Associate Director, Workplace/FM Data Science Manager

MSD

. 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 .

Posted 4/21/2026full-timeRahway • New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $173,200 - $272,600 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudIoTPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor Degree required
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 API‑based system integration
Hands‑on experience designing and delivering Generative AI solutions (beyond PoCs)
Practical knowledge of Large Language Models (LLMs)
Experience integrating GenAI with Data lakes, analytics platforms, and enterprise systems, unstructured data sources
Familiarity with cloud‑based architectures (Azure, AWS, or equivalent)
Working knowledge of LLMOps / MLOps concepts
Practical understanding of AI Governance, Security & Enterprise Readiness

Benefits

Comp & perks

medical
dental
vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsPythonAPI integrationGenerative AILarge Language Modelscloud architecturesLLMOpsMLOpsAI Governancedata science

Soft Skills

stakeholder managementcommunicationleadershipmentoringcollaborationinnovationproblem-solvingorganizational skillsanalytical thinkingteam development

Certifications

Bachelor Degree