D&T Analytics Engineering Engagement Manager

$150,000 - $180,000/Yr

CBRE - New York, NY

Full-time - Mid Level

New York, NY

10,001+ employees

Real Estate

About the position

The D&T Analytics Engineering Engagement Manager at CBRE Investment Management is responsible for leading the analytics value chain, collaborating with senior business stakeholders to identify and articulate business problems, quantify impacts, and manage the execution of analytics solutions. This role focuses on leveraging advanced analytics and AI to drive business value across various functions, ensuring effective delivery and adoption of analytics engineering products.

Responsibilities

• Design, draft and quantify a high impact analytics use case pipeline, spanning digital dashboards, advanced analytics and AI, with a sharp focus on business value
• Lead and manage the funnel across the various stages of ideation, solutioning, delivery and adoption, articulating clearly the state of affairs, both in qualitative and quantitative KPIs across phases
• Develop strong business relationships with key stakeholders and institute AI council to drive advanced analytics and AI ideations across the board
• Drive design thinking workshops and UI/UX visualizations, in partnership with various SME teams, ensuring adoption and value delivery for end state deliverables
• Assume single point of accountability and delivery responsibility for use cases, working closely with business stakeholders and analytics delivery teams
• Holds the pen on articulating use case prioritization and phasing of outcomes, maximizing demand and supply and ensuring fast and efficient value extractions
• Master external orientation in understanding innovation and changing market landscapes in advanced analytics and AI, with respect to the industry, and bringing in ideas for driving innovation and partnerships
• Contribute to change management efforts, training, stakeholder upskilling with demos and release note and drive end-user adoption
• Partner with stakeholders to identify and plan for dependencies, fill analytics engineering product gaps, and research opportunities to provide new and enhanced analytics engineering products and/or features.

Requirements

• Bachelor degree in relevant fields such as computer science, engineering, data science or design
• Minimum of 4 years of experience in working within Real Estate or Asset Management
• Ideally minimum of 2 years of experience in working with information systems in areas such as business process analysis, requirements and design, data modeling, detailed functional design, test planning, and/or UAT execution
• Strong working knowledge of real estate investment management activities
• Ideally strong working knowledge of an agile software development process
• Excellent communication skills
• Excellent organizational skills and ability to manage multiple tasks
• Genuine passion/affinity with solving analytics engineering and AI needs.

Nice-to-haves

• Existing SME knowledge in analytics and AI
• Technical skills in understanding analytics and AI

Benefits

• Comprehensive benefits package
• 401k
• Career growth opportunities
• Discretionary bonus based on performance