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Pfizer Director, Data and Analytics Strategy in New York City, New York

The Analytic Transformation & Governance team is the central pillar for propelling a rapid transformation within the recently formed Commercial Analytics & AI (CAAI) organization at Pfizer. This organization is made up of various functional areas including Insight Strategy & Execution, Market Research Insights, Data Science and AI, and Analytic Engineering. Our core objective is to facilitate and guide this organization through its transformative journey by delivering crucial initiatives, tools, and capabilities. As a key player in Pfizer's commercial transformation, our team takes the lead in defining and driving critical analytic priorities and governance necessary to achieve our goals.

ROLE SUMMARY

The Director, Data and Analytics Strategy for Analytics Capabilities plays a critical role in driving the development, prioritization and growth of analytics capabilities within the Commercial Analytics and AI organization. They are responsible for interfacing with the business to gather data feature requirements, translating business and feature requirements into technical requirements for the Analytics Engineering teams, ensuring the delivery of valuable insights and actionable recommendations through scalable data products and solutions. The TDPM will collaborate with the CAE engineering leadership team on strategy and planning for feature delivery, data architecture solutions, and roll-out and communication of analytics data capabilities that scale horizontally across reporting capabilities and data domains.

This is an individual contributor role.

ROLE RESPONSIBILITIES

Strategy and Plan:

  • Collaborate with CAE engineering leadership to define and communicate a clear vision for the analytics data capabilities roadmap, aligning with business goals to drive the adoption and utilization of data products.

  • Identify and understand the specific audience or stakeholders who will benefit from the capabilities through contextual inquiry, interviews, journey mapping exercises, and other research techniques.

  • Conduct assessments, gather requirements, and define necessary features and functionality horizontally across common data sets as relevant to commercialization/marketing of pharmaceutical products.

  • Collaborate with CAE engineering leadership to create feature roadmaps that outline the strategic direction, priorities, and timeline for development of data products.

  • Identify new data sources that accelerate business stakeholder decision making capabilities.

  • Work across stakeholders to align on priorities considering factors such as benefit, effort, cost and time to value.

Development Life Cycle:

  • Define and track progress on key milestones and deliverables throughout the development life cycle.

  • Act as a guide and advocate, ensuring alignment with the data product vision.

  • Translate business requirements into technical requirements and stories for Analytics Engineering.

  • Work with Data governance and CAE data architecture to align business requirements with data standards.

  • Work directly with content engineering leads to hand off technical requirements and ensure clear transition to development teams.

Communication:

  • Establish a cadence of updates and feedback sessions with key stakeholders.

  • Develop a rollout schedule and deliver training sessions for effective utilization of data capabilities to business stake holders, data scientists, and data engineers alike.

  • Establish support mechanisms and channels to address user queries and maximize value.

  • Act as subject matter expert in various pharmaceutical commercialization data domains.

BASIC QUALIFICATIONS

  • 10+ Years experience in data product management or algorithm design/development, with at least 10 years of experience in SQL and relational databases.

  • BA or Masters in Computer Science or Engineering, Data Science or equivalent work relevant work experience.

  • At least 5 years of experience in Technical Product Management and agile software delivery practice.

  • Deep understanding of data processing for data science and analytics purposes, data management and design/architecture, and data product scalability techniques.

  • At least 10 years of experience in writing/designing business and technical specifications for analytic data product purposes.

  • Strong ability to bridge the gap between technical and business needs.

  • Proven track record in developing, executing, and delivering data product strategies and roadmaps within an agile development framework.

  • Knowledge of Sales and Marketing organizations and their analytics needs.

  • At least 5 years of experience with healthcare data and exposure to healthcare data architecture is required.

  • Strong communication, storytelling, and stakeholder management skills and ability to connect with both technical and business audiences.

  • Ability to make product-related decisions and define metrics and KPIs based on business use cases.

  • Experience with Atlassian products including Confluence and JIRA.

  • Collaboration and teamwork skills to foster a culture of collaboration.

  • Proven accountability in reporting progress, challenges, and opportunities to stakeholders.

PREFERRED QUALIFICATIONS

  • Master's degree in a relevant field such as computer science, data science, information systems, or a related discipline.

  • Direct experience with Marketing and Sales Data within the BioPharma industry.

  • Strong understanding of data management principles, data processing, and data analytics.

  • Familiarity with data warehousing concepts and technologies.

  • Knowledge of data integration, ETL (Extract, Transform, Load) processes, and data governance.

  • Understanding of cloud and big data technologies such as Hadoop, Spark, or NoSQL databases.

  • Experience with data visualization tools like Tableau, Power BI, or Looker.

  • Technical Product Manager certification, AWS Solutions Architect certification, Lean certification, Scrum Master certification or similar raise the bar for a candidate.

  • Working background in data science, data engineering, statistics, or similar.

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

PHYSICAL/MENTAL REQUIREMENTS

None

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Limited business travel as needed

Relocation support provided.

Work Location Assignment:Hybrid

The annual base salary for this position ranges from $149,200.00 to $248,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & 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, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.

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