McKesson

Technical Project Manager

• Guide project management as a thought leader
• Direct complex projects involving cross-functional teams and matrix partners
• Lead projects involving new product and service launches, application development, systems integration, operational efficiency improvements, process reengineering, and infrastructure upgrades and deployments
• Develop and oversee financial forecasts
• Reconcile resources and related project expenditures
• Lead continuous risk and issues management processes
• Identify and assess risks and issues
• Develop and manage mitigation measures with organizational leaders
• Identify methods to enhance project management capabilities and processes
• Perform other duties as assigned

Senior IT Project Manager

Solutions Engineer

• Design, build, and maintain AI prompts, prompt libraries, LLM-based agents, copilots, chatbots, automation scripts, and end-to-end intelligent workflows
• Lead rapid prototyping and experimentation and convert successful pilots into scalable, production-grade solutions
• Own monitoring, troubleshooting, performance tuning, and reliability improvements for deployed solutions
• Build and maintain enterprise integrations using APIs, services, data pipelines, and workflow orchestration tools
• Serve as end-to-end AI solution architect and make hands-on architectural decisions
• Define and standardize agent architectures, integration and data-flow designs, and dev/test/prod deployment strategies
• Own delivery planning, value metrics, success criteria, and timelines
• Identify technical risks, trade-offs, and dependencies and drive resolution
• Lead high-impact enterprise AI and automation use cases
• Translate loosely defined business problems into durable, production-ready AI solutions
• Develop solutions for case intake, triage, summarization, decision support, intelligent document processing, workflow automation, and embedded AI assistants
• Partner with business owners to validate outputs, refine logic, and operationalize trusted solutions
• Ensure compliance with enterprise AI governance standards, ethical AI principles, and corporate policies
• Design secure-by-default solutions with documentation, traceability, monitoring, and audit readiness
• Mitigate risks related to data privacy, access control, model behavior, hallucinations, bias, and operational resilience
• Partner with architecture, security, and data governance teams in regulated environments
• Engage stakeholders and translate opportunities into concrete AI solution concepts
• Produce technical documentation, user guides, and SOPs
• Lead enablement sessions, workshops, and knowledge transfer
• Mentor technical teams and influence AI and automation standards, patterns, and best practices
• Collaborate with business and technology partners to improve AI-enhanced workflows

Lead Intelligent Solutions Engineer

General

• Apply receivables to the Cash Receipts Log, QuickBooks, and finance trackers for all lines of business
• Post transactional line-item cash into proprietary systems based on pharmaceutical-company remittance details
• Reconcile payment details to financial tracking rates to identify discrepancies and missed revenue opportunities
• Communicate discrepancies to accounting
• Contact pharmaceutical companies to verify payment remittance details
• Review, interpret, and discuss client remittances for data accuracy
• Perform other duties as assigned

Cash Application Coordinator

Analyst

• Reconcile clinical trial receivables to ensure final billing to pharmaceutical companies is accurate and timely
• Reconcile Sarah Cannon financial study data across multiple sources
• Review and interpret contracts and budgets
• Work with operations and other departments to resolve variances
• Respond to information requests from Corporate, Internal Audit, Operations, and Management
• Analyze contracted revenue triggers to determine eligibility for reimbursement
• Ensure processing and reporting deadlines are consistently achieved
• Perform other duties as assigned

Reconciliation Analyst

• Design, build, and maintain AI prompts, prompt libraries, LLM-based agents, copilots, chatbots, automation scripts, and end-to-end intelligent workflows
• Lead rapid prototyping and experimentation and convert successful pilots into scalable, production-grade solutions
• Own the day-to-day technical health of deployed solutions through monitoring, troubleshooting, performance tuning, and reliability improvements
• Build and maintain integrations with enterprise platforms using APIs, services, data pipelines, and workflow orchestration tools
• Serve as end-to-end AI solution architect and make architectural decisions hands-on
• Define and standardize agent architectures, integration and data flows, and dev/test/prod deployment strategies
• Own delivery planning, value metrics, success criteria, and timelines
• Identify technical risks, trade-offs, and dependencies and drive resolution
• Lead high-impact enterprise AI and automation use cases
• Translate loosely defined business problems into durable, production-ready AI solutions
• Develop solutions for case intake, triage, summarization, decision support, intelligent document processing, workflow automation, and embedded AI assistants
• Partner with business owners to validate outputs, refine logic, and operationalize adoption
• Ensure compliance with enterprise AI governance standards, ethical AI principles, and corporate policies
• Design secure-by-default solutions with documentation, traceability, monitoring, and audit readiness
• Mitigate risks involving data privacy, access control, model behavior, hallucinations, bias, and operational resilience
• Partner with architecture, security, and data governance teams on compliant solution design
• Evangelize AI and intelligent automation capabilities across the organization
• Produce technical documentation, user guides, and SOPs
• Lead enablement sessions, workshops, and knowledge transfer
• Mentor and influence standards, patterns, and best practices across AI and automation initiatives
• Collaborate with business and technology partners to improve AI-enhanced workflows

• Guide the management of high-visibility, ambiguous, complex, high-priority, and executive-overseen IT projects
• Identify methods to enhance project management capabilities and processes
• Direct complex projects involving cross-functional teams and matrix partners
• Lead product and service launches, application development, systems integration, operational efficiency improvements, process reengineering, and infrastructure upgrades and deployments
• Develop and oversee financial forecasts
• Reconcile resources and related project expenditures
• Lead continuous risk and issue management processes
• Identify and assess risks and issues
• Develop and manage mitigation measures with leaders
• Perform other duties as assigned

Manager

• Implement the quality assurance program
• Manage and perform consult/support visits at investigative sites
• Assist with onsite external audits and inspections
• Provide routine quality support for assigned investigative sites
• Develop and maintain relationships with investigative sites and SCRI departments and colleagues
• Monitor and modify policies and procedures
• Utilize quality tools to assess study-operation quality indicators
• Monitor and prioritize quality indicators for all sites using a risk-based approach and Quality by Design framework
• Identify and report quality deficiencies to directors and appropriate colleagues
• Assist in developing and modifying process documents
• Assist with preparing and hosting external audits
• Assist research staff in maintaining regulatory compliance
• Perform process/focused audits of research sites and report findings to leadership
• Ensure timely and appropriate follow-up on deficiencies
• Communicate observations and deficiencies to Site Directors/Managers and study PIs
• Assist sites with root-cause analysis and responses to external audits and CAPAs
• Maintain audit records and reports
• Communicate with clinical-trial monitors and auditors as needed
• Educate staff on quality-improvement methods and industry trends
• Perform other duties as assigned

Research Quality Manager

Accounts Receivable

• Collect client receivables in accordance with contractual agreements
• Review, maintain, and resolve receivable disputes
• Review Clinical Trial revenue and expenses
• Review study accounts receivable aging, patient accounts, pass-through invoices, study finance trackers, patient trackers, and contracts
• Interact with departments to determine charge validity and collect charges from sponsors
• Assist Finance and Budget & Contracts departments with identified projects and tasks
• Analyze complex data and multiple documents to determine receivables collectability
• Monitor assigned accounts for irregularities, non-payments, and delayed payments
• Contact Sponsors/CROs by phone regarding unpaid or open invoices
• Investigate and resolve sponsor, patient, and customer disputes
• Maintain business relationships with Sponsors/CROs as the primary receivables contact for Sarah Cannon Research Institute
• Reconcile financial study data with Sponsor/CRO data
• Review and discuss contracts internally and with clients to resolve payment or dispute issues
• Review medical procedure invoices against contracts to determine reimbursement eligibility
• Identify and report trends negatively impacting payment or workflows and work with the supervisor on resolution
• Collaborate with Accounting, Treasury, and Contracting to resolve billing questions
• Perform other duties as assigned

Senior Accounts Receivable Analyst

QA Engineer

• Execute functional, integration, regression, and end-to-end testing for complex healthcare applications
• Design, develop, and maintain automated test scripts and reusable test frameworks
• Write and execute SQL queries to validate application functionality, business logic, and data integrity
• Collaborate with software engineers, product owners, and QA team members throughout the software development lifecycle
• Create automated UI, API, and integration tests within CI/CD pipelines
• Identify, document, and track defects through resolution
• Analyze requirements and user stories to develop comprehensive test coverage
• Participate in code reviews and contribute to quality engineering best practices
• Monitor test results, regression coverage, and quality metrics to support continuous improvement
• Support adoption of automation-first testing practices and emerging AI-assisted testing capabilities

Software QA Analyst

Technical Product Manager

• Lead product strategy, roadmap, and delivery for AI, automation, analytics, and intelligent workflow capabilities across pharmacy management and Data & Insights platforms
• Define and drive the Data & Insights Platform vision, strategy, roadmap, and outcomes
• Evolve the platform into a cloud-native, AI-enabled analytics product balancing scalability, reliability, governance, security, performance, and cost efficiency
• Lead strategy for reporting, analytics, self-service insights, data products, AI-powered experiences, and customer-facing intelligence
• Prioritize Snowflake optimization, governed data access, semantic models, auditability, data quality, lineage, and service-level management
• Establish unified analytics and data product capabilities across EnterpriseRx, CPS, APS, and Supplylogix
• Partner with customers, pharmacy SMEs, UX, Commercial teams, and Product Owners to identify opportunities and measurable outcomes
• Define product requirements, MVP scope, user stories, acceptance criteria, KPIs, and success measures
• Own roadmap and backlog prioritization based on customer feedback, market analysis, business value, and technical feasibility
• Partner with Commercial and Finance on packaging, entitlements, adoption, monetization, cost-to-serve, and value realization
• Lead design-partner engagements, pilots, product launches, and go-to-market readiness
• Develop the AI strategy and roadmap for the Data & Insights Platform and broader Pharmacy Operating System
• Identify opportunities to automate workflows, improve decisions, enhance user experiences, and increase operational efficiency
• Establish requirements for explainability, responsible AI, monitoring, user feedback, adoption, and trustworthy outputs
• Serve as Product Management lead for data, analytics, reporting, and AI platform capabilities
• Collaborate with Engineering, Architecture, UX, Data Strategy, Security, Compliance, Commercial, and Pharmacy Operations
• Lead backlog prioritization, sprint planning, UAT, release readiness, and delivery governance
• Align platform capabilities with APIs, event-driven architecture, domain-driven design, and reusable platform services
• Monitor adoption, performance, customer outcomes, and product value to guide continuous improvement

Senior Technical Product Manager, AI & Analytics

Director

• Lead the strategy, operating model, and execution of technology enablement and delivery flow initiatives across product, platform, and engineering teams
• Establish frameworks, standards, and governance processes that improve delivery predictability, throughput, quality, and business alignment
• Drive organizational improvements that reduce delivery friction, improve cross-functional coordination, and accelerate time-to-value
• Develop roadmaps for technology delivery capabilities, tools, processes, and organizational effectiveness
• Lead, coach, and develop program managers, delivery leaders, scrum masters, agile practitioners, and operational excellence professionals
• Provide career development, mentoring, succession planning, and talent management
• Build organizational capability through workforce planning, talent acquisition, and skills development
• Establish and oversee portfolio governance frameworks
• Monitor portfolio health, delivery performance, resource utilization, dependencies, risks, and value realization
• Facilitate executive governance forums, operational reviews, and decision-making processes
• Drive continuous improvement and operational maturity initiatives
• Define and monitor delivery metrics, OKRs, KPIs, flow measures, and organizational health indicators
• Identify systemic bottlenecks and implement scalable solutions
• Promote Lean, Agile, DevOps, and product-centric delivery practices
• Partner with senior business and technology leaders to align portfolios with strategic priorities
• Translate strategic objectives into delivery plans, staffing strategies, and execution roadmaps
• Advise executive leadership on organizational performance, delivery risks, and transformation opportunities
• Support annual planning, investment prioritization, budgeting, and capacity management
• Lead large-scale delivery transformation initiatives
• Champion organizational change and adoption of new operating models, tools, and methodologies
• Deliver executive-level reporting on portfolio health, delivery performance, organizational risks, and improvement initiatives
• Influence strategic decisions through data-driven insights
• Build relationships across technology, business, finance, operations, and vendor organizations

Director, Technology Enablement – Delivery Flow

Nurse

• Deliver high-quality, patient-centered nursing care through administration of intravenous and injectable specialty medications, including biologics
• Conduct pre-treatment patient assessments, including review of contraindications, medical history, and eligibility for therapy
• Initiate and manage peripheral IV access and access central lines using sterile technique and best practices
• Prepare, handle, and administer IV and injectable specialty medications according to manufacturer, Health Canada, and nursing college standards
• Monitor patients during and post-infusion, identifying and responding to adverse events per medical directives
• Document patient care activities accurately within electronic patient records and clinical systems
• Educate patients and caregivers on treatment plans, medications, side effects, and self-administration when applicable
• Maintain medication accountability and participate in audits, quality initiatives, and clinic compliance activities
• Collaborate with physicians, pharmacists, and clinic staff to support coordinated patient care
• Uphold infection prevention, safety, and quality standards
• Participate in onboarding, training, and mentoring of new clinic staff as required

Infusion Nurse – Full-Time

Systems Engineer

• Support, configure, and maintain technology used in distribution centers, including RF devices, scanners, scales, printers, Windows workstations, and Windows server environments
• Troubleshoot and resolve escalated hardware, software, device, and infrastructure issues to reduce operational disruption
• Monitor system health, performance, and capacity to support reliable technology operations
• Partner with application, infrastructure, operations, and support teams to resolve complex business and technical issues
• Develop, maintain, and follow technical standards, support procedures, and documentation for audit readiness and operational consistency
• Support security, compliance, access controls, backup, recovery, and change management practices
• Identify opportunities to improve service, reduce recurring issues, and strengthen distribution center technology support
• Mentor team members and share technical knowledge, troubleshooting practices, and support standards
• Support business-critical supply chain and distribution operations
• Support distribution centers, project implementations, hardware deployments, operational readiness activities, and technology upgrades through travel as needed
• Participate in on-call rotations, maintenance windows, and after-hours support to maintain operational continuity and respond to critical incidents
• Work with Warehouse Control Systems, warehouse automation, industrial scanning systems, RF/mobile devices, printers, sortation systems, and other operational technologies

Senior Systems Engineer – Distribution Systems Support

Full-stack Engineer

• Create, deploy, and support software for managing large, semi-automated pharmacies at sites across the US
• Maintain legacy software in C++/MFC
• Fix bugs and enhance software
• Analyze issues
• Architect and develop major new features under limited supervision
• Enhance existing projects
• Provide support for major customers
• Troubleshoot difficult and complex support issues
• Work across the full software stack, from low-level robot and conveyor controls through controllers and databases to UI and web services
• Participate in rotational on-call support over weekends/evenings
• Travel sporadically, potentially up to 25%

Software Developer

Data Scientist

• Analyze and validate healthcare, clinical, and genomic data to support research and business decisions
• Build, test, and deploy machine learning models that generate actionable insights
• Develop AI and large language model (LLM) solutions using prompt engineering techniques
• Perform statistical analyses and translate findings into clear recommendations
• Create dashboards, reports, and visualizations for technical and business audiences
• Partner with product, engineering, clinical, and scientific teams to solve complex data challenges
• Write production-ready code and support multiple analytics initiatives
• Deliver data-driven recommendations supporting research, clinical development, and patient care