2 hours ago
Mississauga, CanadaStaff+
Base Salary
$122k - $163k/yr
Responsibilities
- Embed with oncology practices and business teams to understand workflows, user needs, constraints, pain points, and desired outcomes.
- Lead discovery workshops and problem-framing sessions with executives, physicians, clinical teams, revenue cycle leaders, operational teams, and subject matter experts.
- Translate ambiguous business needs into problem statements, hypotheses, technical options, prototype scopes, and measurable success criteria.
- Advise stakeholders on appropriate uses, capabilities, limitations, risks, and tradeoffs of AI, automation, data, and workflow technologies.
- Design solution approaches and build working prototypes, proofs of concept, and thin-slice solutions using approved enterprise technologies and data assets.
- Apply sound software engineering practices so prototype code, interfaces, and design decisions can be reused or extended by delivery teams.
- Use AI-enabled patterns including retrieval-augmented generation, copilots, agents, semantic search, decision support, and workflow automation when appropriate.
- Demonstrate prototypes, gather feedback, iterate, and recommend whether work should stop, be refined, or advance.
- Identify application, data, integration, security, architecture, operational, and governance dependencies and define production requirements and acceptance criteria.
- Collaborate with AI Application Engineers, Data Engineers, MLOps Engineers, architects, product leaders, security, compliance, and business SMEs on production delivery.
- Assess production readiness, document risks and decisions, lead solution handoff, and support implementation.
- Capture reusable patterns and lessons learned, contribute to FDE playbooks and prototype standards, and mentor engineers in discovery, prototyping, and technical communication.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- Typically 8+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise application delivery, or digital transformation.
- At least 8 years of experience building, integrating, troubleshooting, or delivering enterprise software solutions.
- Strong hands-on full-stack engineering and troubleshooting experience across web applications, APIs, data, AI services, identity, security, and cloud infrastructure.
- Hands-on experience with React, Node.js, TypeScript, Python, and modern web application architecture.
- Proficiency in API diagnostics and browser-based troubleshooting, including network requests, authentication, application state, errors, and performance issues.
- Hands-on experience with Snowflake and Databricks, including data pipelines, lineage, reconciliation, data quality, and performance tuning.
- Experience using logs, metrics, traces, dashboards, and alerting for root-cause analysis and end-to-end solution validation.
- Experience diagnosing issues across application, integration, data, AI, security, and infrastructure layers.
- Experience translating ambiguous business problems into technical solutions, prototypes, or proofs of concept.
- Experience designing or prototyping AI-enabled solutions such as copilots, agents, retrieval-augmented generation, semantic search, decision support, or workflow automation.
- Experience using AI coding assistants such as Claude while reviewing, testing, securing, and refining generated code.
- Understanding of software delivery, enterprise integration, security, privacy, Responsible AI, data governance, operational readiness, and supportability.
- Experience working with business leaders, subject matter experts, end users, and cross-functional engineering teams.
- Strong technical judgment, facilitation, written and verbal communication, presentation, stakeholder alignment, and ability to influence without direct authority.
- Healthcare experience in oncology, clinical operations, revenue cycle, patient access, care management, provider operations, or related domains is preferred.
- Experience with Azure AI services, C#, REST APIs, ServiceNow, Salesforce, Power BI, or comparable enterprise technologies is preferred.
- Experience with prompt and response evaluation, agentic workflows, AI guardrails, regulated environments, cybersecurity, privacy, compliance, and data governance is preferred.
Benefits
- Flex & Connect work model requiring two days in the office per week.
- Competitive compensation package with base pay, potential annual bonus, and possible long-term incentive opportunities.
- McKesson Equal Opportunity Employer with reasonable accommodation support for applicants with disabilities.
Tech Stack
Categories
Forward Deployed
About McKesson
Welcome to the official LinkedIn page for McKesson Corporation. We're an impact-driven healthcare organization dedicated to “Advancing Health Outcomes For All.” As a global healthcare company, we touch virtually every aspect of health. Our leaders empower our people to lead with a growth mindset and deliver excellence for our customers, partners, and the wellbeing of people, everywhere. We work with biopharma companies, care providers, pharmacies, manufacturers, governments, and others to deliver insights, products and services that make quality care more accessible and affordable. Delivering better health outcomes for our employees, our communities, and our environment. Every day, we strive to inspire and enable people to reach their full potential. To learn more about how #TeamMckesson helps improve care in every setting, visit: https://bit.ly/3xadvB0