Data Science Project Manager

RealPage, Inc.; Richardson (TX); On-site; USD 95,000 - 161,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) plan with company match

Paid time off and holidays

Professional development opportunities

Performance-based bonus

Job summary

RealPage, Inc. seeks a Technical Project Manager to connect Data Science, Data Engineering, Software, Product, Operations, and business stakeholders to govern the Data Science lifecycle from problem definition to deployment and optimization.

The ideal candidate will have direct experience managing data science or ML projects in a fast-moving, technically complex environment and will turn complex work into clear, executable plans with strong coordination across teams and stakeholders.

Qualifications

• 5+ years of experience in technical project management.
• Direct experience managing data science or ML projects.
• Experience coordinating cross-functional teams (Data Science, Engineering, Product).
• Ability to understand data pipelines, experimentation, model evaluation, APIs, deployment, and production support.
• Strong planning, prioritization, dependency management, risk management, and status reporting.
• Excellent written and verbal communication skills.
• Experience in Agile, Scrum, Kanban or similar delivery environments.
• Hands-on experience using AI in workflows.

Responsibilities

• Data Science Project Execution: manage day-to-day DS/ML projects.
• Translate business problems into clear project scopes, milestones, deliverables, and success criteria.
• Coordinate work across data scientists, data engineers, software engineers, ML engineers, product managers, and stakeholders.
• Facilitate sprint planning, standups, retrospectives, status reviews, demos, and working sessions.
• Identify blockers early, drive resolution, and elevate decisions when necessary.
• Ensure project documentation, requirements, assumptions, and decisions are current and accessible.
• Provide concise, regular reporting on progress, risks, dependencies, and expected outcomes.
• MLOps and Production Readiness: track reproducibility, versioning, testing, deployment, monitoring, and documentation.
• Coordinate model release readiness, production handoffs, and post-deployment follow-up.
• Ensure data quality, model performance, drift, reliability, security, and support ownership.
• Establish repeatable processes for model promotion, retraining, monitoring, incident response, and retirement.
• Process Improvement: help create lightweight, scalable operating processes for the DS organization.
• Develop templates, dashboards, meeting cadences, and documentation standards to improve team effectiveness.
• Identify recurring delivery issues and suggest improvements to processes, tools, roles, or decisions.

Skills

Project management

Data science

Cross-functional coordination

Agile/Scrum/Kanban

AI workflows

Communication

Ambiguity handling

Job description

Overview

This role will serve as a connective layer across Data Science, Data Engineering, Software Engineering, Product, Operations, and business stakeholders. The Technical Project Manager will bring structure, visibility, and execution discipline to our Data Science Lifecycle—from problem definition and data preparation through model development, deployment, monitoring, and continuous improvement.

The ideal candidate has direct experience managing data science or machine learning projects and is comfortable working in a highly technical, fast-moving environment. This is a tactical, execution-oriented role for someone who enjoys turning complex work into clear plans, coordinating dependencies, removing blockers, and ensuring that projects progress toward measurable business outcomes.

Experience in PropTech, FinTech, real estate technology, financial services, or other data-intensive SaS environments is a plus. Experience with MLOps and production machine learning workflows is also highly desirable. Experienced effectively using AI within their own workflow to accelerate/amplify reach and impact. Experience working with sensitive, confidential personally identifiable, or financially relevant data is a plus.

Responsibilities

What You’ll Do

• Data Science Project Execution Manage the day-to-day execution of multiple data science and machine learning projects.


• Help translate business problems and strategic priorities into clear project scopes, objectives, milestones, deliverables, and success criteria. Maintain project plans, backlogs, roadmaps, timelines, dependencies, risks, decisions, and action items.


• Coordinate work across data scientists, data engineers, software engineers, ML engineers, product managers, and business stakeholders.


• Facilitate sprint planning, standups, retrospectives, status reviews, demos, and project working sessions.


• Identify blockers early, drive resolution, and elevate decisions when necessary.


• Ensure that project documentation, requirements, assumptions, and decisions are current and accessible.


• Provide concise, regular reporting on progress, risks, dependencies, and expected outcomes.


• MLOps and Production Readiness Help Track requirements for reproducibility, versioning, testing, deployment, monitoring, and documentation.


• Help coordinate model release readiness, production handoffs, and post-deployment follow-up.


• Ensure teams consider data quality, model performance, drift, reliability, security, and support ownership.


• Help establish repeatable processes for model promotion, retraining, monitoring, incident response, and model retirement.


• Process Improvement and Operating Rhythm Help create lightweight, scalable operating processes for the Data Science organization.


• Help develop templates, dashboards, meeting cadences, and documentation standards that improve team effectiveness.


• Help identify recurring delivery issues and recommend improvements to processes, tools, roles, or decision-making.

Qualifications

Required:

• 5+ years of experience in technical project management or related delivery role.


• Demonstrated experience managing data science, machine learning, analytics, or other highly technical projects.


• Experience coordinating cross-functional teams like Data Science, Engineering, & Product functions.


• Ability to understand technical discussions involving data pipelines, experimentation, model evaluation, APIs, deployment, and production support.


• Strong project management skills, including planning, prioritization, dependency management, risk management, and status reporting.


• Excellent written and verbal communication skills.


• Ability to operate effectively with ambiguity and bring structure to complex, evolving work.


• Strong attention to detail and follow-through.


• Experience working in Agile, Scrum, Kanban, or similar delivery environments.


• Hands-on experience on how to use AI in workflows effectively and responsibly.

Preferred:

• Strong understanding of the data science and machine learning lifecycle.


• Experience with MLOps, ML platforms, or production machine learning systems.


• Familiarity with model deployment, model registries, experiment tracking, CI/CD, workflow orchestration, model monitoring, data quality monitoring, and retraining processes.


• Familiarity with responsible AI, model risk management, privacy, explainability, bias, or regulatory considerations.


• Technical background in data science, computer science, engineering, analytics, mathematics, or a related discipline.

SALARY AND BENEFITS

RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:

• Health, dental, and vision insurance.


• Retirement savings plan with company match.


• Paid time off and holidays.


• Professional development opportunities.


• Performance-based bonus based on position.

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.

Pay Range

USD $94,700.00 - USD $161,300.00 /Yr.