Join to apply for the Lead, Healthcare Analytics role at SE Health

Join us in re‑imagining health care with Canada's largest social enterprise. SE Health is leading a multi‑year enterprise transformation project that leverages human‑centered design to be at the forefront of innovation within the healthcare sector. As a leader in home care, we are expanding and enhancing our capabilities to provide personalized experiences using new platforms and cloud‑native architectures, ensuring privacy and security by design. Our transformation is grounded in guiding principles to prioritize team decisions, long‑term planning, process standardization, data‑driven insights, and balanced user adoption. If you are driven by the desire to have an impact, change the world of health care and shape the future, we invite you to be part of our journey.

SE Health seeks a Lead, Healthcare Analytics to bridge the gap between business needs and advanced analytical solutions. This unique role combines strategic healthcare analytics with data science leadership, requiring someone who can seamlessly transition from stakeholder workshops to Python coding sessions.

The successful candidate will own the end‑to‑end analytics lifecycle – from understanding complex healthcare workflows to deploying data science and machine learning models in production. This position requires proficiency in stakeholder management and technical implementation, leading both the discovery of opportunities and the delivery of solutions. The scope of work includes stakeholder management, requirements gathering, leading workshops, end‑to‑end Data Science and Machine Learning (ML) accountability, data discovery and EDA, creation of compelling data visualizations/reporting, deployment and testing.

This role can be remote or hybrid.

Key Responsibilities
Technical Development

Guide and mentor exploratory data analysis (EDA) and feature engineering efforts

Design, develop/code, and validate machine learning models

Conduct advanced statistical analysis to derive model selection and training

Lead end‑to‑end ML project development including EDA, feature engineering, model selection, training and validation

Oversee design and implementation of ML pipelines using Azure ML, including model deployment, monitoring and retraining

Conduct advanced statistical analysis, hypothesis testing and model validation using appropriate methodologies

Technical Team Leadership

Lead cross‑functional ML projects from conception through deployment and monitoring

Conduct technical reviews of ML models,



code quality and deployment strategies

Lead and mentor data scientists and analysts

Establish technical standards for ML development

Collaborate with data engineers on ML pipeline design

Prioritize machine learning use cases across the organization

Champion adoption of predictive analytics in operations – this includes presenting results, solutions and their application

GoTool Platform Involvement

Manage and evolve the GoTool AI/MLOps platform (our in‑house AI/ML platform)

Ensure platform reliability and performance

Drive platform enhancements based on user needs

Manage quarterly model refreshes and updates

Coordinate with stakeholders on platform roadmap

Business Analysis & Requirements Leadership
Stakeholder Engagement & Discovery

Lead comprehensive requirements gathering using diverse methodologies (workshops, interviews, process mapping, surveys)

Facilitate analytical discovery sessions with clinical and operational leaders

Map complex healthcare workflows to identify analytics opportunities

Build deep understanding of departmental value chains and pain points

Solution Design & Consulting

Translate business problems into analytical solution architectures

Create business cases for predictive analytics initiatives

Lead end‑to‑end analytical solutions spanning reporting to ML

Present complex analytical concepts in business‑friendly language

Develop roadmaps aligning analytics capabilities with business strategy

Lead cross‑functional analytics projects from conception to value realization

Manage stakeholder expectations throughout the project lifecycle

Ensure analytical solutions integrate seamlessly with business processes

Measure and communicate business impact of deployed solutions

Required Qualifications
Technical Expertise
Data Science & Machine Learning (Must Have)

Strong statistical knowledge and experimental design

Experience with Azure ML or similar cloud ML platforms is a strong asset

MLOps and model lifecycle management experience

ADS creation scripts (Python, Pandas, GeoPandas)

General knowledge of modern BI/analytics platforms





Experience with SQL and data manipulation

Business & Soft Skills

Proven track record and extensive experience leading requirements gathering for complex analytical projects

Proven track record of translating business needs to technical solutions

Experience with process mapping and workflow analysis

Strong facilitation and workshop leadership skills

Exceptional written and verbal communication skills

Ability to influence without authority

Experience presenting to executive leadership

Strong project management capabilities

Mentoring and team development experience

Educational Requirements

Relevant degree in Health Sciences, Analytics, Data Science, Computer Science, Statistics, or related field; or combined experience

Healthcare industry experience is a strong asset – particularly in home and community care

Why Join SE Health?

Competitive Compensation – total rewards package including salary, benefits, pension, performance incentives, on‑demand pay, supportive housing and exclusive staff perks.

Flexibility & Support – hybrid model with work‑from‑home options, adaptable scheduling and an inclusive culture.

Meaningful Impact – as a social enterprise, your work directly supports improving lives across Canada; innovation is encouraged.

Growth & Development – tuition assistance, training and career advancement opportunities across our growing organization.

About SE Health
At SE, we love what we do. Every day, we bring hope and happiness to clients, homes, and communities across Canada. We treat each person with dignity and love, build empathy and do the right thing. As a not‑for‑profit social enterprise, we share knowledge, provide the best care and help each client to realize their most meaningful goals for health and wellbeing. We are an inclusive workplace offering competitive pay, benefits, pension and work‑life balance. We’ll be a great place to work, and we hope you’ll join our team.

In the interest of the health and safety of our patients/clients, employees and greater public health, SE Health requires that those who wish to work for this organization be fully vaccinated against COVID‑19. Fully vaccinated means a person has received both doses of the COVID‑19 vaccine and it has been 14 days since the last dose.

SE Health is committed to the success of all its employees. If you need accommodations because of illness or disability, please contact the Talent Acquisition team at [email protected] at your earliest convenience.

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📌 Lead, Healthcare Analytics (Manitoba)
🏢 SE Health
📍 Manitoba