VP of Data Architecture and Engineering
Listed on 2026-08-22
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IT/Tech
Data Engineering, Data Science Manager, Data Analyst, Data Warehousing
We are seeking a highly skilled Vice President of Data Architecture and Engineering to join our the Decision Intelligence (DI) team of our pharmaceutical services business unit. This individual will play a critical leadership role in orchestrating complex data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of sources, delivery high quality analytics solutions & managing data & analytics ideal candidate will have a strong understanding of data modeling concepts and the ability to develop robust and scalable solutions that transform data into a useful format for analysis and insights.
In this strategic role, he/she will oversee the development and maintenance of our data architecture, as well as manage the operational excellence of the DI team’s data and analytics products. With a focus on enabling data-driven decisions and creating significant business value through advanced analytics, this individual will be responsible for developing an end-to-end strategy that also leverages data science and AI technologies to deliver innovative digital solutions.
& responsibilities Strategic Vision and Scalability
- Architect and reinforce a strategic vision for data processing pipelines that underpin our PSaS DI team’s analytics and decision intelligence products.
- Focus on scalability, reliability, and effectiveness in driving data-driven change.
- Directly oversee multiple Director level leads, ensuring cross-functional alignment and synchronization of operational activities with data architectural frameworks and engineering excellence.
- Spearhead the development and execution of a comprehensive data architecture and engineering strategy.
- Support the PSaS DI team’s aspirations to augment and automate business decisions through cutting-edge data solutions.
- Champion the adoption of state-of-the-art technologies and methodologies in data architecture.
- Explore machine learning, AI technologies, cloud data platforms (e.g., Data Bricks, Snowflake, Azure), and data modeling concepts.
- Lead collaborative efforts with external vendors, program managers, and internal stakeholders.
- Model and design data integrations that address specific business requirements.
- Augment the capability of the PSaS DI team to deliver impact-driven solutions within allocated budgets and timelines.
- Promote a culture of continuous improvement and innovation within the data architecture and engineering domains.
- Elevate the data analytics discipline across the organization.
- Advocate for best practices in data management, quality, and governance.
- Maintain data solutions, including the implementation of data pipelines, scheduling, orchestration of jobs, and automation of tasks.
- Collaborate with internal stakeholders (architects, analysts, DBAs) and external partners.
- Solve problems and participate in the evaluation and identification of new technologies.
- You’re not just an architect; you’re a visionary. With a minimum of 15 years of enterprise data architecture experience, you’ve led transformative data strategies within dynamic teams.
- Your track record speaks volumes—you have created impact with data at scale.
- You excel at mentoring and managing high-performing teams. As a seasoned leader, you’ve overseen strategic, technical & operational roles and fostered team synergy to achieve strategic objectives.
- You have a track record of empowering others to thrive and innovate.
- Data isn’t abstract; it’s the heartbeat of business. You’re an expert at aligning data architectural and engineering frameworks with our strategic goals.
- You are an expert in modern data processing tools, cloud data technologies and data science methodologies.
- Your leadership persona inspires innovation and excellence. You’re not just a technologist; you’re a catalyst for transformation.
- Your degree (Computer Science, Data Science, Information Systems, Engineering, or related) is the foundation. But it’s your 15+ years of professional experience in data architecture and operations that truly shine.
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. 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 .
Our Base Pay Range for this position
$214,600 - $357,600
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