews statements of work, staffing models, estimates, deliverables, acceptance criteria, commercial commitments, invoices, performance, and change requests.\nEstablishes the benefits-realization framework by defining financial and non-financial baselines, target outcomes, measures, timing, and accountable business owners; monitors value throughout delivery and ensures ongoing tracking of adoption, data quality, data trust, platform usage, delivery speed, legacy retirement, productivity, and business impact.\nAnticipates cross-workstream risks and resource constraints, escalates decision needs early, drives mitigation and recovery plans, and provides concise, fact-based executive communications on program health, options, tradeoffs, financial outlook, adoption, and business outcomes.\nApplies lessons learned and leading practices from prior data, cloud, analytics, and enterprise-application transformations and operates with substantial independence, executive presence, sound judgment, and the ability to influence outcomes without direct authority.\nCORPORATE & PROFESSIONAL COMPETENCIES:\nAnalytical Expertise - Analyzes, interprets, integrates, and verifies complex business, program, platform, and data information from multiple sources to identify critical trends, make informed decisions, and address complex enterprise transformation challenges.\nClear Communication - Communicates complex program, data, architecture, governance, and technical information accurately and promptly, adapting messages and methods to the evolving needs of executive, business, technical, and external audiences.\nCoaching & Development - Seeks feedback and continuous learning, promotes data literacy, provides leadership and constructive coaching to program participants, and aligns individual and team development with transformation and organizational goals.\nCollaborative Teamwork - Builds effective working relationships across functions, business units, geographies, data domains, enterprise-application teams, and external partners while demonstrating and encouraging respect, dignity, and fairness.\nFunctional Knowledge - Leverages advanced enterprise data, analytics, platform, and program-management expertise together with operational, financial, and organizational knowledge to create business cases, assess cost and value, and connect work across the enterprise.\nImpactful Innovation - Develops and implements impactful data, analytics, automation, and platform approaches for complex situations while encouraging experimentation and alternative viewpoints that challenge fragmented or legacy practices.\nStrategic Execution - Prioritizes key objectives and manages complex, cross-functional work while meeting quality expectations, navigating ambiguity and shifting priorities, delivering commitments, and adhering to Qualcomm standards of ethical behavior.\nMINIMUM QUALIFICATIONS:\nBachelor’s degree in Information Technology, Information Systems, Computer Science, Data Science, Engineering, Business, or a related field.\n8+ years of program or project management experience, including leadership of large, complex, global technology or business transformation programs.\nDemonstrated experience leading a significant enterprise data platform, data modernization, analytics, cloud, or related transformation through multiple lifecycle phases.\nProgram leadership experience with modern cloud data platforms and technologies such as Databricks, data lakehouse architectures, cloud data services, data integration, data engineering, data warehousing, business intelligence, or analytics platforms.\nExperience coordinating work across data platform, architecture, engineering, governance, 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