Pfizer

Sr. Manager, Performance & Insights Lead

Greece-Thessaloniki Chortiatis Full time

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 Infrastructure & Automation organization delivers excellence in the pursuit of those breakthroughs through industry-leading service performance. We ensure optimal performance of the network and hosting 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.

This role will be instrumental in transforming service data into actionable insights that drive transformation, service reliability, and continuous improvement. You will be responsible for harnessing data to drive actionable intelligence, driving operational performance, and enabling strategic decision-making.

ROLE RESPONSIBILITIES

  • Define and implement the core performance measurements across all services.

  • Align analytics initiatives with organizational goals to enhance service reliability, scalability, and operational agility.

  • Develop intuitive dashboards and reports that provide both tactical and strategic views of service performance.

  • Lead and mentor a team of infrastructure professionals, fostering a culture of collaboration and accountability.

  • Develop and implement predictive models to identify improvement areas, anticipate service disruptions, capacity constraints, and performance risks.

  • Embed predictive and AI-driven capabilities into core processes.

  • Leverage AI to enable automated decision-making.

  • Define data requirements and ensure accuracy, completeness, and integrity of operational datasets.

  • Partner with data engineering and analytics teams to integrate diverse data sources and enable real-time analytics.

  • Conduct deep-dive analyses to identify trends, root causes, and optimization opportunities.

  • Translate insights into actionable strategies that drive continuous improvement and innovation.

  • Collaborate with cross-functional teams to align priorities and influence strategic decisions.

BASIC QUALIFICATIONS

  • Bachelor's degree in data science, business, or related field with 7+ years of relevant experience or Master’s degree in data science 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.

  • Strong understanding of IT operations data (e.g., incidents, changes, monitoring metrics) and infrastructure KPIs.

  • Experience with anomaly detection, forecasting, and root cause analysis using AI/ML.

  • Experience creating insights dashboards and using visualization tools.

  • 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.

  • Excellent communication skills – able to translate data into insights and insights into action.

  • Comfortable working in cross-functional teams and collaborating with data engineers, platform owners, and service leads.

PREFERRED QUALIFICATIONS

  • Background in infrastructure operations, service management, or performance analytics.

  • ITIL certified (Foundation v3 or v4)

  • Exposure to AIOps concepts and tools.

Work Location Assignment: Hybrid

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

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