We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.
To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding "what" we need to achieve for patients and "how" we will go about achieving those goals.
Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting‑edge smart technology that profoundly impacts the lives of our patients.
Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.
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.
Role Responsibilities
- 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 Advanced Analytics and for downstream visualizations.
- Lead data standardization efforts, set up SLAs and manage 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.
- Enforce all 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.
- 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 processes to continuously innovate and improve quality.
- Liaison with senior leaders and stakeholders within Pfizer to ensure data and quality standards meet or exceed business requirements.
- Create business quality standards.
- Account for the development and ongoing leadership of data stewardship protocols to meet requirements of strategic initiatives.
- Demonstrate analytical and critical thinking; make tough decisions and articulate complex situations to enable decisions.
- Show consultative skills; define and structure vaguely defined problems and influence stakeholders via effective communication.
Basic Qualifications
- Must have a bachelor’s degree with at least five years of relevant experience.
- OR master’s degree with at least three years of relevant experience.
- OR associate degree with at least 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 digital data governance processes including data quality and publishes the results.
Nice‑to‑Have
- 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.
Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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