Manager, Quality – Data and Analytics
3 weeks ago
Everything we do, every day, is in line with an unwavering commitment to the quality and the delivery of safe and effective products to patients. Our science and risk-based compliant quality culture is flexible, innovative, and customer oriented. Whether you are involved in development, maintenance, compliance or analysis through research programs, your contribution will directly impact patients.
ROLE SUMMARY
The Manager, Quality - Data and Analytics supports data-driven decision-making processes, generating insights and providing strategic guidance for 1) high quality, effective, efficient RQA Programs and 2) to accelerate and drive the RQA audit strategy across Good Practice (GxP) processes/audit universe (e.g., GCP, PV, Regulatory, Medical, GMP, GLP, Digital). Focus areas are related to 1) Risk Assessment; 2) Analytics to support audit planning/conduct and integrate data analytics in GxP audits; 3) State of control reporting; 4) Data integrity and forensic auditing; and 5) Leader Dashboards to support risk management, quality strategy, GxP audit strategy and governance goals/objectives. This position requires 1) expertise in forecasting, statistical analysis, real world data analysis, digital tools and data analytics. 2) Provides data science and quantitative analytical support for ensuring high quality state of control reports for GxP. The Manager, Quality - Data and Analytics collaborates with cross-functional teams and utilize advanced analytical techniques to enhance performance and drive optimal support to audit and other enterprise leaders.ROLE RESPONSIBILITIES
Digital Strategy / Data Science
Supports vision for data/analytics roadmap, solving complex data problems across the quality/risk management continuum. Supports development of data science infrastructure and capabilities including data lake build; data lake co-ownership to ensure robust/validated technical process. Supports the execution of a hypothesis driven analytics strategy across quality business lines that ensures a strategic, optimized and consistent approach (data standards) to metrics, thresholds, etc. that meet stakeholder needs. Works with QMS Oversight and analytics team to develop and construct complex analytics (KRIs / KPIs / other); communicates findings/insights/trends to applicable functions. Review data/trends in support of QMS oversight to determine impacts and needed oversight actions based on elevated issues/trends. Use analytics to generate insights that will strengthen oversight via audits; integrate data analytics in GxP audits. Drives data analytics for continuous monitoring of GxP areas and support of data integrity & forensic audit approach; leverage analytics and machine learning to check for data quality, detect outliers and anomalies, or identify and prioritize high-risk patterns. Assesses and ensures data quality / validation procedures including documentation, storage (per policies). Implements technology advancements including NLP, AI, etc. (including external benchmarking to pharma and other tech advanced companies) Designs processes to ensure integration data are connected to Risk Strategy processes. Provides objective assessments to assist leadership in prioritizing investments in data-science capabilities/projects. Assists GxP audit teams in exploring methodologies to enhance audit strategy based on emerging innovation and technology advancements. Manages and maintains dashboards and reports to support the business. Support strategy to “up-skill” colleagues as applicable to ensure data-culture and data-focused mindset.Operational Excellence
Accountable for timely delivery of the digital / data science strategies. Accountable for ensuring validation/ controls are in place to support data science capabilities and models. Collaborates with RQA peers and internal stakeholders to execute purposeful digital and analytics strategy. Works to ensure quality standards are consistently applied across the program or region. Proactively identifies opportunities for improvement within RQA. Maintains current knowledge of industry trends that impact data science capabilities and strategies. Monitors and maintains expertise in area(s) of focus.QUALIFICATIONS
Advanced academic qualification/degree in data science / statistics / computer science is required; equivalent relevant professional experience will be considered. 3-5 (manager) years of relevant experience in data science and analytical tools/techniques/technologies. Experience in working with large datasets, data visualization tools, and statistical software packages (e.g., R, Python, SAS). Proficiency in the use of Microsoft Office Suite of tools. Understanding of regulatory requirements and relevant data standards. Strong communication (written and oral), decision-making, influencing, negotiation, and project management skills. Project management experience with proven accountability, and demonstrated excellent interpersonal, communication, negotiation, influencing, and problem-solving capabilities a plus. Ability to function autonomously in a matrix model and in a team environment. Proven ability to think innovatively and to execute strategic plans pursuant to the responsibilities of the role.PREFERRED QUALIFICATIONS
Knowledge of Good Practice (GxP) processes/audit universe (e.g., GCP, PV, Regulatory, Medical, GMP, GLP, Digital). Relevant experience in a pharmaceutical, biotech, CRO, or Regulator Agency with an emphasis on building reporting and analytics solutions. Certification or training in relevant analytics or business intelligence tools. Sustained success with a significant volume of analytic and quantitative coursework is required.SKILLS & COMPETENCIES :
Strong analytical thinking and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions. Proficiency in statistical analysis techniques, predictive modelling and forecasting methodologies. Strong project management skills and the ability to work independently or as part of a team. Solid understanding of digital analytics tools and platforms. Strong communications skills with the ability to present complex information to non-technical stakeholders in a clear manner. Strong business acumen and strategic thinking, with the ability to translate analytical finding into actionable insights and recommendations.SKILL-SETS:
Data Analysis Data Analytics Data visualization Data mining Strategic thinking Problem Solving Communication Analytical Skills Applied Mathematics Data Science Forecasting Predictive Modelling Statistical Analysis Web Analytics SQL Python (Programming language) Artificial Intelligence and Machine Learning Microsoft Power BI Microsoft ExcelPfizer 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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