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Performance Marketing Strategy & Lead

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: Dawar Consulting
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 78 - 80 USD Hourly USD 78.00 80.00 HOUR
Job Description & How to Apply Below
Position: Performance Marketing Strategy & Incentives Lead

Performance Marketing Strategy & Incentives Lead

South San Francisco, United States | Posted on 06/19/2026

Our Client, a world leader in Biotechnology is looking for a Performance Marketing Strategy & Incentives Lead for SSF, CA

Job Duration:
Long Term Contract (Possibility Of Extension)

Pay Rate: $78 - $80/hr on W2

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

Our Client is seeking a Performance Marketing Strategy & Incentives Lead to support the evolution of a data-driven, experimentation-led marketing organization. This role will partner with Marketing, Analytics, Finance, and Operations teams to drive performance marketing initiatives through measurement, optimization, experimentation, reporting, and incentive program management.

The ideal candidate will have experience in marketing analytics, performance marketing, experimentation frameworks, dashboard reporting, and cross-functional stakeholder management. Experience with Google Analytics (GA4), Adobe Analytics, SEO, digital advertising platforms, and data visualization tools is highly preferred.

Key Responsibilities
  • Manage and support the execution of Genentech's Marketing Incentives Program, including experiment evaluation, scoring, rankings, and reporting.
  • Evaluate optimization and experimentation submissions and provide leadership-ready recommendations for quarterly and annual awards.
  • Develop, maintain, and enhance performance marketing dashboards, scorecards, and reporting frameworks.
  • Partner with marketing teams to improve experiment design, measurement methodologies, and optimization strategies.
  • Validate experiment submissions against established qualification, measurement, and statistical significance criteria.
  • Support A/B testing, geo-holdout testing, and other experimentation initiatives.
  • Manage recurring data ingestion, validation, quality assurance, and reporting processes across multiple marketing data sources.
  • Monitor data integrity, reporting timelines, and measurement governance standards.
  • Collaborate with Marketing Operations, Digital & Data Analytics, Finance, and business stakeholders to ensure consistent reporting methodologies.
  • Develop operational documentation, governance frameworks, process workflows, SOPs, and reporting playbooks.
  • Support annual recognition and awards programs through case study evaluations, scoring coordination, and leadership reporting.
  • Identify opportunities for process improvement and scalable marketing measurement solutions.
Required Qualifications
  • Bachelor's degree in Marketing, Analytics, Business, Data Science, Information Systems, or related field.
  • 5+ years of experience in Performance Marketing, Marketing Analytics, Marketing Operations, Business Analytics, Digital Marketing Measurement.
  • Experience working with campaign measurement.
  • Strong understanding of performance marketing principles, A/B testing methodologies, statistical significance, marketing attribution, optimization frameworks, and cross‑functional collaboration with marketing, analytics, operations, and finance teams.
  • Strong analytical and problem‑solving skills.
  • Excellent communication and stakeholder management abilities.
Preferred Qualifications
  • Experience with Google Analytics 4 (GA4), SEO and organic search analytics, Google Ads, Meta Ads Manager, Linked In Campaign Manager, Tik Tok Ads, Reddit Ads.
  • Proficiency in Tableau, Power BI, Looker, Excel/Google Sheets, SQL.
  • Experience running A/B Tests, Multivariate Tests, Geo Holdout Experiments, Incrementality Testing.
  • Knowledge of pharmaceutical, biotech, healthcare, or regulated industries.
  • Experience with incentive programs, performance recognition programs, or governance frameworks.
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