Urwah Admin

Pfizer

<div><div>The Regulatory Head will lead, manage, and provide strategic direction to the country-based regulatory teams, driving the development and execution of regulatory strategies and plans for the country and, where applicable, the region. This role will represent GRS on the Country Leadership Team (CLT) and local Country Medical Council (or equivalent) to ensure strong collaboration with key stakeholders (e.g., Commercial, Medical) and enable a focused regulatory approach that supports country business objectives.</div><ul><li><div>
Lead and manage the regulatory team in developing and executing regulatory strategies to support the registration of new products, line extensions, major variations, lifecycle management, GMP process and medical devices. Ensure that local regulatory teams provide strategic regulatory input into global regulatory strategies, aligning local regulatory activities with global objectives to achieve optimal business and compliance outcomes</div></li><li><div>
Develop strong partnerships with in-country teams (e.g., Country Managers, Medical, Marketing, Supply Chain) and GRS-EM Therapeutic Area and Regional Teams to enable the development and implementation of registration strategies that expedite the approval of new products, line extensions, and lifecycle optimization initiatives.</div></li><li><div>
Provide strategic contribution to the country leadership teams &ndash; anticipate what GRS-EM needs to contribute to achieve business objectives.</div></li><li><div>
Responsible for building and maintaining strategic relationships with key external agencies (e.g., HAs/BoH, RKOLs) and managing the HA/BoH interface throughout the product development and lifecycle. Foster long-term, positive relationships grounded in integrity, quality, compliance, and leadership, serving as the primary liaison and main contact for local government regulators on all regulatory-related activities.</div></li><li><div>
Define the overall regulatory strategy for the product registration pathway, including:</div></li><li><div>
Regulatory frameworks: Identify applicable global, regional, and local regulations, standards, and classification requirements relevant to the product category.</div></li><li><div>
Evaluation data: Determine the necessary preclinical, clinical, and performance data to support safety, efficacy, and quality claims for submission.</div></li><li><div>
Product lifecycle management: maintain licenses (e.g. Marketing Authorizations) in compliance with local regulations by ensuring that corporate regulatory processes, SOP&rsquo;s and systems (e.g. CMC change control, product labelling, etc.) are in place, and that the regional RA staff (permanent and contract) are properly trained in these systems and procedures.</div></li><li><div>
Monitor and assess local regulatory environment: Stay informed of local regulations and emerging trends, providing impact assessments to key stakeholders. Leverage regulatory intelligence and landscape knowledge to support the development and implementation of regulatory and business strategies, and positively influence local legislative initiatives affecting the business.</div></li><li><div>
Oversee regulatory submissions and approvals: Manage the preparation, submission, and approval of CTA, NDA, and lifecycle (LC) submissions in accordance with established GRS-EM performance metrics.</div></li><li><div>
Ensure regulatory compliance: Ensure that all regulatory activities&mdash;including new product submissions, clinical trial applications, and existing licenses&mdash;fully comply with local regulations, requirements, and practices.</div></li><li><div>
Build and lead a high-performing regulatory function in Turkey, fostering regulatory excellence through:</div></li><li><div>
Strategic leadership: Establish a best-in-class regulatory organization aligned with global standards and local compliance requirements.</div></li><li><div>
Collaboration: Drive strong cross-functional partnerships with R&amp;D, quality, medical, and commercial teams to accelerate approvals and market access.</div></li><li><div>
Continuous improvement: Cultivate a culture of regulatory innovation, leveraging reusable blueprints, knowledge sharing, and rapid iteration to enhance efficiency and consistency across submissions and lifecycle activities.</div></li><li><div>
Develop and enhance the capabilities and capacities of the regulatory teams by identifying training and development needs and implementing targeted programs to strengthen expertise and operational excellence.</div></li></ul><div></div><div>
Qualifications</div><div></div><div>
Experience: Minimum of 15 years in regulatory affairs, including product registration and CMC management, with 7 &ndash;10 years in a people management role.</div><div>
Education: Degree in Pharmaceuticals or Chemistry is a must</div><div>
Regulatory Knowledge: Strong understanding of regional and global regulatory environments and their impact on regulatory strategy and implementation.</div><div>
Technical Expertise: Knowledge of drug development practices, GMP inspection requirements, local regulations and guidelines.</div><div>
Proven Skills: Demonstrated ability to develop and implement regulatory strategies effectively.</div><div>
Leadership &amp; Strategic Thinking:</div><ul><li><div>
Ability to think strategically and align regulatory initiatives with business objectives.</div></li><li><div>
Excellent communication and negotiation skills</div></li><li><div>
Strong problem-solving capabilities</div></li><li><div>
Understanding of the business and financial environment</div></li><li><div>
In-depth knowledge of the pharmaceutical industry</div></li></ul><div></div><div><div>
Purpose</div></div><div><div>
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.</div></div><div></div><div><div><br>
School of Leaders</div><div>
We, as Pfizer Turkey, make a difference with our visionary and pioneering approaches ranging from our concept of raising leaders through rotations, providing international career opportunities to creating a flexible, enjoyable work environment. There are no limits to what we can accomplish to touch lives here!</div></div><div></div><div><div><br>
Flexibility</div><div>
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&rsquo;s start the conversation!</div></div><div></div><div><div><br>
Equal Employment Opportunity</div><div>
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 &ndash; 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.</div></div><div></div>
Regulatory Affairs</div><div></div>

Türkiye Regulatory Lead

<div><ul><li>An Individual Contributor role</li><li>
Productive hands on programming, supporting deliverables in the study/project/portfolio/standards team, of medium &ndash; high complex statistical programming deliverables to support assets and study teams</li><li>
Performs tasks with limited supervision early in role and independently later in role.</li><li>
Is capable of handling standards/study programming specific activities independently including collaboration across stakeholders at various timezones</li><li>
Ensures adherence to high quality programming standards in their daily work</li><li>
Ensure the tasks are completed on time with quality and are compliant to the process at Pfizer with needed guidance.</li><li>
Work collaboratively with study teams and stakeholders such as clinicians and statisticians on milestones and deliverables.</li><li>
Active self-learning and delivering on solutions in the space of statistical programming and data standards</li><li>
Contribute to SDSA initiatives globally and locally.</li></ul>
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Work Location Assignment: Hybrid<div></div><div><br>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Medical</div><div></div>

Senior Statistical Data Scientist

<div><div>Use Your Power for Purpose</div><div>
The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world.</div><div>
As Senior Associate, Analytics Developer, you will play a pivotal, hands-on role creating the data solutions that fuel our most advanced AI and analytics applications. By collaborating closely with subject matter experts and data scientists, you will develop the robust data models, pipelines, and feature stores required to power everything from statistical analysis to complex AI and machine learning models.</div><div></div><div>
Your primary mission is to build the data foundation for high-impact projects such as ROI analysis, Field Force sizing, On demand analytics, Data Strategy.</div><div>
You will be central to delivering new, innovative capabilities by enabling the deployment of cutting-edge AI and machine learning algorithms, directly helping the business solve its most challenging problems and create value.</div><div>
This is a dynamic, fast-paced, and highly collaborative role, covering a broad range of strategic topics critical to the pharma business.</div><div></div><div>
What You Will Achieve</div><ul><li><div>
Advanced Layer Development: Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools.</div></li><li><div>
Data Strategy Execution: Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks.</div></li><li><div>
Building AI &amp; RAG Pipelines: Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain.</div></li><li><div>
Enabling Advanced Analytics: Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights.</div></li><li><div>
Business Impact: Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy.</div></li><li><div>
Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines.</div></li><li><div>
Quality &amp; Governance: Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions.</div></li></ul><div></div><div>
Here Is What You Need (Minimum Requirements)</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.</div></li><li><div>
3-5 years of experience in Data or Analytics Engineering.</div></li><li><div>
Strong Python Skills: Proven ability to write clean, performant, and maintainable Python for data engineering, with proficiency in libraries like Polars, Pandas and Numpy.</div></li><li><div>
Modern Data Stack &amp; Systems: Extensive hands-on experience with large-scale distributed systems, including dbt, Airflow, Spark, and Snowflake.</div></li><li><div>
Data Modeling &amp; Databases: A strong background in building and managing complex data models and warehouses, with experience across both SQL and NoSQL databases.</div></li><li><div>
Data Quality &amp; Observability: Experience implementing and managing frameworks for data quality testing, observability, and alerting.</div></li><li><div>
Modern Software Development: Solid experience with modern software development workflows, including Git, CI/CD, and Docker, to automate analytics processes.</div></li></ul><div></div><div>
Bonus Points If You Have (Preferred Requirements)</div><ul><li><div>
Pharma Analytics: Experience with pharmaceutical data and a track record of delivering business impact in the commercial pharma sector.</div></li><li><div>
Data Engineering Best Practices: Experience with performance tuning, cost optimization, and managing large-scale data infrastructure.</div></li><li><div>
Dashboard Development: Experience building dashboards using tools like Tableau, Power BI, or Streamlit.</div></li><li><div>
Business Communication: The ability to explain data limitations and how they affect business questions to non-technical audiences.</div></li></ul><div><br>
<br>
Work Location Assignment: Hybrid</div><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Marketing and Market Research</div><div></div>

Senior Associate, Analytics Developer

<div>
 Recruitment
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   Support full-life cycle recruitment needs for the business including direct sourcing techniques, consultative skills, and compensation, ensuring that every stage from the raising of the initial staff requisition to final appointment is carried out in accordance with operating procedures and adhere to best practice principles
  </li>
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   Manage the offer process for internal and external candidates, including pre-employment medical screening and offer development
  </li>
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   Increase candidate flow and develop strategic sourcing solutions that will attract and acquire high quality candidates
  </li>
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   Achieve recruitment metrics against agreed targets
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  </li>
 </ul>
 Talent Planning and Performance Management
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 <ul>
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   Lead and facilitate the talent review meeting
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   Participate and provide input to the performance management cycle during the calibration meetings
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   Guide all people managers in conducting performance management, appraisal, compensation dialogues and talent review
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 </ul>
 Colleague Relations
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 <ul>
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   Develop and implement company-wide programs and activities to establish and maintain harmonious colleague relations
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   Advise management on situations involving colleague progressive discipline, promotions, transfers and demotion
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   Develop sustainable solutions to support effective on-boarding
  </li>
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   Monitor colleague turnover and identify trends and issues, and recommend feasible solutions to Business Leaders to drive positive business result
  </li>
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   Embrace a proactive approach to facilitate skill development, productivity and effectiveness of People Managers
  </li>
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   Ensure compliance with local employment laws and regulations
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   Ensure fair and equitable handling of performance and behavioural issues
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  </li>
 </ul>
 Culture Change Management
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 <ul>
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   Facilitate the culture change process and work with Business Leaders to build leadership capability and an effective organization
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 </ul>
 Expatriate and International Assignment Management
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   Manage all expatriate and international assignment related matters and activities
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 HR Policies and Procedures
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   Conduct periodic communication sessions to enhance People Managers&rsquo; understanding of policies and procedures
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 HR Business Partnering
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 <ul>
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   Engage and provide HR advisory to the various Business Leaders
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   Advise Management in all aspects of HR and recommends solutions to resolve day to day HR related business issues or make improvements to impact on business result
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  </li>
 </ul>
 <strong>
  Compensation &amp;; Benefits
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 </strong>
 <ul>
  <li>
   Partner with HR Operations to enhance colleagues&rsquo; understanding of compensation and benefits programs
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   Participate in the evaluation of job grades and prepare salary proposals for colleague&rsquo;s career movement through the Internal Job Posting process
  </li>
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   Be aware of market trends and make recommendations to C&amp;;B to implement a competitive total rewards system
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  </li>
 </ul>
 <strong>
  General HR Duties
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 </strong>
 <ul>
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   Develop and implement HR policies and procedures to ensure that all policies comply with local statutory requirements, Pfizer global HR policies and practices and ensure competitiveness in the market
  </li>
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   Manage and motivate the HR team to be high performing and motivated contributors; and to produce high quality work to meet / exceed required expectations/standards
  </li>
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   Lead and/or participate in HR Projects as required and support the roll-out of HR Programs
  </li>
  <li>
   Degree in Business, Human Resources or related discipline
  </li>
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   At least 10 years of HR practitioner experience
  </li>
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   Experience in a large, global and complex organization would be an advantage
  </li>
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   Able to handle multiple projects concurrently
  </li>
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   Able to influence Business Leaders and to build trust throughout the organization
  </li>
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   Strong facilitation, presentation and communication skills
  </li>
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   Possess project management, organizational diagnostic and analytical skills
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   Handle confidential matters maturely and discreetly
  </li>
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   Flexible, adaptable and responsive to change
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   Demonstrated capability to thrive in a complex and matrix environment
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   Able to work with ambiguity
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  </li>
 </ul>
 Work Location Assignment: Hybrid
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 <br/>
 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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 <br/>
 People Experience
</div>


People Experience Manager

<div>
 Pfizer is committed to delivering high-quality, safe, and effective products to those who need them most. Within our Digital division, we foster a science-driven, risk-aware quality culture that supports our mission to improve patient outcomes through innovation and technology.
 <br/>
 <br/>
 We are seeking a Data Scientist to join the SAP Analytics Enablement (SAE) team. This team is responsible for developing SAP-based operational analytics and machine learning solutions that drive digital transformation across the enterprise.
 <br/>
 <br/>
 As a Data Scientist and Advanced Analytics Solution Developer, you will play a critical role in designing and delivering analytical products that address complex business challenges.
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 <strong>
  Key Responsibilities
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 </strong>
 <ul>
  <li>
   Collaborate with business and creation center SMEs to understand customer needs and deliver actionable, model-driven solutions.
  </li>
  <li>
   Lead the full machine learning lifecycle: research, design, experimentation, development, deployment, monitoring, and maintenance.
  </li>
  <li>
   Analyze large, complex datasets to extract meaningful insights and support decision-making.
  </li>
  <li>
   Develop prototypes and implement AI/ML algorithms in collaboration with data product owners, engineering teams, and business users.
  </li>
  <li>
   Optimize model performance through hyperparameter tuning and model selection.
  </li>
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   Continuously enhance models to better align with evolving business needs.
  </li>
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   Partner with support and operations teams to deploy new and updated analytical solutions.
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  </li>
 </ul>
 <strong>
  Strategic Impact
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 </strong>
 This role is central to advancing SAE&rsquo;s AI, Data &amp; Analytics strategy by:
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   Partnering with high-performing teams across the enterprise
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   Supporting research and innovation initiatives
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   Identifying and applying emerging technology trends
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   Driving measurable value for internal and external stakeholders
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  </li>
 </ul>
 <strong>
  Role &amp; Responsibilities
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 </strong>
 <ul>
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   Drive the development and enhancement of Pfizer&rsquo;s SAP Analytics systems, leading hands-on initiatives to deliver cutting-edge digital solutions and fostering innovation throughout the application lifecycle
  </li>
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   Define and set objectives for the vendor application team&rsquo;s operations, prioritizing resources and planning/deploying solution deliverables to support business requirements
  </li>
  <li>
   Provide technical and application knowledge leadership to the members of the vendor application development team, leveraging technical and functional expertise across multiple disciplines
  </li>
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   Partner with support and operations teams to share knowledge of Pfizer&rsquo;s new technologies and processes; both to define and implement support requirements and to manage the transition of products and solutions to long-term operations support.
  </li>
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   Take well-managed risks while ensuring the highest level of quality and compliance related to software development, enhancements, documentation and change management
  </li>
 </ul>
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  <br/>
 </li>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or higher in technical discipline (computer science, engineering, etc.)
  </li>
  <li>
   4+ years (2+ years with MBA/MS) of experience in information technology, analytics, or related field
  </li>
  <li>
   Experience in regression modeling, machine learning, natural language processing, data analysis, application of distributed systems to scale solutions, linear algebra, calculus
  </li>
  <li>
   Experience in Linear Algebra, Probability &amp; Statistics, Multivariate Calculus; programming with SQL, Python
  </li>
  <li>
   Experience in supervised and unsupervised Machine Learning algorithms and deep learning frameworks; Data Visualization; data wrangling, developing pipelines for Machine Learning
  </li>
  <li>
   Experience with building big data pipelines and Data Manipulation /data analytics / data management / Big data system.
  </li>
  <li>
   Industry experience with writing code (e.g., Python, Pytorch, PyScala, PySpark, JavaScript) and taking ML models/ algorithms to production
  </li>
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   Strong analytical skills, results-oriented, customer-oriented attitude, good strategic and conceptual thinking skills
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   Ability to present complex information in a clear and concise manner.
  </li>
 </ul>
 <li>
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 <strong>
  Preferred Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   Pharmaceutical industry experience
  </li>
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   Knowledge of SAP BDC including Datasphere and Databricks
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   Design Replication Flows in Datasphere .
  </li>
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   Develop and maintain Spaces, Local Tables, Views, Data Flow, Replication Flow, Transformation Flow, DAC, Task Chain, and Intelligent Lookup within SAP Datasphere
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  </li>
 </ul>
 Work Location Assignment: Hybrid
 <br/>
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 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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 Information &amp; Business Tech
</div>


Manager, SAP Data Scientist

<div><div>ROLE SUMMARY</div><div>
The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. The Manager, Data Science &amp; AI, will play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. By collaborating closely with subject matter experts across various fields, the candidate will leverage advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data.</div><div>
The Manager is responsible for leading high-impact projects such as ROI analysis, Field Force sizing, and analytics tool development, delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and techniques to solve complex problems and create value. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to the pharma business.</div><div></div><div>
ROLES &amp; RESPONSIBILITIES</div><ul><li>
Project Leadership: Leads the delivery and all aspects of engineering activities for data and analytic platforms/solutions, including ROI measurement, marketing mix modeling, or campaign analyses and analytics tool development.</li></ul><ul><li>
Collaboration: Works closely with cross-functional teams and business stakeholders to develop roadmaps and shape solutions using standard technology stacks.</li><li>
Building Analytics Pipelines: Designs and oversees the development of analytics pipelines, products, and insights for the Commercial Pharma domain.</li><li>
Advanced Statistical Analysis: Utilizes advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and actionable insights from data.</li><li>
Business Impact: Synthesizes analysis and data into meaningful recommendations to drive concrete strategic decisions for brand tactics and commercial strategy.</li><li>
Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, championing the adoption of new techniques and tools.</li><li>
Quality &amp; Governance: Ensures best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance.</li></ul><div>
QUALIFICATION &amp; EXPERIENCE</div><ul><li>
Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.</li><li>
5&ndash;9 years of experience in data science, analytics, or AI/ML roles, preferably in commercial pharma, healthcare, or related industries.</li><li>
Proficiency in programming languages such as Python and R, with exposure to machine learning and data visualization tools (including Plotly, Tableau, etc.).</li><li>
Familiarity with databases such as SQL and NoSQL, and experience with data manipulation libraries (e.g., Pandas, Numpy) and machine learning frameworks (e.g., scikit-learn, PyTorch).</li><li>
Experience with large-scale distributed systems (e.g., Spark, Snowflake).</li><li>
Strong understanding of statistical analysis, hypothesis testing, and other advanced statistical analytics techniques.</li><li>
Exposure to modern software development workflows (Git, CI/CD, Docker).</li><li>
Familiarity with HCP engagement data, CRM platforms (e.g., Veeva), and omnichannel promotional metrics.</li><li>
Familiarity with multi-touch attribution (MTA), media mix modeling (MMM), or AI-driven next-best-action frameworks.</li></ul><div>
Good to Have:</div><ul><li>
Experience in dashboard development and data product management.</li><li>
Ability to describe relevant caveats in data or models and how they relate to business questions.</li><li>
Experience with pharma data and commercial analytics is highly desirable.</li><li>
Track record of delivering business impact through analytics in pharma or related sectors.</li></ul><div></div><div>
Professional Characteristics:</div><ul><li>
Adaptability and Flexibility: Demonstrates the ability to adjust and thrive in changing environments, embracing new tasks and applying knowledge in diverse contexts.</li><li>
Strong Communication: Exhibits effective communication skills for workplace interactions, including conveying ideas clearly and listening actively.</li><li>
Positivity: Maintains a positive attitude, showing a willingness to work hard and learn, contributing to a harmonious work environment.</li><li>
Self-Starter: Takes an active role in professional development; stays abreast of analytical trends and cutting-edge applications of data.</li></ul>
<br>
Work Location Assignment: Hybrid<div></div><div><br>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Marketing and Market Research</div><div></div>

Manager, Data Science and AI

<div><div>Use Your Power for Purpose</div><div>
The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world.</div><div>
As an Manager, Analytics Developer, you will play a pivotal, hands-on role creating the data solutions that fuel our most advanced AI and analytics applications. By collaborating closely with subject matter experts and data scientists, you will develop the robust data models, pipelines, and feature stores required to power everything from statistical analysis to complex AI and machine learning models.</div><div></div><div>
Your primary mission is to build the data foundation for high-impact projects such as ROI analysis, Field Force sizing, On demand analytics, Data Strategy.</div><div>
You will be central to delivering new, innovative capabilities by enabling the deployment of cutting-edge AI and machine learning algorithms, directly helping the business solve its most challenging problems and create value.</div><div>
This is a dynamic, fast-paced, and highly collaborative role, covering a broad range of strategic topics critical to the pharma business.</div><div></div><div>
What You Will Achieve</div><div>
In this role, you will:</div><ul><li><div>
Advanced Layer Development: Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools.</div></li><li><div>
Data Strategy Execution: Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks.</div></li><li><div>
Building AI &amp; RAG Pipelines: Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain.</div></li><li><div>
Enabling Advanced Analytics: Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights.</div></li><li><div>
Business Impact: Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy.</div></li><li><div>
Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines.</div></li><li><div>
Quality &amp; Governance: Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions.</div></li></ul><div></div><div>
Here Is What You Need (Minimum Requirements)</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.</div></li><li><div>
5-9 years of experience in data or analytics engineering.</div></li><li><div>
Strong Python Skills: Proven ability to write clean, performant, and maintainable Python for data engineering, with proficiency in libraries like Polars, Pandas and Numpy.</div></li><li><div>
Modern Data Stack &amp; Systems: Extensive hands-on experience with large-scale distributed systems, including dbt, Airflow, Spark, and Snowflake.</div></li><li><div>
Data Modeling &amp; Databases: A strong background in building and managing complex data models and warehouses, with experience across both SQL and NoSQL databases.</div></li><li><div>
Data Quality &amp; Observability: Experience implementing and managing frameworks for data quality testing, observability, and alerting.</div></li><li><div>
Modern Software Development: Solid experience with modern software development workflows, including Git, CI/CD, and Docker, to automate analytics processes.</div></li><li><div>
Project Leadership: Experience mentoring other engineers and leading technical projects.</div></li></ul><div></div><div>
Bonus Points If You Have (Preferred Requirements)</div><ul><li><div>
Pharma Analytics: Experience with pharmaceutical data and a track record of delivering business impact in the commercial pharma sector.</div></li><li><div>
Data Engineering Best Practices: Experience with performance tuning, cost optimization, and managing large-scale data infrastructure.</div></li><li><div>
Dashboard Development: Experience building dashboards using tools like Tableau, Power BI, or Streamlit.</div></li><li><div>
Business Communication: The ability to explain data limitations and how they affect business questions to non-technical audiences.</div></li><li><div>
Data Product Management: Familiarity with the principles of managing data as a product.</div></li></ul><div></div><div>
 Work Location Assignment: Hybrid</div><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Information &amp; Business Tech</div><div></div>

Manager, Analytics Developer

Join Pfizer and explore 23   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.