Senior Operations Engineer

Are you passionate about process change improvement, innovation and committed to promoting excellence in Health and Business Analytics? If so, bring your talents and passion to a role where you are a catalyst.

Posting Highlights

We currently have two positions available for the role of Full Time Senior Operations Engineer in The Centre for Advanced Analytics, Data Science, and Innovation (CAADSI) team at Central City in Surrey, B.C. We are proud of the innovation, dedication, partnership and tenacity of our physicians, employees and volunteers. More than any building or technology, it's our people who make Fraser Health distinct.

Build on your career experience as you:

• Demonstrate skills to work on one of the most in-demand healthcare roles – design and planning; and operational process improvement.
• Lead the application of Industrial Engineering/Lean Six Sigma principles and Change Management techniques for the optimization of patient flow and system wide enterprise planning analytics.

Bring your leadership skills and technical expertise to:

• Analyze, diagnose, design and implement solutions to design, plan and improve system performance.
• Design and re-engineer processes to streamline patient flow using Lean Principles and Six Sigma Methodology
• Provide evidence to assist Fraser Health leadership in decision-making processes.
• Manage and guide individuals and teams through change

Are you motivated to join us? We will be looking for you to have the following:

• Master’s degree in Operations Management, Health Care Management, Industrial Engineering or another quantitative field.
• Five (5) years recent related experience in systems planning, systems improvement or an equivalent combination of education and experience.

Valued Benefits

A career with Fraser Health will offer you the opportunity to be a part of a dedicated team of providers in a dynamic and rewarding health care environment. We offer a competitive compensation and benefit package, including comprehensive health benefits coverage.

Fraser Health is responsible for the delivery of hospital and community-based health services to over 1.9 million people in 20 diverse communities from Burnaby to Fraser Canyon on the traditional territories of the Coast Salish and Nlaka’pamux Nations. Our team of nearly 45,000 staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care.

Effective October 26^th 2021, all new hires to Fraser Health will need to have full COVID 19 vaccination (have received a full series of a World Health Organization “WHO” approved vaccine against infection by SARS-COV-2, or a combination of approved WHO vaccines). Please note this applies to all postings, and individual medical exemptions must be approved by the Provincial Health Officer.

Work with our dedicated team and join our commitment to provide quality care to our patients and clients. We invite you to apply today and find out why more than 95% of new employees recommend Fraser Health to their friends and family as an excellent place to work! We value diversity in the work force and aim to maintain an environment of Respect, Caring & Trust.

Curious to learn what it’s like to work here? Like us on Facebook (@fraserhealthcareers), follow us on Twitter & Instagram (@FHCareer), or connect with us on LinkedIn (fraserhealthcareers) for first-hand employee insights.

Supporting the Vision, Values, Purpose and Commitments of Fraser Health including service delivery that is centered around patients/clients/residents and families:

Reporting to the Director, Operations Engineering and Service planning or designate, the Senior Operation Engineer leads the application of Industrial Engineering/Operations Research principles and techniques for the optimization of patient flow and systems efficiency and leads operational analysis, diagnostic, modeling, solutions design and implementation of projects to improve systems performance. Re-engineers inefficient and disintegrated processes to streamline patient flow through the system and achieve an optimal use of resources. Provides the Director, Managing Consultant, staff, and other teams with evidence based information to assist Fraser Health (FH) Leadership in their decision-making processes. Supports the implementation and impact of proposed improvement strategies and solutions by compiling, processing, interpreting, creating, and communicating relevant data.

1. Responsible for providing a comprehensive site-specific efficiency diagnostic including conducting process analysis, modeling and root cause analysis to identify and quantify system, structural and process barriers that impede patient flow, negatively affect patient outcomes or are inefficient. Participates in the design and quantifies the impact and sustainability of corresponding solutions.
2. Responsible for providing analysis of assigned systems-wide issues that constraint flow, quantifying impact of current state, modeling and assessing alternative solutions and generating information that will assist FH Leadership decision-making on projects. Extracts necessary information from available databases, designs and conducts physical sampling where data is unavailable. Applies complex modeling and optimization techniques in the generation of solutions and recommends systems-wide process improvement strategies.
3. Designs and develops a variety of metrics & KPIs to better understand Fraser Health's organizational performances.
4. Proposes solutions and strategies to leadership using data science methodologies and approaches. Proactively offers advanced analytical approaches to enhance the delivered products.
5. Supports lead data scientists to cultivate and develop a proven and sustainable machine learning foundation and competency for Fraser Health.
6. Supports lead data scientists and clinical teams across the health authority to strategize and develop Machine Learning (ML) and Artificial Intelligence (AI) products.
7. Identifies, engages, and collaborates with specific partners as required for the development of ML/AI products.
8. Constructs data pipelines to identify, clean, and integrate large sets of structured and unstructured datasets from disparate sources for use in advanced data science models and products. Enhances data collection procedures to include information that is meaningful for building a ML model.
9. Uses ML models to identify patterns, trends, and opportunities that can make predictions or reduce workload across various clinical and operational domains within Fraser Health.
10. Implements ML models into production by collaborating and guiding developers. Assists in model deployment and optimizing for performance.

Education and Experience

Master's degree in Statistics, Mathematics, Computer Science, Operations Research, Industrial Engineering or another quantitative field plus five (5) years' recent related experience with data analytics, or an equivalent combination of education and experience.

Competencies

Demonstrates the leadership practices of the Fraser Health Leadership Framework of Clear, Caring and Courageous and creates the conditions for people to succeed.

Professional/Technical Capabilities:

• Demonstrated abilities, with appropriate techniques, tools and resources to support management in planning, projecting/forecasting and operations decision making.
• Demonstrated abilities with industrial and business engineering and project management with long term and complex projects.
• Expertise with flow process improvement such as Toyota/Lean Production Systems, Theory of Constraints, Six Sigma, Queuing Theory and/or Simulation.
• Proficient with visualizing large data in BI reporting tools: Power BI, Tableau, etc.
• Thorough knowledge of the principles, processes, procedures and methods involved in data mining, data analysis, statistical methods, and machine learning.
• Knowledge and experience in statistical and data mining techniques including but not limited to: Simulation, GLM/Regression, Random Forest, Boosting, Trees, clustering analysis, decision trees, neural networks, etc.
• Experience writing computer code, querying databases, and using statistical computer languages: Python, SLQ, R, etc.
• Demonstrated expertise in knowledge synthesis and translation activities.
• Demonstrated ability to communicate effectively, both verbally and in writing.
• Ability to work collaboratively in an interdisciplinary environment.
• Ability to analyze complex issues and develop recommendations using facilitation and consensus building.
• Demonstrated critical thinking and analytical skills including statistical analysis and evaluation methodology.
• Ability to prepare and present information to multiple audiences.