Jobs / United States / Pfizer INC

Pfizer INC

Senior Manager, Data Enablement Oncology

2 Locations Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 40 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Pfizer INC paid sponsored hires in similar roles1 certified filing for “Manager, Statistical Data Sciences Lead” (Data Scientists) in NJ: $109k–$109k, median $109k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 40 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Pfizer INC paid sponsored hires in similar roles
1 certified filing for “Manager, Statistical Data Sciences Lead” (Data Scientists) in NJ: $109k–$109k, median $109k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Senior Manager, Data Strategy & Management (Oncology) Use Your Power for Purpose The Senior Manager, Data Strategy & Management (Oncology) is the data strategy and management partner for assigned Oncology brand(s), part of a broader Oncology Data Strategy & Management team. This role connects its brand teams to enterprise Data Strategy, Data Governance, and Pfizer Digital data teams — translating brand needs into data solutions and ensuring the data behind the brand’s commercial reporting, analytics, and AI-enabled applications is accurate, well-governed, and trusted. The role reports to the Senior Director, Data Strategy & Management (Oncology).  This role reports into Senior Director of Data Strategy and Management Oncology. Key Responsibilities Brand Data Partnership and Strategy Execution • Serve as the primary data strategy and management partner for assigned Oncology brand(s), representing their data needs to enterprise Data Strategy, Data Governance, and Pfizer Digital, and applying enterprise standards within the brand. • Execute the Oncology data strategy for assigned brands in alignment with commercial objectives, including data sourcing, infrastructure, and platform priorities developed with Pfizer Digital and the broader Oncology DS&M team. • Partner with analytics and AI teams to ensure the data underlying the brand’s insights, dashboards, and AI-enabled applications is fit for purpose, with documented provenance and quality that stakeholders can stand behind. • Communicate data challenges, trade-offs, and solutions clearly to brand stakeholders; be a trusted voice on what the data can and cannot reliably support. Master Data and Data Quality • Manage quality control of key master data for assigned brands, including HCP and HCO records, affiliations, and hierarchies, ensuring master data is current and integrated into commercial systems (CRM, reporting, analytics). • Operate data validation, cleansing, and monitoring processes, in line with Oncology-wide standards, so commercial data is reliable and decision-ready. • Track KPIs for data quality and performance for assigned brands, contributing to the Oncology-wide quality program and driving improvements where gaps appear. • Partner with the Incentive Compensation team to produce IC base data for assigned brands, ensuring IC inclusion and exclusion rules are correctly applied and auditable. Delivery, Vendors, and Process • Lead brand-level data management projects from scoping through delivery, on time and within scope, coordinating across commercial operations, sales, marketing, and Digital. • Support management of external Lab and Claims vendors and providers for assigned brands, ensuring sourcing, quality, and delivery meet Pfizer standards. Evaluating new vendors working with Brand team to enhance the data coverage.  • Identify and implement process improvements that increase efficiency and scalability, and support adoption of new data management tools and processes within the brand teams. Compliance and Data Security • Ensure data management practices for assigned brands comply with applicable privacy and regulatory requirements (e.g., HIPAA, GDPR), with particular attention to patient-level and other sensitive Oncology data. • Apply data security best practices to protect PII and sensitive commercial data, and maintain transparent, documented governance practices. Basic Qualifications •  Applicant must have a bachelor's degree with at least 6 years of experience; OR a master's degree with at least 5 years of experience; OR a PhD with 1+ years of experience • Experience in data management, commercial information management, or information systems in the pharmaceutical industry. • Hands-on experience with modern data platforms and commercial

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