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Senior Manager, Facilities Data & Analytics - Site Services

Senior Manager, Facilities Data & Analytics - Site Services

San Francisco StaffingSouth San Francisco, CA, US
5 days ago
Job type
  • Full-time
Job description

Senior Manager, Facilities Data & Analytics

We are seeking a strategic and visionary Senior Manager, Facilities Data & Analytics to build and lead the data foundation for our Facilities & Engineering (F&E) organization. This leader will transform how we leverage data to enhance infrastructure reliability, optimize capital planning, and drive operational excellence across our building and lab equipment assets. As a member of the F&E Leadership Team, this role is pivotal in shaping and executing our long-term digital transformation.

The Opportunity

Reporting to the Sr. Director of F&E, you will own the strategy and execution across three core pillars :

  • Data Governance & Process : Oversee and manage a robust data governance framework for ~30,000+ assets, ensuring data quality, consistency, and accessibility across our asset management platform. Ensure processes are efficient and consistent throughout the organization.
  • Analytics & Insights : Develop and scale a sophisticated analytics ecosystem, creating standardized reports, dashboards and predictive models that translate complex data into actionable insights for operational teams and strategic recommendations around capital investment, resource allocation and maintenance optimization for leadership.
  • Technology & Innovation : Act as a thought leader, identifying and championing the use of emerging technologies like AI and IoT to drive initiatives in predictive maintenance, resource optimization, and data-driven capital investment.

Who You Are

The ideal candidate is a proven leader with a strong technical foundation in data systems and a passion for solving business problems. You excel at managing teams of technical experts, influencing stakeholders in a complex environment, and delivering innovative, business-aligned solutions that create tangible value.

Key Responsibilities

Team Leadership & Development

  • Lead, coach, motivate and develop a high-performing team of ~4 employees including data specialists and reliability analytics experts.
  • Elevate employee engagement by fostering a collaborative, inclusive, and innovative team environment.
  • Given the highly regulated environment, ensure services comply with OSHA, cGMP, environmental, and other regulations.
  • Collaborate across global teams to support the development of shared tools and processes across the network.
  • Use outcome-based planning to set and monitor team goals, ensuring alignment with departmental and organizational objectives.
  • Ensure effective and efficient business processes are in place, leveraging agile behaviors and mindset, LEAN continuous improvement methodologies, innovation, and business metrics.
  • Design and implement training programs to enhance team expertise in data management, SAP systems, and analytics tools.
  • Promote a data-driven culture within the department by training leadership and teams on interpreting and applying analytics insights.

    • Data Governance

  • Establish and enforce a consistent data governance process and master data standards across ~30,000+ assets for SSF and Dixon sites aligned with Quality and Global standards.
  • Manage data entry requests for new and existing assets, maintenance materials (spare parts), and calibration data.
  • Serve as a data specialist for our SAP CMMS / CCMS, overseeing data integrity and ensuring systems are continually inspection-ready and compliant with cGMP standards.
  • Drive continuous improvement in data management processes, leveraging AI and other tools to enhance quality, consistency, and efficiency.
  • Act as an expert in mass asset data entry, recurring and ad hoc maintenance data queries and reporting within SAP.
  • Work across teams to align on data entry standards and behaviors which will enable analytics.
  • Collaborate with internal stakeholders to standardize data processes and align them with enterprise-wide governance practices.

    • Analytics & Operational Insights

  • Direct the development of a robust analytics toolkit, including standard reporting and advanced dashboards (Tableau, SAC, SEEQ, PiVision, etc), to support operational decision-making.
  • Lead the development and continuous improvement of business analytics tools.
  • Partner with the F&E Leadership Team to evolve KPIs and deliver insights that drive meaningful improvements in reliability, maintenance optimization, and capital planning.
  • Translate large, complex datasets into clear, compelling stories and strategic recommendations for senior leadership.

    • Technology Strategy

  • Translate strategic digital goals into actionable criteria for data management and analytics.
  • Guide the application of AI across all phases of asset managementfrom initial generation of asset data through maintenance and reliability analysis to inform capital replacement.
  • Lead initiatives such as maintenance and resource optimization, spare parts optimization and management, and predictive reliability analytics.
  • Act as a thought leader on emerging technologies (e.g., AI, IoT) as they relate to Operations and Maintenance and evaluate their application for improving energy efficiency, reliability and resource optimization.
  • Drive innovation by leveraging expertise across the Roche network, scaling solutions, and adopting and sharing technical best practices.
  • Stay informed on industry trends to recommend and apply innovative technologies that drive competitive advantage.

    • Collaboration & Partnerships

  • Effectively collaborate, partner and leverage capabilities across the organization including DS&P, our Integrated Facilities Management (IFM) provider, Design & Construction (D&C), Real Estate & Workplace Effectiveness (REWE), IT and various internal customer groups and global teams.
  • Lead change management initiatives, effectively communicating the value of data-driven approaches to a broad, cross-functional audience.
  • Establish and maintain a strong customer service mindset and ability to navigate complex and extensive partnerships across multiple teams.
  • Improve team performance by regularly soliciting and integrating feedback from stakeholders, key customers, and business partners.
  • Foster strong relationships through exemplary, timely, and consistent communication with staff, customers, and service providers.
  • Drive superior customer satisfaction in close collaboration with senior leadership.

    • Qualifications

    Experience & Education

  • Bachelor's degree in engineering, data science, or a related field required.
  • Masters degree in data science, statistics or engineering preferred but not required.
  • Minimum 5 years of related analytical and business experience working with business processes and systems.
  • Demonstrated experience in leading teams of technical experts or data specialists is required.
  • Familiarity with facilities system assets and maintenance data preferred.
  • Ability to solve problems autonomously with minimal guidance is required.
  • Detail-oriented, self-motivated, results driven and self-directed while remaining a strong team player is required.

    • Core Competencies

  • Technical Skills
  • Familiarity with SAP CMMS (S4 Hana) required.
  • Familiarity with ASPIRE SAP Finance System (S4 Hana) desired.
  • Experience developing business cases for technology and analytics initiatives, including quantifying ROI through maintenance optimization, capital deferment, and risk reduction.
  • Experience in dashboarding and analytics / dashboarding platforms (Tableau, SAC, etc.) required.
  • Programming experience (Python, etc.) desired.
  • Formal training in some level of statistics and / or statistical process control required. Experience with statistics modeling software such as JMP desired.
  • Familiarity or working knowledge of reliability metrics (Mean Time Between Failure, Mean Time to Repair, etc) desired.
  • Stakeholder Management
  • Excellent communicator both verbally and visually.
  • Demonstrated ability to develop analytics tools which tell a story and drive decision-making.
  • Able to lead change-management initiatives within an organization.
  • Creative thinker with a pragmatic approach to innovation and continuous improvement in large, regulated organizations.
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