Genentech

Genentech

Senior Director, Patient Insights & Analytics

South San Francisco, USA · Director

Sponsorship not specifiedDetected 1 day ago
Machine LearningData ScienceStatisticsA/B TestingCRMEHR/EMRPatient CareLeadershipCollaborationMentoring

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 21 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 77%

Of 13 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 487 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

34 transfer filings in the last year, covering 34 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • At Genentech, delivering transformative therapies goes hand-in-hand with creating seamless, deeply supportive patient experiences.
  • Leading a high-performing team of analysts, you will bridge deep pharmaceutical patient journey expertise with cutting-edge analytics, AI/ML methodologies, and scalable technology.

Responsibilities

  • As the Senior Director, Patient Insights & Analytics, you will serve as the strategic decision-support engine behind our patient engagement and portfolio strategies.
  • Your team's insights will directly shape commercial strategies, optimize Next Best Action (NBA) frameworks, and measure the real-world impact of our patient support programs.
  • If you are a visionary analytical leader who thrives at the intersection of data, patient care, and strategic influence, this role offers an unrivaled platform to transform how insights drive patient outcomes at scale.
  • Strategic Insight Leadership & Decision Support:
  • Serve as the core strategic decision-support lead for patient engagement, driving the integration of actionable patient insights into commercial strategy, brand planning, and portfolio execution.
  • Establish robust analytical frameworks and methodologies to quantify the reach, efficacy, business value, and ROI of patient engagement strategies and support initiatives across brands and portfolios.
  • Partner closely with Brand and Patient Experience teams to align analytics capabilities with overarching business objectives and communicate complex analytical findings into compelling executive narratives.

Requirements

  • People Leadership, You have 5+ years of direct people management experience, leading and mentoring high-performing teams of data analysts, data scientists, or insights professionals.

Compensation

  • The expected salary range for this position based on the primary location of South San Francisco, CA is $209,200/yr to $388,400/yr.

Benefits

  • You have a Bachelor's degree in Data Science, Statistics, Economics, Health Economics, Business Analytics, Life Sciences, or a related quantitative field.
  • You have 12+ years of relevant experience in life sciences, pharmaceutical commercial analytics, decision support, or management consulting with a focus on healthcare.
  • Relocation benefits are NOT available for this posting

Equal opportunity

  • equal opportunity employer.
  • If you have a disability and need an accommodation in relation to the online

This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.