Job Information
McKesson Corporation Lead Data Architect in Columbus, Ohio
McKesson 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 - we care. What 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's health today, we want to hear from you. Job title: Lead Data Architect Job Summary: McKesson's Pharmaceutical Solutions and Services (PSaS) Decision Intelligence (DI) team is looking for a Lead Data Architect to support key data initiatives. DI team focuses on facilitating data driven change and creating business value through data and advanced analytics. This is a pivotal role within PSaS's Data Architecture and Engineering service and will be responsible for data architecture design for key data product development . This role demands a profound expertise in data architecture to analyze, design, and implement complex systems ensuring robust, scalable solutions that support our business goals. Keys Roles & Responsibilities: Data Architecture Leadership: Design and implement robust, scalable, and integrated data environment across the organization Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices Leverage tools and resources to plan, evaluate and execute strategic initiatives by mapping relational entities to use cases or business requirements and assisting in the development of data products Advanced Data System Design: Architect complex data systems that support scalable integration and optimal functioning of business-critical applications. Employ sophisticated design principles and tools to model data flows and structures that enhance data accessibility and utility Manage creation of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation Innovation in Data Solutions: Drive the adoption of cutting-edge technologies and methodologies in data architecture and engineering. Develop innovative solutions that leverage machine learning, artificial intelligence, and cloud technologies to transform data handling and analytics. Stakeholder Collaboration: Establish and maintain strong collaborative relationships with key internal and external stakeholders to ensure that data architectures and strategies comprehensively meet business needs. Translate stakeholder requirements into actionable technical strategies and solutions. Governance and Standards: Implement data governance practices and standards to ensure data integrity and compliance across all data systems and platforms. Lead the evaluation and selection of data management technologies to support data security, quality, and efficiency. Problem Solving and Strategic Input: Tackle complex data-related problems with strategic solutions that contribute to long-term business success. Provide thought leadership in developing strategies that leverage data assets to drive business innovation and competitive advantage. Critical skill requirements: Proven Expertise: Minimum of 10 years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, evaluation, documentation, data modeling, design, development, model validation, and data integration in modern data platforms (Eg: Azure, Databricks, Snowflake) Advanced Education: A minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, with a preference for advanced degrees. Leadership Skills: Exceptional ability to lead, mentor, an