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Global Risk Sensing Jobs (NOW HIRING)

... risk sensing capabilities. This leader accelerates the transformation from reactive compliance to ... The role shapes the longterm digital quality vision, drives the global roadmap, and ensures ...

Global Commodity Manager

Mountain View, CA · On-site

$107K - $145K/yr

Aeva is transforming autonomy with its groundbreaking sensing and perception technology that ... Conduct comprehensive supplier risk assessments and develop mitigation plans. * Supplier ...

Global Commodity Manager

Mountain View, CA · On-site

$107K - $145K/yr

Aeva is transforming autonomy with its groundbreaking sensing and perception technology that ... Conduct comprehensive supplier risk assessments and develop mitigation plans. * Supplier ...

Implement AI-augmented reporting, dashboards, and risk sensing. AI Program Delivery * Oversee end ... Join an ever-growing, market disrupting, global company where the teams - comprised of the best of ...

Global IT Manager - Automotive (Sylux)

Goleta, CA · On-site

$102K - $125K/yr

ABOUT SYLUX SYLUX is an innovative company specializing in infrared sensing and AI-driven ... Cybersecurity frameworks and risk management * IT service management (ITIL) * Enterprise ...

Senior Manager of BU Operation

San Jose, CA · On-site

$169K - $287K/yr

Our global footprint, cutting-edge manufacturing capabilities, and commitment to innovation create ... sensing technologies. Climate change presents not only a risk to the environment, but also ...

Own supplier performance management, including cost, quality, delivery, and risk metrics ... Background in sensor or electro-optical hardware manufacturing, particularly depth sensing, 3D ...

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Global Risk Sensing information

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How much do global risk sensing jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for global risk sensing in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Global Risk Sensing professional, and why are they important?

To thrive as a Global Risk Sensing professional, you need strong analytical abilities, risk assessment expertise, and a background in fields such as finance, international relations, or data science. Familiarity with risk management software, data visualization tools, and certifications like FRM (Financial Risk Manager) or CRISC (Certified in Risk and Information Systems Control) is typically required. Exceptional communication, critical thinking, and cross-cultural awareness help professionals interpret complex data and collaborate globally. These skills and qualities are vital to proactively identify emerging risks and inform strategic decision-making in dynamic international environments.

How does a Global Risk Sensing professional typically collaborate with international teams to identify and address emerging risks?

Global Risk Sensing professionals frequently work with cross-functional teams spanning different countries and time zones. Collaboration involves regular virtual meetings, sharing of risk intelligence reports, and joint analysis of global trends to proactively identify threats. Building strong relationships with local stakeholders is essential for gathering on-the-ground insights and ensuring effective risk mitigation strategies. This role often requires adaptability and cultural sensitivity, as professionals must synthesize diverse perspectives into actionable recommendations.

What is global risk sensing?

Global risk sensing refers to the process of continuously scanning, identifying, and analyzing emerging risks that could impact organizations, industries, or societies worldwide. It involves monitoring a wide range of sources, such as news outlets, social media, regulatory updates, and geopolitical developments, to detect early warning signals of potential threats. The goal is to enable proactive risk management by providing timely insights that help organizations prepare for and mitigate the effects of global risks.

What is the difference between Global Risk Sensing vs Risk Analyst?

AspectGlobal Risk SensingRisk Analyst
Required CredentialsTypically requires degrees in risk management, finance, or related fields; certifications like FRM or CRMSimilar credentials; often holds degrees in finance, economics, or risk management; certifications like FRM or CRM are common
Work EnvironmentGlobal risk teams, multinational corporations, consulting firmsFinancial institutions, corporations, consulting firms
Industry UsageUsed in global companies to monitor and predict risks across marketsUsed to analyze specific risks within organizations or sectors

Global Risk Sensing focuses on identifying and predicting risks on a worldwide scale, often involving strategic insights across markets. Risk Analysts typically evaluate specific risks within organizations or sectors, providing detailed assessments. While both roles require similar credentials and work environments, their scope and focus differ—Global Risk Sensing is broader and strategic, whereas Risk Analysts are more operational and detail-oriented.

VP, Data & Digital Quality

Jj

Horsham, PA • On-site

Full-time

Retirement, PTO

Posted 14 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Quality

Job Sub Function:

Digital Quality

Job Category:

People Leader

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, New Brunswick, New Jersey, United States of America

Job Description:

The VP, Data & Digital Quality is accountable for architecting and executing the digital and data strategy that will reimagine Quality through advanced analytics, AI/ML, agentic orchestration, and nextgeneration risk sensing capabilities. This leader accelerates the transformation from reactive compliance to predictive, intelligencedriven Quality, leveraging enterprise data, automation, and digital products to improve risk visibility, strengthen decisionmaking, and enhance patient safety.


The role shapes the longterm digital quality vision, drives the global roadmap, and ensures highquality delivery of platforms, predictive models, emerging technologies, and compliance systems across all regions and segments. and supports the Q&C digital talent development strategy.

This leader partners with Regulatory, Technology, Business leaders and Quality colleagues to drive measurable improvements in quality outcomes and audit readiness by enabling the evolution of Quality practices to incorporate emerging technologies.

Major Duties & Responsibilities:

Digital Product Strategy & Portfolio Delivery

  • Own and continuously evolve the enterprise portion of the Q&C Digital Strategy & Data 5Year Roadmap, including integration into long-range financial planning, business planning and refresh cycles. Oversee and set high-level strategy for sector Digital Strategy & Roadmap.

  • Lead the strategic shift toward predictive digital quality, ensuring digital product roadmaps incorporate AI?ML, advanced analytics, data quality and adaptive risk models that proactively identify issues before they impact patients or compliance.

  • Drive the integration of advanced technologies including automated and agentic risk alerts into Quality operations.

Data Platforms, Architecture & Visualization

  • Build and scale an enterprise quality data architecture (structured and unstructured) that enables nearrealtime data ingestion (where applicable), harmonization, AI-ready data quality, and modeling to support rapid detection of trends, improves predictive and preventive capabilities, and accelerates Quality decisionmaking.

  • Advance capabilities in risk dashboards, anomaly detection, and quality signal intelligence using tools such as QUALIFI, ThoughtSpot, and modern cloud analytics stacks.

Drive Adoption of Emerging Technologies

Either at an enterprise level, or through support at sector level:

  • Build and operationalize an AI/ML strategy for Quality, including use cases in process monitoring, automated document intelligence, complaint/risk signal extraction, audit prediction, and failure mode analytics.

  • Scale GenAI and Agentic AI enabled quality workflows (e.g., intelligent QMS search, automated CAPA summarization, QA review assistance) while maintaining regulatory rigor and responsible AI guardrails.

  • Oversee development of earlywarning systems that detect, contextualize, and escalate quality risks using multivariate models and crossvaluechain data signals.

  • Champion responsible AI practices, ensuring models meet requirements for validation, transparency, explainability, and audit readiness.

  • Evolve practices across Enterprise Quality to incorporate AI/ ML model validation, continuous monitoring, and auditready AI governance frameworks.

  • Partners with Regulatory, Technology, and Legal to ensure digital innovation is aligned with emerging expectations for AI in regulated environments (FDA, EMA, global health authorities).

Operational Excellence

Either at an enterprise level, or through support at sector level:

  • Improve decision velocity by embedding AIenhanced insights into core quality operational processes, driving measurable improvements in cycle time, rightfirsttime, and risk reduction.

  • Establish KPIs and OKRs that measure the value of digital products, data platforms, and predictive capabilities,

Governance & Stakeholder Leadership

  • Serve as the enterprise leader for digital quality governance, ensuring alignment of data standards, AI/ML guardrails, and risksensing capabilities across segments and regions.

  • Colead crossfunctional working groups with Supply Chain, R&D, Manufacturing, and Technology to embed digital quality intelligence into endtoend operations.

People Leadership & Culture

  • Build a highperforming team of data scientists, digital product directors and managers, ML engineers, digital products owners, digital product analysts quality technologists, and analytics translators.

  • Foster a culture that embraces experimentation, iterative learning, and analytics-driven decisionmaking, while maintaining the highest standards of patient safety and compliance

Other Duties

  • Deep expertise in predictive analytics, machine learning, and AI/ML model lifecycle management in regulated environments.

  • Experience building automated risk detection systems, predictive quality models, and advanced statistical monitoring tools.

  • Demonstrated success modernizing Quality or Compliance functions through digital transformation, endtoend data strategies, and AIenabled workflows.

  • Strong understanding of pharma/medical device technology data governance, AI regulatory expectations, validation standards for ML systems, and GxPcompliant cloud technologies.

  • Proven ability to translate complex technical insights into businessready, riskfocused decisions for senior leaders.

Required Minimum Education: Bachelors Degree

Required Years of Related Experience:

  • 15+ years leading digital products and enterprise data/analytics in regulated industries.

Required Years of People Management Experience: 8-10 Years

Knowledge, Skills and Abilities:

  • Proven track record delivering digital strategies and measurable business value.

  • Experience managing enterprisescale data platforms (QUALIFI/ThoughtSpot or equivalent).

  • AI/ML and risksensing product delivery experience.

  • Strong governance, stakeholder engagement, and financial acumen.

  • Global people leadership. with a track record of people development.

Percentage Traveled: up to 40%

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

Business Alignment, Compliance Management, Consistency, Controls Compliance, Developing Others, Digital Assurance, Emerging Technologies, Fact-Based Decision Making, Inclusive Leadership, Leadership, Performance Measurement, Product Strategies, Quality Control (QC), Quality Standards, Quality Validation, Regulatory Compliance, Tactical Planning

The anticipated base pay range for this position is :

$199,000.00 - $366,850.00

Additional Description for Pay Transparency:

ubject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits