Senior Forward Deployed Specialist

Job description

Conceptual Proactive Problem-Solver Strategic Technologically Savvy Visual Thinker <meta data-json="{"ModuleType":13,"ApplyButtonText":"Apply","JobDetailsAlign":0,"JobDetailsDate":0,"JobDetailsJobTypeId":1,"JobDetailsSelectedDate":"2026-10-29T20:32:01.971Z","JobDetailsJobDateFormat":0,"JobDetailsJobLabelId":"Job ID","JobDetailsJobDatePosting":"Date posted","JobDetailsDescriptionFormat":0,"ShowApplyLater":false,"ShowApplyMobile":true,"ShowApplyLaterMobile":false,"ShowApplyLaterWeb":false,"ApplyLaterText":"Apply Later","ApplyLaterAlign":0,"ApplyLaterSubject":"[[JOB_TITLE]] at [[COMPANY_NAME]]","PublishedCandidateCardPageId":null,"ReferrerPageId":null,"ReferrerPageButtonText":"","ShowSavedJobsIcon":false,"IconLabel":"Save for Later","OverrideCandidateCard":false,"ModulePageType":2,"ModulePageName":"AJD - Design 1","DisplayJobDateFormat":"MM/dd/yyyy","JobDetailsSelectedId":"JR0156206","ApplyUrl":"https://mckesson.wd3.myworkdayjobs.com/External_Careers/job/CAN-ON-Mississauga/Senior-Forward-Deployed-Specialist_JR0156206/apply","JobDescription":"\u003Cp style=\u0022text-align:left\u0022\u003EMcKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve \u2013 we care.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:left\u0022\u003EWhat you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow\u2019s health today, we want to hear from you.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u003Cb\u003EAbout the Role\u003C/b\u003E\u003C/span\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EMcKesson Provider Solutions is seeking a Forward Deployed Specialist to partner directly with business and operational teams to turn complex, high-value problems into validated AI-enabled solutions. This is a hands-on, business-embedded engineering role for someone who can work comfortably in ambiguity, connect business needs with technology, and rapidly move ideas from discovery to working prototypes.\u00A0\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EYou will\u00A0lead the front end of the AI delivery lifecycle. You will understand workflows, frame problems, assess technical options, build and test prototypes, and validate value with users. Once a concept is validated, you will define a clear production path and work with AI Application Engineering, Data Engineering, MLOps, architecture, security, compliance, and operational teams to transition the solution for industrialization and scale.\u00A0\u003C/span\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EThis role requires strong software engineering judgment, broad technical fluency, and exceptional stakeholder engagement. The role provides technical coherence from problem through prototype, preserves the intended business outcome, and ensures downstream teams have the context needed to deliver a scalable, governed solution.\u00A0\u003C/span\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E\u003Cb\u003EKey Responsibilities\u003C/b\u003E\u003C/span\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EEmbed with practice and business teams to understand workflows, user needs, operational constraints, pain points, and desired outcomes.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003ELead discovery workshops, workflow assessments, and problem-framing sessions with executives, physicians, clinical teams, revenue cycle leaders, operational teams, and subject matter experts.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003ETranslate ambiguous business needs into clear problem statements, testable hypotheses, technical options, prototype scopes, and measurable success criteria.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EAdvise stakeholders where AI, automation, data, or workflow technology is appropriate and clearly communicate capabilities, limitations, risks, and tradeoffs.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EDesign pragmatic solution approaches using approved enterprise technologies, architecture patterns, and available data assets.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EBuild working prototypes, proofs of concept, and thin-slice solutions that test feasibility and enable meaningful feedback from representative users.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EApply sound software engineering practices so prototype code, interfaces, and design decisions can be understood, reused, or extended by delivery teams.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EUse AI-enabled patterns such as retrieval-augmented generation, copilots, agents, semantic search, decision support, and workflow automation when appropriate to the problem.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EDemonstrate prototypes, gather user and technical feedback, iterate rapidly, and recommend whether to stop, refine, or advance the work.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EIdentify application, data, integration, security, architecture, operational, and governance dependencies early in the engagement.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003ECollaborate with AI Application Engineers, Data Engineers, MLOps Engineers, architects, product leaders, security, compliance, and business SMEs to shape an executable delivery path.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EDefine solution requirements, dependencies, and acceptance criteria for production delivery.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EAssess production readiness and document risks, decisions, and required controls.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003ELead solution handoff to engineering teams and support successful implementation.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EDrive reuse by capturing patterns, assets, and lessons learned across engagements.\u00A0\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022