Manager, Data & Insights Lead

Posted 4 Hours Ago
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3 Locations
Hybrid
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
The Manager, Data & Insights Lead leverages data-driven strategies to optimize hybrid cloud and on-premise infrastructure services. Responsibilities include data integration, advanced analytics, model development, and dashboard design while partnering with teams to identify insights and improve service quality.
Summary Generated by Built In

Why Patients Need You
All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged and have the ability to impact health and lives of millions of people. Digital is at the core of how Pfizer delivers Breakthroughs That Change Patient's Lives. Advanced technologies that accelerate research, development, manufacturing, and patient access to therapies are all made possible by the infrastructures that enable our Digital landscape.
What You Will Achieve
The IT Operations and Global Command Center organization delivers excellence in the pursuit of those breakthroughs through industry-leading infrastructure operations performance. We ensure optimal performance of the networks, cloud and on-premise services that power Pfizer's business processes. We strive to revolutionize service dependability by applying advanced analytics to drive predictive detection, identifying potential issues with our services and intervening before they disrupt our business. We place data at the heart of what we do and apply a relentless focus on continuous improvement to enable Pfizer's business processes and patient outcomes.
ROLE SUMMARY
The Manager, Data & Insights Lead will play a key role in leveraging data-driven strategies to optimize and continuously improve hybrid cloud and on-premise infrastructure services. This role involves identifying and integrating operational datasets, applying advanced analytical models, and generating actionable insights to enhance service quality.
T hey will partner with cross functional teams to design, maintain , and enhance insights dashboards to support decision-making. Additionally, they will be responsible for data preprocessing, machine learning model development, and performance optimization to drive predictive analytics and improvements.
ROLE RESPONSIBILITIES

  • Develop and implement a data-driven approach το continuously improve the hybrid cloud and on-premise infrastructure services.
  • Identify and integrate operational datasets (service data), apply advanced analysis models to develop improvement insights.
  • Partner with Operations teams, Data Analytics teams, and Monitoring leads to assess identified insights, design and develop data-led improvement actions.
  • Monitor data to measure outcomes against defined KPIs for infrastructure services.
  • Partner with Data Analytics teams to design, maintain and advance insights dashboards (ServiceNow, Power BI, Tableau and other analytics platforms).
  • Develop and train predictive and classification models using machine learning algorithms and optimize models for performance, accuracy, and efficiency.
  • Present findings and insights to technical and non-technical audiences and translate business challenges into data-driven solutions.
  • Ensure compliance monitoring & reporting for infrastructure controls.
  • Develop risk assessment models to analyze potential impact and identify proactive remediations.


BASIC QUALIFICATIONS

  • Bachelor's degree in data science, business, or related field with 5+ years of relevant experience.
  • Data Analysis & Machine Learning - Strong statistical analysis, predictive modeling, and ML algorithm expertise.
  • Proficiency in Python or R, SQL, and building scalable data pipelines.
  • Experience creating insights dashboards and using visualization tools.
  • Understanding of hybrid cloud, on-prem environments, and cloud data services.
  • Ability to translate business challenges into data-driven solutions.
  • Strong interpersonal and leadership skills and ability to influence and motivate matrixed teams.
  • Outstanding analytical, problem-solving and organizational abilities.
  • Excellent organizational and time-management skills; comfortable managing competing priorities within a fast-paced environment.


PREFERRED QUALIFICATIONS

  • MBA and/or project management credential (i.e., PMP)
  • Industry Experience: Pharma, Healthcare, Financial Services, or other regulated environments.
  • ITIL certified (Foundation v3 or v4)


Work Location Assignment: Hybrid
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.
Marketing and Market Research
#LI-PFE

Top Skills

Python
R
SQL

What the Team is Saying

Daniel
Anna
Esteban
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The Company
HQ: New York, NY
121,990 Employees
Hybrid Workplace
Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.

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Pfizer Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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Center for Digital Innovation
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