Product Manager, Data Analytics

Title: Product Manager, Data Analytics

Location: Chicago, IL United States

Hybrid

 

Job Category:Investments

 Job Reference:2007095

 Job Type:Full-Time

Job Description:

At Equity Residential, we're dedicated to creating thriving communities, and we invite you to be part of our team. Embracing values like Diversity, Sustainability, and Total Wellbeing, we foster a workplace culture of authenticity and collaboration.

How We Deliver a Winning Performance:  

• Question Authority 
• Walk the Talk
• Share Knowledge
• Listen, not just Hear
• See the Glass Half Full
• Take Educated Risks
• Enjoy the Ride
• Share the Spotlight
• Do the Right Thing
• Test Your Limits 

We Care About Your Total Wellbeing:

• Physical Wellbeing: Medical, dental, and vision care 
• Social Wellbeing: 9 paid holidays, annual vacation time, paid sick leave, new parent benefits
• Financial Wellbeing: 401(k) Retirement Savings Plan, Rent Discounts, Competitive Compensation
• Community Wellbeing: Paid Community Service Hours
• Career Wellbeing: Leadership Development
• Learn more about our Total Wellbeing program here.

What You'll Be Doing:

The Product Manager, Data Analytics defines, delivers, and continuously enhances  Equity Residential's analytics and machine-learning enabled products. This role sits at  the intersection of data science, software engineering, and business strategy,  translating analytical insights into scalable systems and partnering with technical teams  to operationalize ML models into production-grade applications. 

The ideal candidate brings a blend of product management discipline, technical  fluency in machine learning and data pipelines, and strong program management  skills. This role collaborates closely with the Senior Software Engineer, data scientists,  and business partners to build intuitive, reliable products that drive measurable impact  on pricing, forecasting, and operational decision-making. 

ESSENTIAL FUNCTIONS:

Product Strategy & Roadmap 

• Collaborates with business, analytics, and engineering teams to define the vision,  strategy, and long-term roadmap for data and machine learning products. 
• Translates complex pricing, forecasting, and operational needs into clear product  requirements, user stories, and acceptance criteria. 
• Leads prioritization across competing business and technical needs, managing  backlogs and release plans. 
• Serves as product spokesperson and subject matter expert for analytics  capabilities across the enterprise. 

Machine Learning & Technical Collaboration 

• Works directly with data scientists to understand and refine model outputs,  feature relevance, performance metrics, and constraints. 
• Applies strong technical knowledge of machine learning workflows, pipelines,  APIs, and model monitoring to guide product direction and evaluate trade-offs.
•  Partners with the Senior Software Engineer Data & Analytics Products to  operationalize models into user-facing applications and enterprise systems. 
• Ensures all ML-driven product features emphasize explainability, compliance,  and reliability. 

Program Management & KPI Governance 

• Defines and tracks key KPIs (e.g., model accuracy, revenue lift, adoption, system  reliability) to measure product performance and business impact. 
• Establishes a structured cadence for reviewing KPIs with cross-functional  partners and initiating corrective actions or enhancements. 
• Drives successful delivery of milestones across pilots, MVP releases, and  product iterations. 
• Leads retrospectives and drives continuous improvement of analytics workflows,  model governance, and product execution processes. 

Stakeholder Partnership & Communication 

• Acts as the bridge between data scientists, software engineers, IT, Pricing, and  Operations teams. 
• Facilitates workshops, demos, feedback sessions, and cross-functional updates  to maintain alignment and transparency. 
• Communicates complex analytical concepts in a clear, business-relevant manner  for stakeholders at all levels. 
• Supports change management, training, and adoption for new analytics  capabilities across the organization. 

The Company may revise this job description from time to time as business needs require. It is not intended to be an exhaustive listing of all the functions of the job, nor to limit the Company's right to assign other functions to an employee in this position. This job description does not constitute a written or implied contract of employment.

JOB QUALIFICATION REQUIREMENTS 

• Bachelor's degree required; degree in Business, Computer Science,  Engineering, Analytics, Economics, or related field preferred. 
• 5+ years of experience in Product Management, Technical Program  Management, or Engineering, with a focus on data, analytics, or platform  development.
• Strong technical working knowledge of machine learning models, data  pipelines, model deployment workflows, and APIs—with hands-on  experience partnering with data scientists and engineers. 
• Demonstrated ability to integrate ML-driven features into end-to-end production  systems and evaluate model performance. 
• Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau,  etc.). 
• Proven experience with Agile methodologies, backlog management, sprint  execution, and iterative product delivery.
• Experience defining and managing program-level KPIs, establishing review  cadences, and leading data-driven decision processes. 
• Preferred: Experience in Revenue Management, pricing optimization,  forecasting, yield management, or similar analytical domains (real estate,  hospitality, travel, etc.). 
• Excellent verbal and written communication skills with ability to translate between  technical and non-technical stakeholders. 

COMPENSATION: 

$106,228 to $132,785 per year; in addition to base salary, a discretionary annual 16% bonus is provided.

The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.

WORKING ENVIRONMENT:

In alignment with the company's hybrid attendance policy, Monday-Thursday in office at 2 N. Riverside Plaza, Chicago, IL (Friday is a remote work day).

RELOCATION:

Equity Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.

PHYSICAL AND VISUAL ACTIVITIES: 

Ability to hear and speak well enough to converse verbally over the phone and in-person (expressing or exchanging ideas by means of the spoken or written word). Ability to interpret, evaluate and communicate detailed written or verbal instructions to others accurately and easily. Able to see well enough to use the computer effectively and read written communications.  Ability to lift, push, pull or carry up to 15 pounds for the dissemination of documents, supplies, materials, etc. to various locations throughout the office/facility. May be required to climb stairs depending on the property structure.