Director, AIDA R&D, Data Solutions Engineer

Role Summary

Clinical Development Data Solutions and Engineering, a Pfizer Digital organization part of the AI Data and Analytics team, is responsible for the development and management of all data and analytics tools and platforms for Clinical Development across Pfizer’s portfolio.   One of the team’s top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.

The Director Clinical Development Solution Delivery and Engineering will join a team of global, highly skilled colleagues across solution delivery and engineering. This position will be expected to contribute to strategy and portfolio management and governance and lead multiple teams of engineers and solution architects to ensure the delivery and the management of high-quality data and advanced analytic solutions.

The Director will closely partner and strategize with leaders from Clinical Development including but not limited to Clinical Development and Operations, Biostatistics, Clinical Patient Experience, Regulatory and other Digital creation centers to drive advanced analytic capabilities, AI/ML and data asset creation.  The ability to operate in a transparent manner, effectively influence senior development and operations associates, lead cross-functional matrixed teams, and engineer and architect transformative, data driven solutions, and assets is essential.

Successful candidates will be team-oriented, will demonstrate leadership, strategic planning, consulting skills, and will have experience with large pharmaceutical datasets, directing teams to deliver global analytic solutions.

This role will work closely with Clinical Development teams and Digital teams across Pfizer to maximize the use of data for solutions, operations and insights related to acceleration of global product development, clinical practices and adherence to safety and regulatory obligations. This requires strong interpersonal, communication, influencing, analytical and problem-solving skills along with overseeing the adoption of agile best practices. This role will drive best practices and capabilities across business units and discover and nurture opportunities for collaboration across divisions. This role will provide clinical product development business process understanding and ability to proactively present designs to advance business strategies through the optimization of existing enterprise capabilities and/or the addition of new capabilities that drive significant value.

This role will be a subject matter expert and use knowledge of industry and functional groups to adapt data, analytic, and AI trends, while leveraging and evolving our existing landscape including the Global Development Integration Platform, Dataiku, Alteryx, Snowflake, and data visualization products (Spotfire, Tableau). Areas of technical leadership include the design and delivery of reporting, data management, analytics and AI pipelines that enable data lakes, exploratory analysis, feature engineering and predictive model design and build. Generally, the colleague will have responsibility to lead teams in architecting, designing, and building data models, pipelines and products across various domains to power ML ops platforms, data driven applications and software and enable business intelligence solutions. 

Foster an open, honest, own it, and collaborative culture where diverse ideas and thinking are welcome. You will also embody Pfizer’s values, Courage, Excellence, Equity and Joy. We seize opportunities to think differently, to take risks and be accountable, and to try something new.  This means Pfizer values change-oriented behavior, exemplified through an entrepreneurial, confident, and proactive attitude.  Pfizer also values tolerance for taking thoughtful risks to achieve greater success. We advocate and drive long-term, aligned strategies that advance our mission and shape our industry.

BASIC QUALIFICATIONS  

• Bachelor's Degree
• 10+ years of management experience leading project teams and technology delivery functions
• Demonstrated experience in scoping, defining, and managing projects including determining project viability, developing rigorous project estimates, developing, and establishing a project plan, budget defining technology solutions, developing RFPs, evaluating vendor responses, negotiating SOWs and identifying resource requirements
• Demonstrated experience at owning and managing a significant organizational or project budget ($1MM to $5MM annually)
• 7+ years of experience Data warehousing, data modeling, and data transformation
• 7+ years working on SQL with strong skills to do data investigation, root cause analysis and cross system analysis on DBs such as Snowflake, Redshift, DeltaTable, Oracle, SqlServer, Teradata, etc. 
• Experienced with deplo