Analytics Director Jobs in New Jersey
Analytics Director jobs in New Jersey are in strong demand, with consistent hiring concentrated in financial services, pharmaceuticals, and consumer goods sectors and openings at every level from senior analyst stepping into a first leadership role through VP-level director. The most active hiring metros are Newark, Princeton, and Jersey City, where established employers like Johnson & Johnson, Prudential Financial, and Cognizant maintain large analytics and data science organizations. The most sought-after specialties in New Jersey include marketing analytics, risk and financial modeling, and commercial insights tied to life sciences. Find a role that fits below and apply directly.
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At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.
Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.
Does this inspire you and feel like a fit? Then we would love to have you join us!
The Opportunity
Genmab is creating the Director, Global Commercialization, Advanced Analytics & AI role to build and govern a cohesive AI-enabled analytics capability within the Business Intelligence & Analytics function. This is a foundational role at a pivotal moment: Genmab's commercial portfolio is growing in complexity, the demand for faster and more confident decision-making is accelerating, and the opportunity to embed artificial intelligence into commercial operations has never been more actionable.
The Director, Advanced Analytics & AI will operate as an individual contributor with significant cross-functional influence, serving as the internal architect of Genmab's advanced analytics and AI capability within BI&A. The role spans both building — standing up AI tools, analytics frameworks, and data products — and governing — establishing standards, oversight structures, and responsible AI practices that ensure consistent, high-quality output across forecasting, competitive intelligence, primary market research, and commercial analytics.
This is not a support function. The Director, Global Commercialization, Advanced Analytics & AI will shape how Genmab's commercial teams make decisions, allocate resources, and measure performance — with AI and advanced analytics as the enabling mechanism.
Work arrangement: This role offers flexibility to work away from the office for 20%–40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.
Key Responsibilities:
AI Capability Build and Deployment
- Identify, evaluate, and deploy AI-enabled tools and analytics capabilities that materially improve the speed, quality, and consistency of commercial decision-making within BI&A.
- Partner with internal technology stakeholders and external vendors to define the AI product roadmap for BI&A, prioritizing use cases with the highest commercial impact across forecasting, CI, PMR, and performance analytics.
- Develop and deploy advanced analytics solutions — including predictive models, NLP-based intelligence tools, and AI-assisted forecasting — that become embedded in day-to-day BI&A workflows.
- Evaluate and integrate emerging AI platforms (including tools such as Frontier and others in the GCO ecosystem) to determine fit, scalability, and governance requirements before enterprise adoption.
- Build reusable frameworks, prompt libraries, and analytical templates that enable BI&A team members to leverage AI effectively without requiring deep technical expertise.
Governance and Responsible AI
- Establish and maintain an AI governance framework for BI&A — covering data quality standards, model validation, output review protocols, privacy compliance, and responsible use guidelines consistent with Genmab's enterprise policies.
- Define clear standards for when and how AI-generated outputs are used in commercial decision-making, ensuring transparency, auditability, and appropriate human oversight.
- Serve as BI&A's primary point of accountability for AI risk identification and mitigation, partnering with Legal, Compliance, and Digital & Technology to ensure alignment with evolving regulatory expectations.
- Develop and maintain documentation and training resources that enable consistent, compliant AI use across all BI&A capabilities.
Commercial Analytics and Decision Support
- Translate complex commercial data — spanning syndicated sources (IQVIA, Symphony), patient-level analytics, primary market research, and competitive intelligence — into AI-augmented insights that drive faster and more confident decision-making.
- Collaborate with Forecasting, CI, PMR, and Analytics leads within BI&A to identify where AI can reduce cycle time, improve accuracy, or expand analytical depth without compromising integrity.
- Support the development of executive-ready commercial narratives by enabling AI-assisted synthesis, scenario modeling, and performance reporting at the brand, portfolio, and enterprise level.
- Contribute to Long-Range Planning, brand planning, and governance body deliverables (CDT, PFB) by embedding AI-enabled analytical capabilities into established commercial planning processes.
Cross-Functional Influence and Stakeholder Partnership
- Operate as a trusted internal advisor on AI and advanced analytics to BI&A leadership and GCO commercial partners — influencing priorities, investments, and ways of working without direct people management authority.
- Build strong dotted-line relationships across Commercial, Medical Affairs, Market Access, Finance, and Digital & Technology to ensure advanced analytics and AI capabilities are aligned with broader organizational needs.
- Represent BI&A in enterprise-wide AI and data strategy discussions, ensuring the commercial analytics perspective is reflected in platform decisions and technology investments.
- Communicate complex AI concepts and analytical frameworks clearly to non-technical commercial audiences, building organizational confidence in AI-enabled decision-making.
Ideal Candidate Profile
The Director, Global Commercialization, Advanced Analytics & AI will be a rare combination of analytical depth, AI fluency, and commercial acumen. The successful candidate will have the intellectual credibility to earn trust among senior analytics professionals and the communication skills to make AI accessible and actionable for commercial leaders who are not technical by background.
This individual thrives in a build environment — energized by the challenge of creating something new, comfortable with ambiguity, and capable of driving progress without a large team or pre-existing infrastructure. They bring a governance mindset alongside a builder's instinct, understanding that sustainable AI capability requires rigor, documentation, and oversight — not just deployment speed.
Experience and Qualifications:
- 12+ years of progressive experience in commercial analytics, data science, or business intelligence within the biopharmaceutical or life sciences industry.
- Demonstrated experience deploying AI and advanced analytics tools in a commercial or business intelligence context — including hands-on work with LLMs, NLP, predictive modeling, or AI-assisted analytics platforms.
- Deep understanding of pharmaceutical commercial data sources, including IQVIA, Symphony Health, patient-level claims data, EHR, and specialty pharmacy data.
- Experience establishing data governance frameworks, AI use standards, or analytics quality protocols in a regulated industry context.
- Proven ability to translate complex analytical concepts into clear, actionable business recommendations for executive audiences.
- Experience working within or alongside commercial functions including Forecasting, Competitive Intelligence, Primary Market Research, and/or Commercial Analytics.
- Bachelor's degree required; advanced degree in Data Science, Analytics, Business, Statistics, Computer Science, or a related discipline strongly preferred.
Leadership Capabilities
Strategic Thinking and Vision - Defines a clear long-term vision for advanced analytics and AI within BI&A; anticipates where AI will create the greatest commercial value and builds toward it systematically.
Influence Without Authority - Builds credibility through expertise and demonstrated results; navigates a matrixed organization to align stakeholders and drive adoption without formal reporting relationships.
Commercial Judgment - Understands what commercial leaders need to make better decisions and prioritizes AI investments accordingly — not technology for its own sake, but capability that drives measurable business impact.
Governance and Accountability - Holds a high bar for quality, consistency, and responsible use; builds systems and standards that sustain performance over time rather than optimizing for short-term output.
Communication and Simplification - Translates technical complexity into clear business language; makes AI legible and approachable for commercial partners while maintaining analytical rigor.
What Success Looks Like
- An Advanced Analytics & AI roadmap for BI&A is defined, socialized, and approved — with clear use case priorities, governance standards, and delivery milestones.
- A governance framework for AI within BI&A is established, documented, and operating — covering data quality, model oversight, compliance, and responsible use.
- Cross-functional trust is established: BI&A commercial partners view the Director as a credible, go-to resource on how AI can accelerate their work.
- Advanced Analytics & AI is recognized as a core BI&A capability — embedded in forecasting, CI, PMR, and commercial analytics workflows as a standard way of working.
- Genmab's BI&A function is regarded as a leader in AI-enabled commercial analytics within the biopharma industry.
- The Director has contributed materially to enterprise-level AI strategy discussions, ensuring BI&A's commercial intelligence needs are reflected in platform and technology decisions.
For US based candidates, the proposed salary band for this position is as follows:
$194,720.00-$292,080.00The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives.
When you join Genmab, you’re joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for:
- 401(k) Plan: 100% match on the first 6% of contributions
- Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
- Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
- Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
- Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
- Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses
Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process
About Genmab
Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines.
Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X.
Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).
Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the fixed-term employment contract.
See All 36 Analytics Director Jobs in New Jersey
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Analytics Director Job Market in New Jersey
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Who's Hiring



Top Industries Hiring
- Biotechnology & Pharmaceuticals
- News & Publishing
- Technology & Software
- Fintech
- Food & Beverage
What New Jersey Employers Look For
The qualifications that appear most often in analytics director jobs across New Jersey.
- Bachelor's or master's degree in statistics, data science, computer science, or a related quantitative field
- Seven or more years of analytics experience with at least three in a people-management or team-lead role
- Demonstrated proficiency in SQL, Python, or R alongside BI platforms such as Tableau or Power BI
- Experience presenting data-driven recommendations to C-suite or senior business stakeholders
- Background in a relevant New Jersey industry vertical such as financial services, life sciences, or consumer packaged goods
- Proven ability to build and scale analytics infrastructure, including data pipelines and governance frameworks
Analytics Director Jobs in New Jersey: Frequently Asked Questions
How do you become a analytics director in New Jersey?
Analytics director is not a state-licensed role in New Jersey, so there is no required board exam or registration. The typical path starts with a quantitative undergraduate degree followed by progressive analytics roles, often within New Jersey's large financial services or pharmaceutical employers, until a candidate reaches a senior analyst or manager level. An MBA or a master's in data science from one of New Jersey's research universities can accelerate the move into director-level leadership.
How much do analytics directors make in New Jersey?
Analytics directors in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics directors in New Jersey?
Employers hiring analytics directors in New Jersey right now include Audible, Tiger Analytics, and JPMorganChase, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of pharmaceutical headquarters, financial institutions, and consumer goods companies means analytics director roles here tend to sit close to core business functions rather than in standalone data divisions.
Which New Jersey cities have the most analytics director jobs?
The cities with the most analytics director openings in New Jersey are Princeton, Jersey City, and Newark. Newark and Jersey City draw the bulk of openings from financial services and professional services firms tied to the broader New York metro, while Princeton and the Route 1 corridor attract analytics leadership roles from pharmaceutical and biotech employers headquartered in central New Jersey.
Are there remote analytics director jobs in New Jersey?
Yes, and more than most fields. About 59% of analytics director openings tied to New Jersey are remote or hybrid as of September 2026, reflecting the desk-based, data-driven nature of the work. Strategic and reporting functions tend to be the most remote-compatible, while roles tied to cross-functional product teams or on-site business partners in New Jersey more often require hybrid schedules.
How can I get hired as a analytics director in New Jersey with little or no experience?
The most realistic entry path is moving into a senior analytics or analytics manager role first, then building toward the director title. New Jersey's pharmaceutical employers, including those along the Route 1 corridor, regularly recruit data analysts and analytics associates through rotational programs designed for recent graduates. Adjacent roles in business intelligence, data engineering, or marketing operations within New Jersey's consumer goods sector also provide a credible bridge, particularly when paired with a portfolio of end-to-end projects or a relevant master's degree.
Where can I find and apply to analytics director jobs in New Jersey?
You can find and apply to analytics director jobs in New Jersey on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings, find roles that fit your background and location preferences, and apply directly to the ones that match.
See All 36 Analytics Director Jobs in New Jersey
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