Role Description Ready to create better business outcomes with your analytical acumen and creativity. Join TELUS Agriculture & Consumer Goods' Regulatory & Compliance Managed Services team. As part of our labels indexing team, you'll be at the forefront of ensuring our crop protection data is up to date and accurate. Our team specializes in understanding and capturing labels and safety data sheets (SDS) information into our database that powers the agriculture industry in North America. You'll work alongside experienced Technical Data Entry Indexers and Technical Data Entry Supervisors who are passionate about delivering exceptional results. Together, we're building the most comprehensive and powerful tool that allows agronomists to recommend compliant products within the myriad of regulatory requirements in North American agriculture. Your analytical expertise will have a direct impact into how agricultural products are viewed, recommended and used in the North American agricultural landscape. What you'll do: - Under the supervision of a Technical Data Entry Supervisor, understand, analyze, locate and enter appropriate data in the respective data fields with a high degree of accuracy. - Read source documents, such as pesticide/adjuvant/nutrient primary and supplemental labels and SDS (safety data sheets) and enter data in specific data fields on a database through a computer. - Compile, sort and verify the accuracy of data before it is entered. - Compare data with source documents. - Locate and correct data entry errors, or report them to the Technical Data Entry Supervisor. - Maintain logs of activities and completed work. - Participate in other agricultural data entry and verification projects if necessary. - Support continuous improvement initiatives, help in training new personnel upon experience. - Other duties as assigned. Qualifications - Bachelor's degree. - Read, write and comprehension of English language. - Proficient mathematical and analytical skills. - Computer literacy with knowledge of Microsoft Excel, Word (or Google equivalent programs) and Adobe Acrobat. - Detail and results orientated with high quality of work. - Ability to learn fast. - Good organizational and communication skills. - Good team player and at the same time ability to work independently. Requirements - Master's degree (great-to-haves). - Educational background in Agronomy, Biology, Chemistry, and/or a related field (great-to-haves). - Professional experience, preferably in a comparable position at an international organization (great-to-haves). - Knowledge of Spanish and/or French languages (great-to-haves). Benefits - Collectively, our talented team and integrated solutions uniquely position us to transform collaboration within the industry at a global level, empowering and connecting producers to consumers for a more efficient, sustainable future. - Everyone belongs at TELUS. It doesn't matter who you are, what you do or how you do it, at TELUS Agriculture & Consumer Goods, your unique contribution and talents will be valued and respected. - The more diverse perspectives we have the more likely we are to crack the code on what our customers want and our communities need.

Title: Data Engineering Specialist Location: Columbus, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here.   If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.  Anything is possible when you imagine everything.  Position Overview This is a US Remote position.  Hexion is a global leader in specialty chemicals, delivering innovative solutions that improve performance, sustainability, and operational excellence across industries. As part of Hexion’s digital transformation strategy, we are building a next-generation industrial edge-to-cloud platform that integrates operational technology (OT), industrial data, advanced analytics, AI, and digital twin technologies to drive manufacturing performance and create scalable customer-facing solutions.  We are seeking a Principal Manufacturing IOT & OT Security Architect to establish the security architecture and governance framework that enables industrial AI and analytics while protecting critical manufacturing operations.  The Principal Manufacturing IOT & OT Security Architect is responsible for defining and governing the secure integration of industrial control systems, edge computing, cloud platforms, digital twins, and AI-driven applications across Hexion’s manufacturing environments.  This role serves as the primary authority for industrial cybersecurity architecture and will ensure that all digital manufacturing initiatives align with:  - Purdue Enterprise Reference Architecture  - IEC 62443 Industrial Security Standards  - NIST Cybersecurity Framework  - NIST SP 800-82 Industrial Control Systems Guidance  - Corporate security policies and regulatory requirements  The successful candidate will establish secure patterns for moving operational data from manufacturing environments into cloud platforms while enabling advanced analytics, machine learning, digital twins, and future autonomous operations.  This role requires balancing security, operational reliability, and business innovation while maintaining the integrity and availability of critical manufacturing systems.  Job Responsibilities Industrial Security Architecture Leadership  - Define and govern enterprise-wide industrial security architecture standards  - Establish secure edge-to-cloud connectivity patterns  - Develop reference architectures for industrial AI, digital twins, and advanced analytics  - Define approved deployment patterns for manufacturing environments  - Serve as the primary architectural authority for OT cybersecurity initiatives  Purdue Model & Industrial Network Architecture  - Design and govern solutions across Purdue Levels 0 through 5  - Define segmentation and trust boundaries between:      - - Control Systems  - Manufacturing Operations  - Industrial DMZ  - Enterprise Networks  - Cloud Platforms    - Establish secure communication paths between operational and enterprise environments  - Develop strategies for secure remote access and vendor connectivity    Secure Industrial Data & AI Architecture  - Define approved architectures for:  - - Industrial data collection  - Historian integration  - Industrial IoT  - Edge analytics  - AI model deployment  - Digital twin environments  - Ensure operational data can be securely leveraged for:    - - Predictive maintenance  - Process optimization  - Reliability engineering  - Advanced analytics    - Establish governance for AI deployment within manufacturing environments  Competencies Edge Computing & Industrial IoT Security  - Define secure deployment patterns for:  - AWS IoT Greengrass  - IoT SiteWise  - IoT TwinMaker  - Edge gateways  - Industrial data brokers  - Establish device identity and certificate management standards  - Define secure software deployment and update mechanisms for edge environments  - Ensure secure operation during network interruptions and disconnected operations  Security Governance & Compliance  - Establish cybersecurity controls aligned with:  - IEC 62443  - NIST CSF  - NIST SP 800-82  - Corporate standards  - Conduct architectural security reviews for digital manufacturing initiatives  - Define risk assessment methodologies for industrial systems  - Partner with Corporate Cybersecurity teams to ensure alignment between IT and OT security programs  Platform & Product Security  - Define security architecture for multi-tenant industrial software platforms  - Establish customer data isolation requirements  - Define identity and access management strategies  - Establish customer-managed key and encryption architectures  - Define audit logging and compliance requirements for industrial SaaS solutions  Cross-Functional Leadership  Partner closely with:  - Principal Manufacturing & Semantic Architect  - Principal Industrial AI Data Architect  - Principal Edge & OT Architect  - Platform Engineering Teams  - Manufacturing Operations  - Reliability Engineering  - Corporate Cybersecurity  - External Customers and Partners  Minimum Qualifications - Bachelor’s degree in Engineering, Computer Science, Cybersecurity, Information Systems, or related discipline; Associate's Degree with experience in process manufacturing will be considered   - 7+ years of experience in:  -  Industrial Control Systems  - Operational Technology  - Industrial Cybersecurity  - Manufacturing Architecture  - Deep expertise in:  - Purdue Enterprise Reference Architecture  - Industrial Network Segmentation  - IEC 62443  - NIST Cybersecurity Framework  - NIST SP 800-82    - Experience with:  - PLCs  - DCS platforms  - SCADA systems  - Industrial Historians  - Manufacturing Execution Systems    - Experience designing secure architectures for:  - - Industrial IoT  - Edge Computing  - Cloud Integration  - Digital Manufacturing Platforms  Preferred Qualifications - Experience with:  - AWS IoT Greengrass  - Industrial Digital Twin platforms    - Familiarity with:  - ISA-95  - ISA-88  - CFIHOS - Industrial AI and Machine Learning deployments    - Relevant certifications such as:  - GICSP  - CISSP  - ISA/IEC 62443 Cybersecurity Expert  - AWS Security Specialty  Leadership Experience - - Operate as the enterprise authority for industrial security architecture  - Influence organizational strategy without direct authority  - Balance innovation and risk management  - Drive adoption of secure-by-design principles across all digital manufacturing initiatives  - Establish reusable security patterns that accelerate deployment while maintaining compliance  Success Measures  - Success in this role will be measured by:  - Adoption of standardized edge-to-cloud security patterns  - Compliance with industrial cybersecurity frameworks  - Reduction of cybersecurity risk across manufacturing environments  - Secure enablement of industrial AI and analytics initiatives  - Successful deployment of scalable digital manufacturing platforms  - Elimination of ad hoc OT-to-cloud integrations  Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age.  Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Job Description About Us: HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we've achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~5500 midsize and multinational companies. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies across the globe such as Monzo, Happy Socks, Fiverr, and VaynerMedia rely upon Bob to help them create the best work experiences for their people. Come and be you with us Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If that's bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, we're waiting with open arms. Come join us. We are seeking a Data Infrastructure Team Lead to join our Platform group. In this role, you will build and lead the team responsible for HiBob's data infrastructure foundation - the systems that power our product experiences, trusted analytics, AI capabilities, and enterprise-scale operations. Data infrastructure at HiBob is not just about moving data from one place to another. It is about building reliable, scalable, and secure infrastructure that helps product and engineering teams move faster, enables smarter customer-facing experiences, supports trusted business decisions, and creates the foundation for safe AI adoption across the company. This is a leadership role for someone who stays close to the technology: setting direction, guiding architecture, reviewing designs, contributing to critical decisions, and working with the team through complex production and scaling challenges. You will design and evolve scalable, reliable, secure, and AI-ready data systems, including orchestration, streaming, distributed storage, analytical infrastructure, metadata and governance capabilities, and permission-aware data access for sensitive HR data. About the Platform group: The Platform Group accelerates HiBob's productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and operate critical systems that allow our platform to scale reliably, securely, and efficiently. As part of this group, the Data Infrastructure team owns foundational capabilities that enable product teams, analytics teams, and AI-driven initiatives to use data safely and effectively. We focus on building reusable infrastructure, strong engineering practices, and scalable platforms that help the entire engineering organization move faster. As the Data Infra Team Lead, you will help shape the technical foundation for HiBob's next stage of growth, including enterprise-scale data systems, trusted analytics, and AI-ready infrastructure. Job Requirements - Proven experience designing, building, and operating large-scale data infrastructure in production environments. - Strong engineering fundamentals in databases, distributed systems, concurrency, storage, and reliability. - Strong knowledge of analytical engines, columnar databases, and data warehouse/lakehouse architectures. - Experience with data orchestration tools and distributed storage solutions. - Understanding of data security, privacy, governance, lineage, auditability, and access control. - Ability to make pragmatic architecture decisions, balance maitenance-vs-delivery tradeoffs, and optimize for scalability, reliability, simplicity, and cost. - Proven ability to lead a team, mentor engineers, communicate clearly, and work effectively with cross-functional stakeholders. - Experience building infrastructure for data pipelines, orchestration, streaming, analytical workloads, and large-scale data processing. - Experience with observability, monitoring, alerting, incident management, SLOs, and production operations for data systems. - Strong understanding of AI-ready data platforms, including metadata, semantic layers, retrieval patterns, data quality, governance, and permission-aware access to data. - Expertise with relational databases; PostgreSQL experience is a plus. - Hands-on experience with streaming systems such as Apache Kafka or equivalent technologies. Bonus Skills - Experience with cloud-based data infrastructure solutions, such as AWS or GCP. - Familiarity with Kubernetes. - Experience with modern lakehouse technologies, open table formats, metadata catalogs, or data governance platforms. - Experience supporting AI, ML, LLM, semantic search, or agentic product use cases on top of production data. - Experience building multi-tenant SaaS infrastructure, especially with sensitive or permission-heavy data. - Experience with cost optimization and FinOps practices for data platforms. - Experience creating internal developer platforms, self-service data tooling, or paved-road infrastructure for engineering teams. Job Responsibilities - Develop, mentor, and lead a high-performing Data Infrastructure team, combining people leadership with deep technical involvement in architecture, design, delivery, and production operations. - Own and evolve the data infrastructure foundation that powers HiBob's product experiences, trusted analytics, AI capabilities, and enterprise-scale operations. - Design, implement, and operate scalable, reliable, and secure data systems across orchestration, distributed storage, streaming infrastructure, analytical engines, metadata/catalog capabilities, and data serving layers. - Build reusable, AI-ready data platform capabilities that enable teams to safely work with trusted company data, including sensitive HR data, permission-aware access, data quality, lineage, auditability, and clear ownership models. - Partner with product, engineering, security, analytics, and AI-focused teams to turn business needs into pragmatic platform capabilities that improve product velocity, customer experience, enterprise readiness, and operational efficiency. Benefits HiBob is a village filled with amazing people and we're especially proud of that. It's a place where Bobbers can be themselves. We're about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you'll receive competitive Total Reward offer including: Financial & Equity Incentives Equity Plan: Participation in the Company Share Options Plan Social Contributions and Keren Hishtalmut Employee Referral Program: $2,500 for each successful hire Wolt Benefit (meal card): ₪1,000 per month Health, Wellness Private Health Insurance: Comprehensive premium medical coverage Sick Leave: Full payment from the first day of illness Wellness Benefits: Annual Headspace subscription and dedicated wellness programs Preventive Screening: Health screenings for employees aged 40+ Work-Life Balance & Leave ⚖️ Paid Time Off: Competitive paid time off policy HiBaby: 3 weeks of additional fully paid bounding time for new parents Bob Balance Days: 4 additional company-wide "long weekend" days (one per quarter) Social Impact: 2 paid days per year for volunteering and social contribution Work from Anywhere: Temporary remote work option for up to 2 months (available after 6 months of tenure). Birthday Day Off: Enjoy a day off during your birthday month Hybrid Work & Office Environment Hybrid Model: A flexible balance between office and home-based work Home Office Allowance: One-time stipend to ensure an ergonomic and productive home setup Transportation: Monthly travel allowance or parking arrangements Pet-Friendly: Dog-friendly office environment to support a stress-free workplace Culture & Growth Social Events: Regular team-building and company-wide events, both local and global Professional Growth: A culture built on precision, performance, and ambitious career scaling If this sounds like something you've been looking for, we'd love to have you. Come on, join our village

• Develop new ETL scripts using python to gather and validate data from a variety of sources e.g. APIs, web scraping. • Work with our data engineering team to deploy ETL scripts within our orchestrated data platform based on Dagster and BigQuery. • Help run, maintain, and improve existing data pipelines • Help ensure that our pipelines are written using best coding and data practices • Help ensure Ember’s data and output are of the highest standard