Data Intelligence Lead at TELUS Health shaping CRM best practices and driving AI adoption. Focused on enhancing business performance through data insights and process automation.
About the role
- Senior Data Scientist delivering insights tying data to strategic execution for Workday's AI platform. Partnering with teams to analyze product adoption and optimize customer experience.
Responsibilities
- Serve as the P&T domain expert in product adoption analytics, providing technical and strategic thought leadership.
- Partner with key technical leaders and domain experts across Workday to map the data landscape, bringing transparency and data accessibility to key decision-makers.
- Design and influence enterprise-wide adoption analytics data connections, collaborating with data engineering teams on the design, scalability, and sustainability of associated pipelines.
- Translate complex data models into compelling narratives and data visualizations (including interactive dashboards and executive presentations) that drive organizational clarity.
- Provide guidance on data trends, governance, and use cases to stakeholders across all levels of the organization.
- Evangelize a customer-value-first approach to evaluating product health and adoption metrics.
- Forensic data investigation to identify root causes and translate technical findings into simple and focused conclusions.
- Leverage strong data ETL and data flow expertise to manage multi-step product telemetry and observability systems, ensuring data integrity.
- Demonstrate urgency and autonomy in problem-solving, proactively navigating cross-functional teams to identify and implement solutions for both known and emerging business challenges.
Requirements
- 8+ years of experience with advanced analytics, statistical modeling, and/or data science
- 8+ years experience simplifying complex technical concepts for diverse stakeholders.
- 6-8 years experience working autonomously in a highly matrixed, collaborative corporate environment.
- 5+ years experience enterprise BI platforms (e.g., Tableau, Sigma)
- Familiarity with front-end components or frameworks (e.g., React, Node.js, JavaScript)
- Strong project management skills
- Experience applying organizational change management principles
- Experience working within an Agile/Scrum framework.
- Experience within the SaaS, cloud, or enterprise technology industries
- Proven track record of moving seamlessly between high-level strategy and technical execution
- Strong communication and data storytelling skills
- Demonstrated experience designing, developing, and maintaining enterprise production-level data science-based products for business decision-making
- Experience on AWS stack (Redshift, Sagemaker), scripting languages (Python and R)
- Degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, Economics, or a related field) or equivalent practical experience.
- Understanding of product management fundamentals
Benefits
- Workday Bonus Plan
- annual refresh stock grants
- Comprehensive benefits in Canada
- Flexible work arrangements
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