Genentech

Genentech

Senior Manager Business Intelligence, AI & Data Governance, CVRM

Holly Springs, USA · Senior

Sponsorship not specified$133k-$248kDetected 1 day ago
PythonCode ReviewSQLMachine LearningData AnalysisData EngineeringData ScienceComplianceProject ManagementAgileStakeholder ManagementProcess ImprovementERPANSYSRoboticsMechanical DesignGMPFDA RegulatoryLeadershipCommunicationCollaborationMentoringSCADALean Manufacturing

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

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

  • The Senior Manager Business Intelligence, AI & Data Governance is the site's technical and strategic leader for data-driven operations, responsible for designing, building, and maintaining a comprehensive data ecosystem that drives actionable intelligence across manufacturing, quality, and warehouse operations.
  • This is a working specialist role -you will design and build dashboards, collaborate on data analysis, and establish data governance norms across the site, while simultaneously leading and mentoring a high-performing team of data engineers, BI developers, data scientists, and data governance specialists.
  • You bridge complex engineering and data architectures with daily manufacturing, quality, and warehouse operations, ensuring intelligence is actively utilized, continuously validated, and expanded to deliver measurable business impact.

Responsibilities

  • Design, deploy, and personally build site-wide BI dashboards, analytics pipelines, and KPI frameworks that support operational, quality, and executive decision-making ● Analyze plant data to proactively identify operational opportunities (yield optimization, cycle time reduction, energy efficiency, quality improvements) and partner with business functions to translate insights into action
  • Co-design data visuals and analytics solutions with Operations, Quality, Engineering, and Warehouse teams, ensuring relevance and usability
  • Establish and manage analytics time-to-insight standards, reducing lead time for operational reports and batch disposition analytics
  • Lead the execution of AI/ML initiatives including predictive maintenance, yield optimization, and real-time operator decision support
  • Drive measurable improvements in batch yield, equipment uptime (OEE), or downtime reduction through predictive AI models
  • Lead data quality assurance mechanisms and maintain 100% adherence to GxP/ALCOA+ standards
  • Partner with Quality Assurance and Compliance teams to align data integrity protocols and AI validation strategies

Requirements

  • 8+ years of experience in pharmaceutical manufacturing, process engineering, automation, data analytics, or industrial digital transformation
  • Proven track record in managing product lifecycles, backlogs, and use case prioritization with demonstrated ability to translate complex business requirements into prioritized, actionable deliverables
  • Experience establishing and enforcing data governance policies, data lineage, and quality assurance mechanisms in GxP-regulated environments
  • Demonstrated expertise in FDA 21 CFR Part 11 and ALCOA+ compliance ● Experience leading data governance initiatives outside of ERP systems

Nice to have

  • Experience driving organizational adoption of new technologies and methodologies Certifications (Preferred):

Skills

  • Welcome to Holly Springs, North Carolina- home to
  • Roche/Genentech's largest-ever investment:
  • This is a fast-paced, entrepreneurial environment with a high-level of accountability, with planned launch in 2028.

Compensation

  • The expected salary range for this position based on the primary location for this position of Holly Springs, North Carolina is $133,400 - $247,800.

Benefits

  • A discretionary annual bonus may be available based on individual and Company performance.
  • Link to Benefits

Equal opportunity

  • equal opportunity employer.
  • If you have a disability and need an accommodation in relation to the online
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This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.