Chief Data Architect
6 days ago
Mckesson is an impact-driven Fortune 10 company with a vision to make quality care more accessible and affordable. Our mission is to deliver insights, products, and services that shape the future of healthcare.
We are looking for a Chief Data Architect to support key data initiatives and drive business value through data and advanced analytics. This role demands expertise in data architecture to analyze, design, and implement complex systems ensuring robust, scalable solutions that support our business goals.
Data Architecture Leadership:
- Design and implement a 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
Governance and Standards:
- Implement data governance practices and standards to ensure data integrity and compliance across all data systems and platforms
Problem Solving and Strategic Input:
- Tackle complex data-related problems with strategic solutions that contribute to long-term business success
Critical Skills and Qualifications:
- 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 (e.g., Azure, Databricks, Snowflake)
- Leadership Skills: Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation
- Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives
- Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges
- Experience: A career history that shows a trajectory of growth to high-level roles through significant contributions to business needs and technical innovations
- Education: A minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, with a preference for advanced degrees
Estimated Salary: $195,800 - $318,300 per year, based on industry standards and location.
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