JOBSEARCHER

Manager, Data Analytics

Overview In this role you lead the design and adoption of self-service analytics and automation for McKesson’s Generics organization, driving a modernization of automation and reporting under AIM28. You partner with data engineers, BI developers, and IT to deliver scalable, compliant data products aligned with enterprise standards. You’ll tackle the analytics backlog, enable AI-enabled solutions, and support SAP S4 and Databricks migrations. This is a chance to shape data-driven decisions in a regulated, impact-focused environment. Compensation / Benefitscompetitive compensation and Total Rewardsannual bonus or long-term incentive opportunitieshybrid on-site and remote work arrangement ResponsibilitiesDevelop self-service dashboards and analytics for the Generics org to monitor performance and KPIsLead automation opportunities across reporting and workflows, modernizing legacy RPA into scalable AI-enabled solutionsPrioritize and resolve the analytics and automation backlog based on impact and alignmentSupport execution of the BI team's AI strategy by embedding AI/ML in analytics solutionsTranslate stakeholder priorities into scalable data products for pricing, finance, and manufacturer relationsDrive end-to-end analytics delivery from requirements gathering to adoption with enterprise data standardsSupport SAP S4 and Databricks migrations by updating dashboards and workflows for continuityShare knowledge, best practices, and provide mentorship across the analytics team Key requirements7+ years of relevant experience in analytics, BI, or business analysisBachelor’s or Master’s in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics or related fieldProficiency in SQL and building dashboards in Power BI, Tableau, or LookerHands-on Python coding for data tasks; experience with API integration; RPA-to-AI migration is a plusExperience delivering analytics in modern data environments (Snowflake, Databricks, or equivalent)Strong BI, data modeling, and end-to-end analytics delivery know-howLeadership or mentorship experience in a cross-functional settingExcellent communication and stakeholder management skillsSelf-starter with ability to manage multiple projects in a regulated environmentKnowledge of data governance/compliance and AI/ML concepts suitable for scoping use casesStrong analytical and problem-solving abilitiesExcellent communication and stakeholder managementSelf-starter with organizational skills and attention to detailSQLPower BITableau