Manager Data Quality Lead

ROLE SUMMARY

Pfizer has established a chief digital office which will lead the transformation of Pfizer into a digital powerhouse that will generate superior customer experiences that will result in better health outcomes.

The Quality Lead role is to build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer.

The Data Quality Lead is responsible for the modernization and expansion of Data Quality services into new domains. This role will be accountable to define the best practices for both the technologies and processes deployed and will have oversight a matrixed team of colleagues and contractors (not direct reports). These accountabilities will include responsibility for a portion of the PGS UDH deployment responsibilities on the roadmap. This role will leverage deep experience with data management to ensure processes around accuracy, quality, re-usability, formatting, cataloging and access for the digital data obtained and used across the organization.

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

In this role, we are looking for frontrunners in cloud solutions for developing simplified quality solutions that will enable cutting-edge analytics capabilities ranging between dashboarding and deep learning.

ROLE RESPONSIBILITIES

Reporting to the Sr Manager Data Management Lead of Enterprise Data and Solution Engineering, the UDH Data Quality Lead will build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer.

• Directs cross-functional team for Data Quality services in emerging tools.
• Directs the portfolio of technology and implementation plans to modernize the service on cloud, leverage automation, reuse, and continuous improvement to expand into new domains.
• Provides oversight and direction to a cross functional team to the onboarding of new data set and PGS systems on the roadmap.
• Designs and implements quality assurance programs across data repositories.
• Create and manage semantic layer to ensure data quality assessment data is available to Adv. Analytics and in advance visualizations for downstream.
• Lead data standardization efforts where possible setup SLA s and responsible for key metrics that measure data quality.
• Maintain relationships with all data users, actively driving engagement, adoption and usage and providing processes, training and support to ensure data quality standards are maintained.
• Oversee data procedures for any errors or defects.
• Enforces all the measures to ensure an asset-oriented view, control and quality assurance of data in a company.
• Analyze data patterns and utilization with a constant eye toward continuous improvement.
• Lead data standardization efforts where possible.
• Establish a strong collaborative culture with peers and other functions across Pfizer Digital.
• Promote a culture of success, pride, performance, discipline, innovation and creativity.
• Build automation and AI driven process to continuously innovate and improve quality.
• Liaison with senior leaders and stakeholders within Pfizer to data and quality standards to meet or exceed business requirements.
• Creates business quality standards.
• Accountable for the development and ongoing leadership of data stewardship protocols to meet requirement of strategic initiatives.
• Analytical and critical thinking. Does not shy away from tough decisions and can articulate complex situations so that decisions can be made.
• Consultative skills. Is able to define and structure vaguely defined problems, and influence stakeholders via effective communication.

Basic Qualifications

• M ust have a bachelor s degree with at five years of relevant experience.
• OR master s degree with three years of relevant experience.
• OR associate degree with eight years of relevant experience.
• OR Ph. D. with 0+ years of experience.
• Preference for advanced degree holders with a focus in strategy Analytics, Data science, Computer Science, Engineering or equivalent project-related experience
• 5+ years of strong multi-discipline experience, with experience in data quality concepts and technologies
• Proficiency in Python, SQL, and familiarity with Java or Scala.
• Strong expertise in developing data pipelines, data APIs and DQ rules
• Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.
• Knowledge and understanding of data quality tools.
• Demonstrated ability to interact with all levels of the organization in a professional manner.
• Proven skills in working across diverse, cross-functional teams in solving data problems.
• Strong collaboration and communication skills within and across teams.
• Knowledge of analytic tools and platforms, e. g. Tableau, snowflake, Spark, SQL
• Knowledge of Big Data, data science and statistical analysis skills, e. g. R, Python, machine learning, SAS
• Knowledge of relational databases, information architecture, data warehousing and ETL
• Proactively monitors the execution of the digital data governance processes including data quality and publishes the results.

Nice-to-Have

• Masters degree
• Relevant pharmaceutical industry experience
• Experience with Agile Software Delivery and/or Scrum Master Certification
• Knowledge of the pharmaceutical industry, preferably Commercial or sales and marketing