• Scale AI Across Marketing • Design and implement AI-driven workflows that improve campaign execution, content production, and operational efficiency • Turn one-off AI experiments into scalable, repeatable systems the team can run independently • Measure the impact of AI initiatives on pipeline and team productivity, and scale what works • Lead a structured crawl-walk-run adoption model that brings the full team along • AI workflows are embedded across the marketing team and tied to measurable efficiency gains • Partner with Revops to evolve tech stack, including Marketo, Salesforce, ON24, Cvent, Qualified, and Asana • Partner with RevOps to define and standardize lifecycle stages, attribution models, and shared success metrics • Ensure marketing’s contribution to pipeline is clearly measured and communicated • Handle marketing-specific system configuration, troubleshooting, and reporting • Stay current on platform capabilities to maximize value from existing tools

• Represent the voice of industry throughout curriculum design and course development activities • Provide expert guidance on current and emerging AI applications, technologies, and workplace practices • Review and validate curriculum content to ensure relevance, accuracy, and practical value • Advise on professional AI workflows, agentic AI, governance, responsible AI adoption, and organisational implementation approaches • Translate rapidly evolving industry developments into clear learning priorities and outcomes • Contribute expertise on how professionals can apply learning directly within their own work environments • Participate in collaborative curriculum planning sessions with academic and learning design stakeholders • Challenge and refine programme content to strengthen employability, workplace relevance, and professional impact • Build consensus across diverse stakeholder groups while advocating for practical industry needs • Support the credibility and industry positioning of the programme through professional expertise and networks

Senior Manager, Data Steward (AI) locations Remote (US) time type Full time job requisition id R34646 BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.   General Description:   As a Senior Manager, Data Steward, you will lead stewardship of critical Pharma R&D data domains, ensuring data quality, compliance, and usability across the research and development value chain. You will lead / mentor a team of data stewards and partner closely with governance, data product, and business domain leaders to operationalize data standards, resolve data issues, and deliver trusted, governed data products. This role is not only critical to oversee the implementation and management of MDM initiatives while ensuring accurate, consistent, and complete data across the organization for critical master domains (relevant to R&D), but also central to turning R&D data into a strategic asset, fueling AI/ML, enabling data-driven insights, and business outcomes.   Essential Functions of the job:   Data Stewardship Leadership - Lead the establishment and maintenance of a comprehensive data governance framework that aligns with organizational goals and regulatory requirements. - Lead / mentor a team of data stewards assigned to support multiple R&D domains - Define stewardship roles, workflows, and accountability to ensure clear ownership of data entities, business metadata, and processes. - Act as an escalation point for complex data issues, ensuring timely resolution and alignment with governance policies. Operational Data Stewardship & Standards - Operationalize data governance policies, standards, and SOPs in partnership with the governance team. - Define, maintain, and curate business metadata (e.g., data definitions, glossary terms, business rules, usage context) within data catalog. - Ensure consistency of business metadata across domains to avoid duplication, misinterpretation, or misalignment. - Monitor and enforce data quality, completeness, and accuracy across operational systems and data products. - Ensure data and metadata are managed in compliance with internal and external standards. Data Quality & Issue Management - Define and track domain-specific data quality metrics; coordinate remediation with data engineering and business partners. - Maintain metadata-driven data quality rules to ensure trusted data for downstream consumption. - Establish root-cause analysis and preventive action processes to reduce recurring data issues. - Drive continuous improvement of stewardship workflows through automation and AI/GenAI tools (e.g., automated metadata tagging, anomaly detection). Cross-Functional Collaboration - Serve as a liaison between R&D, IT, regulatory, and other business units to identify data needs and resolve data-related issues. - Serve as the key stewardship liaison for functional partners (Clinical Ops, Safety, Regulatory, Portfolio, Research). - Collaborate with data product teams to ensure domain data and business metadata are curated, contextualized, and analytics-ready. - Partner with governance and enablement leads to align stewardship with enterprise data architecture, data catalog, data quality and data marketplace capabilities. Enablement & Culture - Build training, guidance, and support materials to enable business users to understand and leverage governed data. - Drive awareness and adoption of stewardship and metadata practices through forums, knowledge-sharing, and communities of practice. - Champion a data-driven culture by highlighting the value of trusted data and contextual business metadata in enabling insights and compliance. Metrics & Value Realization - Track stewardship performance (e.g., data quality improvement, metadata coverage, issue resolution turnaround, compliance readiness). - Report stewardship value delivered such as time saved, reduction of manual rework, and risk avoidance enabled by data governance. - Provide transparent reporting to governance councils and leadership on stewardship, adoption, and impact. Supervisory Responsibilities:   - Mentor and develop a team of data stewards and analysts to foster progressive data governance practices and a culture of data stewardship. - Inspire and guide the team in achieving departmental goals and objectives, encouraging professional growth. Computer Skills: - Microsoft Applications (Outlook, Word, Excel, PowerPoint, Project) Qualifications:    - Bachelor’s degree in Life Sciences, Information Systems, Data Management, or related field; advanced degree preferred. - 7+ years of experience in data stewardship, governance, or data management, with strong exposure to Pharma R&D data. - Proven track record of defining governance frameworks and leading cross-functional teams while mastering critical master data domains relevant to R&D. - Proven ability to manage and mentor data stewardship teams. - Deep understanding of Pharma R&D data domains, regulatory requirements, and data standards. - Strong understanding of data management principles, practices, and hands-on experience with stewardship and metadata platforms (e.g., Informatica CDGC/CDQ for cataloging and business metadata, Collibra, Reltio (MDM), Databricks). - Strong problem-solving and stakeholder management skills with ability to balance scientific, operational, and compliance needs. - Excellent written and verbal communication skills; ability to present stewardship and metadata value to leadership. - Demonstrated commitment to building a culture of data trust, quality, and contextual understanding.   Education Required: Bachelor’s degree and 7+ years of experience or equivalent in a health-related field   Travel:  Minimal   Global Competencies When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world. - Fosters Teamwork - Provides and Solicits Honest and Actionable Feedback - Self-Awareness - Acts Inclusively - Demonstrates Initiative - Entrepreneurial Mindset - Continuous Learning - Embraces Change - Results-Oriented - Analytical Thinking/Data Analysis - Financial Excellence - Communicates with Clarity   Salary Range: $141,700.00 - $186,700.00 annually BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process.  Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

Role Description We are seeking an AI Red Teamer with deep cybersecurity expertise to help evaluate the security and resilience of advanced AI systems and applications. This role is ideal for someone who enjoys offensive security, creative problem-solving, and thinking like an adversary. - Design and execute red team assessments against AI systems, applications, and supporting infrastructure - Translate ambiguous objectives into structured testing plans and attack strategies - Develop adversarial testing methodologies to evaluate system security, robustness, and resilience - Craft prompts, attack chains, and adversarial inputs to uncover unintended or unsafe system behavior - Identify vulnerabilities, security risks, and failure modes through testing and analysis - Analyze system outputs and behaviors to assess security and safety risks - Document findings, communicate risk, and provide actionable recommendations - Collaborate with engineers, researchers, and subject-matter experts to improve system security - Continuously refine testing methodologies based on emerging threats and attacker techniques Qualifications - Degree in Computer Science, Engineering, Cyber Security, or a related field (or equivalent practical experience) - Strong understanding of cybersecurity principles, attack methodologies, and common vulnerability classes - Experience with security tools such as Splunk, Wireshark, Metasploit, Burp Suite, Nmap, or similar platforms - Comfortable working in Linux and terminal-based environments - Experience scripting or automating workflows using Python, Bash, or similar languages - Familiarity with SIEM platforms and security monitoring concepts - Ability to think creatively from an adversarial perspective and investigate complex technical problems - Excellent analytical and problem-solving skills - Excellent written and verbal communication skills Requirements - CompTIA Security+ certification and/or Google Cybersecurity Certificate - Experience testing AI, machine learning, or large language model applications - Familiarity with prompt injection, jailbreak techniques, or other AI attack methodologies - Offensive security certifications such as PNPT, OSCP, CySA+, GCIH, or GPEN - Experience supporting government, defense, intelligence, or critical infrastructure environments Benefits - Salary Range: $100K–$120K, depending on experience and location - Bonus: Performance-based annual bonus - Professional Development: Support for conferences, continuing education, or leadership training - Work Environment: Fully remote, U.S.-based - Health Benefits: Comprehensive health, dental, and vision coverage - Time Off: Generous PTO and paid holiday schedule - Retirement: 401(k) plan