Team Manager

QC Laboratory Manager

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Warehouse / Logistics Manager

Staff Simulation Engineer - CFD

Industrial Engineering & Operational Excellence Manager

Supervisor – Quality and Reliability Engineer

Business Intelligence Developer

Responsibilities: <ul><li>Executive business strategy set by the store manager to deliver business results and targets on clienteling and performance KPIs.</li><li>He/she is the role model and mentor for the team in how to boost and improve:</li><li>The delivery of a couture service, strategic zoning encouraging sales in partnership and OTO appointment routine.</li><li>A colleague centric mindset and a fluid client journey across categories.</li><li>Conversion rate, cross selling, AVT, upselling</li><li>Ensure the inclusion of digital tools and assets in the client journey and in the clientelling routine.</li><li>Ensure suitable product knowledge engaging all team members in training through morning briefs and products brief planning.</li><li>Has a key role in coaching team members to develop their skills in selling techniques and Clienteling, and support store manager in identifying appropriate career paths for every individual.</li><li>Perform effective and motivating Monthly touch bases.</li><li>Capable of being an agent of change with and impeccable colleague team player approach.</li></ul> Requirements: <ul><li>Has effective management and coaching skills, is able to follow up on results, identify, opportunities, motivate people to go beyond their comfort zone and go the extra-mile.</li><li>Communicate transparently and effectively.</li><li>Very good understanding of performance KPIs and ability to implement action plan to improve them.</li><li>Has excellent product and story telling knowledge.</li></ul>

Responsibilities: <ul><li>Establish and lead the QC laboratory, including analytical and microbiological functions, supporting sterile injectable IV bag production.</li><li>Oversee all testing activities: raw material, in-process, finished product, and stability testing, in compliance with applicable cGMP and regulatory requirements.</li><li>Support and manage startup, qualification, calibration, and maintenance of all QC lab equipment and systems to ensure operational readiness and regulatory compliance.</li><li>Develop and enforce strong data integrity practices, including procedures, training, and routine monitoring of laboratory systems and documentation.</li><li>Build and maintain a scientifically sound, compliant laboratory environment capable of supporting high-potent APIs and controlled substances.</li><li>Hire, train, and mentor laboratory personnel to ensure technical capability and compliance with laboratory and safety procedures.</li><li>Implement and maintain robust systems for documentation (SOPs, protocols, specifications), investigations (OOS, deviations), and CAPA management.</li><li>Lead and support analytical method transfers, validations, and technical investigations in collaboration with cross-functional teams.</li><li>Oversee microbiology operations, including environmental monitoring, utility sampling, sterility testing, and microbiological release activities.</li><li>Ensure inspection readiness and represent QC in audits, PAIs, and regulatory inspections.</li><li>Collaborate cross-functionally with QA, Validation, Engineering, Manufacturing, and Regulatory to ensure alignment and compliance across the site.</li><li>Ensure adherence to safety protocols, especially in handling high-potent materials and controlled substances.</li><li>Establish laboratory KPIs and drive continuous improvement in performance, compliance, and operational efficiency.</li></ul> Requrements: Qualifications / Experience: <ul><li>Bachelor’s or Master’s degree in Chemistry, Microbiology, or related scientific discipline.</li><li>8–12 years of pharmaceutical QC laboratory experience, including 3–5 years in a leadership role.</li><li>Experience with sterile injectable manufacturing, high-potent APIs, and controlled substances is required.</li><li>Deep knowledge of cGMP, FDA, ICH, USP, and applicable global regulatory standards.</li><li>Experience with startup or greenfield sites and laboratory buildouts preferred.</li><li>Demonstrated experience with method transfer, validation, and technical problem-solving.</li><li>Experience establishing equipment lifecycle programs, including qualification and maintenance.</li></ul> Skills / Competencies: <ul><li>Strong leadership with ability to build and develop high-performing lab teams.</li><li>Excellent technical knowledge in analytical and microbiological testing.</li><li>Deep understanding of data integrity principles and enforcement of best practices.</li><li>Proficiency in laboratory systems (LIMS, CDS, ELN) and equipment qualification.</li><li>Ability to manage complex lab operations in a startup environment.</li><li>Strong project management, documentation, and communication skills.</li><li>Commitment to patient safety, quality, and regulatory compliance.</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</li></ul>

Responsibilities: <ul><li>Liable for the overall warehouse, 3PL and logistics operations including receiving, warehousing/inventory control, pick-pack-ship, and distribution of raw material, components, supplies, and finished goods inventory.</li><li>Manages daily site logistics operations, processes, workflows, and escalation through proactive reporting and compliancy to governmental classification &amp; regulatory licensing requirements.&nbsp;</li><li>Accountable to monitor and approve site logistics spend involving freight payment.</li><li>Plan and organize daily or near-term workload to maximize productivity and on time delivery target while supporting the broader organization.</li><li>Collaborates and coordinates with inter-departmental to meet or exceed all KPIs, goals, and objectives.</li><li>Site focal point on escalations involving transportation, warehousing, brokerage operations, and packaging, and crating issue resolution.</li><li>You are responsible to ensure a safe working environment by keeping track of work areas, equipment and tools such as PPE are correctly used.</li><li>Oversee direct reports career growth and development by leading, developing and mentoring, as a contribution to support the development of a strong leadership team and warehouse operation.</li><li>Effective communication with all levels of leadership; internally and externally (customer &amp; vendors).</li><li>interaction with key stakeholders including production, planning, order fulfilment, materials management, and other supply chain teams.</li><li>Maintain inventory accuracy with appropriate materials transactions and effective communication schedules release data or all other logistics/materials requirement information to buyers, planners, manufacturing, and relevant teams.</li><li>Maintains a high standard of warehouse housekeeping/sanitation, supporting a lean work environment by promoting and delivers continuous improvement processes and programs.</li><li>Administers and accountable for government import &amp; export customs policies, tools, statistical&nbsp;</li></ul> Requirements: <ul><li>Demonstrated leading experience of a warehouse that includes successfully driving a site warehouse’s physical inventory, cycle counts and companywide stock take.</li><li>Experience in leading warehouse in supporting production e.g. like receiving, kitting, outgoing and material handling.</li><li>Experience in leading operational teams involved receiving, warehousing/inventory management, and distribution of materials, supplies, components, equipment, and finished goods.</li><li>Understand warehouse and material handling operational discipline principles and techniques involving warehouse layout, picking, inventory counting, variance resolution and discrepant receipt management.</li><li>Strong leadership and people management.</li><li>Knowledge in WMS, ERP, SAP and Microsoft office (especially excel).&nbsp;</li><li>Ability to manage individual contributors (internal and external) performing site logistics operations.</li><li>Fluent in English language and primary local language (written and verbal).</li><li>Proficiency in Mandarin is an added advantage.</li></ul>

Role Description: <ul><li>Executes complex simulations in CFD and Thermal to optimize design and manufacturing.</li><li>Develops complex Multiphysics simulation methods that meets design requirements in thermal management of Electronic Systems, especially in high-speed transceivers, connectors, and their assemblies.</li></ul> Responsibilities: <ul><li>Leading the development and implementation of complex Thermal simulation models to optimize manufacturing, designs or processes.</li><li>Perform calculation &amp; simulation on temperature distribution over system.</li><li>Conducted thermo-mechanical and structural simulations to support design optimization, material selection, and validation from concept to production.</li><li>Proficient in simplifying complex CAD geometries for efficient structural and thermal simulation analyses</li><li>In-depth knowledge of mechanical design, conductive, convective, &amp; radiation heat transfer, and fluid flow mechanics.</li><li>Collaborate with designer, manufacturing, and testing teams to correlate CFD &amp; Thermal Simulation results with physical testing</li><li>Experience with DOE (Design of Experiments) and optimization techniques.</li></ul> Requirements: <ul><li>BE/ B.Tech (Mechanical)</li><li>M Tech (Mechanical) (preferred)/ PHD</li><li>Knowledge of products, design processes and methodology.</li><li>Proficiency in state-of-the-art&nbsp;</li><li>Proficiency in use of MS Office tools.</li><li>Knowledge of associated manufacturing processes (molding, stamping, plating, crimping &amp; assy).</li><li>Knowledge about the Soldering, crimping &amp; welding technologies.</li><li>Knowledge on technical paper publications &amp; applying for patents.</li><li>8- 12 years of industry experience.</li><li>Expertise in Ansys Workbench.</li><li>Experience on connector products (Plastic and Sheet Metal parts).</li><li>Knowledge on material science (Metals, Resins &amp; hyper elastic material) and implement for simulation.</li><li>Correlation of Test and simulation data / results.</li><li>Expertise on CAE tools, Optimization techniques, and testing methods.</li><li>Implementing of LEAN / 6 Sigma / Kaizen techniques to live projects.</li></ul>

Responsibilities: <ul><li>Lead the Operational Excellence strategy through sponsorship and facilitation of Kaizen events.</li><li>Coach and mentor tool owners and team members on Operational Excellence practices.</li><li>Facilitate and deliver training on Lean and Continuous Improvement tools (e.g., 5S, TPM, Value Stream Mapping).</li><li>Identify, communicate, and implement improvement and cost-saving opportunities.</li><li>Monitor and report progress on Operational Excellence initiatives and performance metrics.</li><li>Manage systems for tracking productivity and savings, collaborating with cross-functional teams.</li><li>Support manufacturing lines with Capacity Analysis and the creation, training, and governance of operational standards.</li></ul> Supervision This position directly supervises: <ul><li>Continuous Improvement Analysts.</li><li>Manufacturing Technicians (Industrial Engineering roles).</li><li>Operational Excellence Interns.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Industrial Engineering or related field (required).</li><li>Lean Certification (required).</li><li>Master’s Degree in Engineering or Business (preferred).</li><li>Minimum 5 years of experience in Operational Excellence or related roles.</li><li>Bilingual (English/Spanish) preferred.</li><li>Skills and Competencies (Desirable).</li><li>Knowledge of Change Management (certification preferred).</li><li>Proficiency in Microsoft Office 365.</li><li>Advanced skills in Excel (Pivot Tables, Macros), PowerPoint, MS Project, AutoCAD, Minitab, and simulation software.</li><li>Basic knowledge of Power BI dashboards and Power Automate (or similar tools).</li><li>Strong understanding of problem-solving techniques, Lean Six Sigma, and process improvement methodologies.</li><li>Proven experience supervising and developing engineers.</li><li>Excellent communication, teamwork, and leadership skills.</li><li>Ability to work under pressure and influence stakeholders at all levels.</li></ul>

Responsibilities: <ul><li>Manage the day-to-day activities of the team in a safe environment and be responsible for Health and Safety goals.</li><li>Deliver on all KPIs that help the business achieve its objectives.</li><li>Lead and drive QA initiatives within the functional area.</li><li>Provide quality input and support to Manufacturing, Engineering, Prototype, and Commercial functions.</li><li>Lead, coordinate, and maintain risk assessment documentation (e.g., FMEAs).</li><li>Investigate the root cause of quality issues and implement timely and effective corrective actions to prevent recurrence for both customer and internal issues.</li><li>Strategically lead new product introduction (NPI) and contract reviews from a QA perspective.</li><li>Prepare and update Operations procedures and associated documentation.</li><li>Overall responsibility for functional area GMP standards and compliance, including promoting quality awareness.</li><li>Establish inspection standards, sampling plans, and test methods.</li><li>Report quality metrics to management.</li><li>Develop strong links with customer organizations and other project stakeholders.</li><li>Review validation documentation for the functional area.</li><li>Perform and support internal and external audits to ISO and FDA requirements.</li><li>Actively contribute to the continuous improvement of the Quality Management System.</li><li>Supervise and provide direction to quality personnel.</li><li>Perform other tasks as directed by the Operations Quality Manager in line with company goals.</li></ul> Requirements: <ul><li>Level 8 degree in Science, Engineering, or related field.</li><li>Minimum of 5 years industry experience in a medical device manufacturing environment.</li><li>People management experience.</li></ul> Key Requirements <ul><li>Clear understanding of medical device quality systems and requirements, including measurement techniques.</li><li>Experience managing and leading a team.</li><li>Strong CAPA experience.</li><li>Strong root cause analysis and problem-solving skills.</li><li>Knowledge of FDA and ISO Quality systems for medical device companies is desirable.</li><li>Experience in new product introduction (NPI) and manufacturing process transfers is desirable.</li><li>Demonstrated excellent organizational skills and ability to work independently.</li><li>Excellent written and verbal communication skills.</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</li></ul>

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48 wet chemistry techniques Jobs found

Team Manager

QC Laboratory Manager

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Warehouse / Logistics Manager

Staff Simulation Engineer - CFD

Industrial Engineering & Operational Excellence Manager

Supervisor – Quality and Reliability Engineer

Business Intelligence Developer

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Skills

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Jobtitle

48 wet chemistry techniques Jobs found

Team Manager

QC Laboratory Manager

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Warehouse / Logistics Manager

Staff Simulation Engineer - CFD

Industrial Engineering & Operational Excellence Manager

Supervisor – Quality and Reliability Engineer

Business Intelligence Developer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.