Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join Thermo Fisher Scientific and help transform Human Resources through innovative AI solutions. We are building a new AI capability within HR and are looking for a technically fluent, business-focused leader to drive strategy, requirements, and delivery. This role is ideal for someone who understands how AI systems work and can translate business needs into scalable AI solutions. You will partner closely with HR stakeholders and AI engineering teams to define use cases, manage delivery, and ensure successful adoption. In this role, you'll apply your expertise in data analysis, process optimization, and project management to deliver impactful results that support our mission of enabling customers to make the world healthier, cleaner, and safer. You'll partner with stakeholders at all levels to identify opportunities for improvement, develop comprehensive solutions, and ensure successful delivery of business-critical projects. What You’ll Do - Partner with HR leaders to identify and prioritize AI opportunities aligned to business goals. - Lead structured requirements gathering and translate business needs into clear product and technical specifications. - Define AI use case strategy, roadmaps, KPIs, and success metrics. - Work directly with AI engineers and data scientists to design and deliver AI solutions (e.g., AI agents, chatbots, workflow automation). - Own end-to-end project delivery, including planning, risk management, stakeholder communication, testing, deployment, and hypercare support. - Establish ways of working, governance, and intake processes for a newly forming AI team. - Drive adoption through documentation, training, and change management. REQUIREMENTS: - Bachelor's Degree required - At least 6 years of experience in business analysis or related role - Proven expertise in gathering and documenting business requirements - Strong technical understanding of AI/ML systems, including generative AI and LLM-based solutions. - Proven experience translating business requirements into technical solutions and working directly with engineering teams to deliver them. - Experience defining AI strategy and measurable business outcomes with senior stakeholders. - Comfortable operating in ambiguity and building processes within a new team. - HR domain experience strongly preferred.

Product Owner – Identity & Access Management (IAM) Location NJ/Remote We are seeking a Product Owner specializing in Identity & Access Management (IAM) to lead the delivery of authentication and access management capabilities across enterprise and digital platforms. This role will work closely with security architects, engineering teams, and risk stakeholders to implement secure identity solutions including multi-factor authentication, passwordless authentication, adaptive authentication, and secure session management. The Product Owner will be responsible for translating IAM strategy into actionable backlog items, managing delivery priorities, and ensuring successful implementation of modern identity platforms.   Key Responsibilities Product Ownership & Agile Delivery •           Own and manage the IAM product backlog including epics, features, and user stories. •           Translate security requirements and architecture designs into implementation-ready stories. •           Lead Agile ceremonies including sprint planning, backlog refinement, and release planning. •           Work closely with engineering teams to ensure secure and scalable IAM implementations.   Authentication & Access Management Delivery Lead implementation of IAM capabilities including: Authentication Controls •           Multi-Factor Authentication (MFA) •           Adaptive / Risk-Based Authentication •           Passwordless authentication (biometrics, passkeys, FIDO2) •           Device-based authentication Access Management •           Single Sign-On (SSO) •           Identity Federation (SAML, OAuth2, OpenID Connect) •           Role Based Access Control (RBAC) •           Attribute Based Access Control (ABAC) Session Security •           Secure session management •           Secure browsing capabilities •           Continuous authentication •           Device trust management   IAM Platform Implementation Support implementation and integration of enterprise IAM platforms such as: •           Okta •           Ping Identity •           ForgeRock •           Microsoft Entra ID (Azure AD) •           Auth0 •           CyberArk (Privileged Access Management) Responsibilities include: •           IAM platform configuration and capability rollout •           Application onboarding to SSO •           MFA policy implementation •           Identity federation with internal and third-party systems   Risk-Based Authentication & Security Integration Collaborate with security teams to implement risk-aware authentication models, including: •           Behavioral authentication signals •           Device fingerprinting •           Location and network-based risk signals •           Transaction-level authentication Ensure IAM controls align with enterprise security frameworks and Zero Trust principles.   Integration with Enterprise Platforms Coordinate IAM integrations across: •           Web and mobile applications •           API gateways •           Cloud platforms •           Enterprise applications (Salesforce, ServiceNow, internal systems)   Stakeholder Management Work closely with: •           Cybersecurity teams •           Security architecture •           Digital engineering teams •           Risk & compliance teams •           Application owners to ensure IAM solutions align with security policies and digital platform needs.   Technical Expertise Strong knowledge of: Authentication & Identity Protocols •           OAuth 2.0 •           OpenID Connect •           SAML •           FIDO2 / WebAuthn •           Passkeys IAM Capabilities •           Multi-Factor Authentication •           Passwordless authentication •           Adaptive authentication •           Single Sign-On •           Identity federation •           Access control models (RBAC / ABAC) Security Architecture •           Zero Trust •           Secure identity lifecycle •           Identity governance concepts   Platform Experience (Preferred) Hands-on implementation experience with: •           Okta •           Ping Identity •           ForgeRock •           Microsoft Entra ID •           Auth0   Preferred Industry Experience Experience working in regulated industries, such as: •           Financial Services •           Capital Markets •           Banking •           FinTech   Key Skills •           Strong Agile product ownership •           Ability to translate security requirements into engineering tasks •           Experience working with security architects and engineering teams •           Excellent stakeholder communication and prioritization   Success Metrics •           Successful rollout of MFA and passwordless authentication •           Number of applications onboarded to SSO and federation •           Reduction in authentication friction •           Compliance with enterprise security standards   Best Regards, Deepak Gulia Sr. Talent Acquisition-USA

• Develop and articulate a clear product vision and strategy for our end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from Conversational Data. • Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling. • Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. • Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products. • Define and track key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage. • Act as the primary interface between Analytics users (internal and external) and the Data Engineering teams, translating complex data requirements into clear, technical specifications.

Senior Product Manager 1 - Strategic Innovation Are you energized by building AI-first solutions that transform how thousands of colleagues’ work? Do you thrive on partnering with engineers to ship fast, learn faster, and turn complex workflows into measurable productivity gains? About the team, Elsevier is launching Embedded Innovation Squads to help teams across the organization benefit from GenAI and automation in practical, scalable, and well-supported ways. The program embeds small, dedicated, cross-functional teams directly within business functions to identify high-value productivity opportunities and deliver solutions that improve operational efficiency, decision quality, and speed. About the role, we are looking for a Strategic thinking Senior Product Manager to join an Innovation Squad and lead discovery, prioritization, and delivery of internal productivity solutions. Requirements - Possess current and extensive product management experience delivering software solutions in an agile environment, preferably with internal or operational focus - Hands-on fluency with generative AI tools and modern automation concepts with ability to stay current on technical and product advances relevant to workplace productivity - Experience building or managing AI-enabled workflow tools, process automation, and productivity systems, especially in enterprise environments - Demonstrated ability to lead workflow discovery, define productivity problems clearly, and convert operational ambiguity into prioritized roadmaps and shipped solutions - Extensive partnership skills with engineering teams and stakeholders, including comfort making pragmatic build/buy/partner tradeoffs - Experience defining operational metrics and using workflow data to drive product decisions and iteration cycles - Proven success delivering complex, cross-functional productivity initiatives that deliver measurable efficiency gains - Possess current and extensive discovery expertise. Skilled at framing problems, mapping workflows, quantifying impact, and validating solutions rapidly with stakeholders; comfortable balancing speed and rigor. - Ability to work effectively across matrixed organizations and engage productively with different levels of seniority Responsibilities - Partnering with internal teams to deeply understand workflows, bottlenecks, and operational pain points, then translate them into validated product opportunities with clear ROI potential - Creating and managing a prioritized roadmap of high-impact productivity use cases, balancing implementation speed, technical feasibility, organizational risk, and scalability across functions - Defining success metrics and reporting for each solution, including adoption rates, time savings, quality improvements, and employee satisfaction, using data to drive rapid iteration - Leading end-to-end product delivery in a fast-moving agile environment, partnering daily with engineers and operational stakeholders - Helping to define productivity-first product development by applying modern discovery methods, rapid prototyping, and evidence-based decision making - Scaling impact beyond your squad by documenting patterns, reusable components, and learnings, partnering with enterprise teams to make solutions discoverable and adoptable organization-wide - Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements. Primary Location Base Pay Range: Home based-New York $115,400 - $192,200. If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $118,349 - $189,051.U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. 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