Associate Director, WorkplaceFM Data Science Manager

Job Description

The GWES Delivery team sits within the GSMG/GWES DS&I organization and is responsible for supporting Workplace Services and Facilities Management with advanced analytics insights and data-driven decision making. The team partners closely with key GWES functions including all Facilities Management operations Integrated Facilities Management (IFM) Real Estate finance Workplace Experience & Smart Buildings Asset management and sustainability.

We are seeking a Workplace/FM Data Science Manager to help lead the development of analytics solutions that deliver actionable insights and improved operational and business outcomes across the global workplace and facilities portfolio. Reporting to the Director Data & Analytics GWES this role will work closely with GWES directors regional leaders and executive stakeholders to understand complex business challenges and design appropriate analytical approaches and models.

This is a hands-on leadership role requiring strong expertise in extracting scientific and business value from data sources (operational financial sensor/IoT service provider RE data) using advanced analytics techniques including statistical modeling optimization simulation and machine learning.

Key Responsibilities

• Develop a deep understanding of GWES stakeholder needs and priorities (Workplace Services Facilities Management Real Estate IFM Smart Buildings Sustainability ) and translate them into scalable analytics solutions aligned with business objectives.

• Establish and maintain strong partnerships with global regional and site-level stakeholders acting as a trusted analytics advisor.

• Lead the definition and delivery of complex analytics initiatives working closely with GWES business and IT teams to select the right analytical methodologies and data approaches.

• Provide periodic performance and insight reporting to GWES Leadership Regional Leads Site leads and Service Owners as required.

• Act as functional lead for a team of Business Performance Analysts and Data Analysts supporting GWES initiatives.

• Maintain awareness of data science and analytics market trends particularly as they apply to workplace services facilities operations Real Estate IoT/smart buildings and service performance analytics and proactively identify opportunities to increase value.

• Manage and develop a team of 1-2 data scientists ensuring high-quality delivery continuous skill development and career growth within our Company.

• Build and nurture a community of practice for advanced analytics within GWES/GSMG mentoring junior colleagues and contributing to a strong scalable analytics capability.

• Contribute to innovation and experimentation including ideation proof-of-concepts pilots and measurable value realization.

• Communicate analytics insights clearly and effectively to business audiences helping drive organizational adoption of data-driven decision making and supporting the evolution from descriptive to predictive and prescriptive analytics.

• Promote a culture where analytics modeling and data are recognized as key differentiators for operational excellence and employee experience.

• Support the GWES Data & Analytics Lead in developing standardized performance reporting dashboards and insights for leadership and operational reviews as needed. Collaborate on performance management frameworks including KPI definition SLA monitoring and continuous improvement initiatives.

• Anticipate future analytics demands related to people technology budget and business strategy and design scalable solutions to support evolving GWES priorities

Travel will be required (15%)

Required Education:

• Bachelor Degree required. Advanced degree in data science mathematics statistics or computer science or related fields preferred

Required Experience:

• Minimum of 5 years of relevant delivery of complex analytical projects (industrialized validated) across data & analytics digital platforms or enterprise systems.

• Demonstrated experience taking AI or advanced analytics use cases from prototype to production.

• Strong background in data & analytics solutions for operational domains

• Solid software engineering foundation (Python preferred) and APIbased system integration

• Handson experience designing and delivering Generative AI solutions (beyond PoCs) : Practical knowledge of Large Language Models (LLMs) and Experience integrating GenAI with Data lakes analytics platforms and enterprise systems unstructured data sources

• Familiarity with cloudbased architectures (Azure AWS or equivalent)

• Working knowledge of LLMOps / MLOps concepts

• Practical understanding of AI Governance Security & Enterprise Readiness

Preferred Experience:

• Experience with Workplace strategy Facilities management or Real estate business is a plus and desirable.

Soft Skills/Competencies:

• Self-motivation proactivity and ability to work independently with minimum direction Proven knowledge of business processes and industry/market trends within the pharmaceutical space

• Excellent business acumen with proven ability to understand business processes in detail both at global and region/country levels and translate these into user stories and detailed business requirements

• Proven leadership and negotiation skills along with good analytical and problem-solving skills

• Excellent interpersonal and communication skills (English both oral and written) along with the ability to communicate appropriately and confidently with colleagues from different backgrounds and seniority levels

• Excellent organizational skills with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively

Required Skills:

Preferred Skills:

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Effective September 5 2023 employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week Monday - Thursday although the specific days may vary by site or organization with Friday designated as a remote-working day unless business critical tasks require an on-site Hybrid work model does not apply to and daily in-person attendance is required for field-based positions; facility-based manufacturing-based or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note this Hybrid work model guidance also does not apply to roles that have been designated as remote.

The salary range for this role is

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including but not limited to relevant education qualifications certifications experience skills geographic location government requirements and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive if applicable.

We offer a comprehensive package of benefits. Available benefits include medical dental vision healthcare and other insurance benefits (for employee and family) retirement benefits including 401(k) paid holidays vacation and compassionate and sick days. More information about benefits is available at can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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