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Job title: Sr. Data Architect
Job Summary: McKesson’s Pharmaceutical Solutions and Services (PSaS) Decision Intelligence (DI) team is looking for a Sr. 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 Expertise:
Advanced Data System Design:
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 5 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 mentor, and inspire teams, fostering an environment of accountability and innovation. This position operates under consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes.
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.
Physical Requirements: General Office Demands
Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.
Relocation is NOT budgeted for this position
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$130,400 - $217,300
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
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