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 offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.
manager, data strategy & management
is a key contributor within the data strategy & management (dsm) team, responsible for
executing and operationalizing enterprise data strategy, governance, and foundational data solutions
that enable high-quality analytics and business insights.
this role partners closely with senior team members, analytics, data science, and business stakeholders to
design, build, and maintain scalable, reliable data assets
that support commercial and enterprise decision-making in performance reporting. The manager operates as a
hands-on data leader
, translating defined strategies and business requirements into well-engineered, compliant, and reusable data products.
this position is ideal for an experienced data professional who thrives in execution, collaboration, and technical problem-solving, while continuing to grow strategic influence.
role responsibilities
execute components of the enterprise data strategy by delivering data pipelines, assets, frameworks, and solutions aligned to support business priorities of the data science, iis, and performance analytics and insights (pai) team.
partner with senior dsm leaders to operationalize governance standards, data quality rules, and best practices.
support adoption of data strategy through documentation, enablement, and collaboration with performance analytics and insights (pai) and business teams.
contribute to continuous improvement of data management processes and standards.
data strategy execution & enablement
translate business and analytics requirements into
scalable data designs, pipelines, and data structures
.
build, enhance, and maintain reliable data pipelines and curated data layers for analytics and reporting.
ensure data solutions meet
privacy, security, and regulatory requirements
.
collaborate with data science and analytics partners to enable advanced analytics and modeling use cases.
support automation, validation, and monitoring to improve data reliability and operational efficiency.
collaboration & stakeholder partnership
work closely with analytics, marketing, digital, and technology teams to deliver high-quality data products.
communicate technical concepts clearly to non-technical partners.
serve as a dependable delivery partner, proactively identifying risks and proposing solutions.
contribute to team knowledge sharing and mentor junior team members on standards and best practices.
qualifications
basic qualifications
bachelor's degree with
5+ years
of relevant experience
or
master's degree with
3+ years
or
phd with
0-2 years
in data engineering, data strategy, analytics engineering, or related fields.
strong hands-on experience with
sql, python
, and modern data platforms.
solid understanding of data pipelines, data modelling, and distributed data architectures.
experience translating business requirements into technical data solutions.
working knowledge of data governance, data quality, and compliance concepts.
strong communication and collaboration skills.
preferred qualifications
experience in commercial, marketing, or regulated environments (e.g., life sciences).
familiarity with api integrations, data validation frameworks, and analytics-ready data models.
experience working in agile delivery environments.
exposure to cloud-based data platforms and orchestration tools.
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.
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