Business Intelligence Analyst

Sr. Application Developer

Document Controller

Project Manufacturing Leader

Manager – Operations

Manager II – Manufacturing & Process Development Engineering

AVP, IAM Program Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Responsibilities: <ul><li>Design, develop, and maintain dashboards and reports using Power BI and or Tableau</li><li>Connect to data sources including data warehouses (for example Redshift), ERP systems, and structured datasets</li><li>Prepare and transform data using Power Query, Tableau Prep, or similar tools</li><li>Build and maintain data models and calculations within BI tools to support scalable reporting</li><li>Translate business requirements into clear and effective visualizations and reports</li><li>Analyze data to identify trends, performance gaps, and opportunities for improvement</li><li>Ensure data accuracy by validating outputs against source systems and established definitions</li><li>Support user acceptance testing and incorporate feedback into reporting solutions</li><li>Maintain and enhance existing dashboards to improve usability and performance</li><li>Document key metrics, business logic, and report structures</li><li>Collaborate with cross-functional teams including business stakeholders and technical partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Industrial engineering, Information Technology, Data Analytics, or related field</li><li>3 to 5 years of experience in Business Intelligence, Data Analytics, or Reporting roles</li><li>Experience developing dashboards using Power BI or Tableau</li><li>Experience working with enterprise data sources such as ERP systems or data warehouses</li><li>Experience supporting business or operational analytics, with supply chain exposure considered an advantage</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

Role Description : <ul><li>This role supports project teams by controlling documentation for EPC projects—identifying, uploading and distributing engineering deliverables and maintaining electronic and hardcopy repositories with accurate indexing, revision control, metadata and access permissions.</li><li>It operates EDMS (SharePoint, ProjectWise), manages the change control lifecycle (issue/revise/approve/distribute/archive) and reviews documents for completeness and contractual/QMS compliance.</li><li>The role maintains traceability, transmittals and audit trails, prepares reports, supports technical reviews and handovers, follows up on pending reviews, and safeguards data integrity and confidentiality.</li><li>Control all documentation activities: identify, upload and distribute engineering deliverables.</li></ul> Responsibilities: <ul><li>Maintain electronic and hardcopy repositories with accurate indexing, revision control and retrieval.</li><li>Operate and administer EDMS (SharePoint, ProjectWise, etc.): uploads, metadata, permissions and folder structures.</li><li>Review drawings, specifications, change orders, submittals and vendor documents for completeness, format and contractual/QMS compliance; resolve discrepancies.</li><li>Manage the change control lifecycle: issue, revise, approve, distribute, archive and retire controlled copies.</li><li>Ensure documents are correctly dated, versioned and authorized prior to release.</li><li>Maintain traceability registers, revision histories, distribution lists, transmittals and audit trails.</li><li>Prepare transmittals, distribution notices, status updates and ad?hoc project reports.</li><li>Support technical reviews, coordination meetings and project closeout / handover documentation packs.</li><li>Proactively follow up on pending actions, approvals and overdue reviews.</li><li>Develop and maintain document procedures, metadata standards and templates; identify and implement improvements.</li><li>Provide day to day support for document access, retrieval, formatting/numbering and stakeholder queries, while maintaining access controls, data integrity and compliance with internal/ISO/contractual requirements.</li></ul> Requirements: <ul><li>Bachelor’s degree (any discipline) or equivalent.</li><li>2 to 6 years’ relevant document control experience, preferably in construction, engineering, manufacturing, oil &amp; gas or EPC project environments.</li><li>Experience supporting project QMS and contractual/client requirements is preferred.</li><li>Software Proficiency: Strong with MS Office (Word, Excel).</li><li>Experience with document management systems/EDMS such as Microsoft SharePoint, Bentley ProjectWise, DocuWare, or similar document control software. Familiarity with PDF tools and CAD/PDF handling.</li></ul>

Role Description: <ul><li>The Project Manufacturing Leader is a Project Core Team Member, in charge of the industrialization of all client production lines involved in a project Value Stream, across several client plant locations when applicable.</li><li>The PML is responsible for achieving key targets in terms of Industrial Timing, Capacity, Quality and Production Costs in line with the Planisware Work packages and deliverables on time completion (or Project LeanPD milestones) requirements. His/Her role is to define and implement the best Production System and line Concepts while ensuring that all client Global Auto industrial strategy and standards are followed.</li><li>PML involvement with a new project starts at RFQ, between G0 and G1 and lasts until SOP + 3 months.</li><li>The PML reports directly to the regional ME organization, to the PML Manager/Director and functionally to the Project Manager.</li></ul> Responsibilities : Design for Manufacturing : <ul><li>The PML participates in the Product Design activities led by the Product Design Engineering Team, contributing towards reaching a product design compliant with client Industrial Targets and allowing maximum Production Profitability.</li><li>He/She leads Technology and comparative studies in case of multiple options and ensures that Process Feasibility is optimal and validated by experts.</li></ul> Footprint and Make or Buy Studies: <ul><li>With the support of his management and considering inputs from the project team, the PML conducts a preliminary footprint analysis, including Make or Buy comparative Studies.</li><li>The PML submits the proposal to the Regional/Global Industrial Strategy team for final decision.</li></ul> Production System Definition: <ul><li>(Plant: Production System, Physical lay-out) In the early program Development phase, the PML organizes, leads and follows-up the Lean Industrial Design workshop activity, involving all Project and Plant Team functions, under coordination of the ME or Launch Director.</li><li>Based on the initial industrial assumptions, he/she builds the initial Plant internal Material &amp; Information Flow Diagram (MIFD)/VSM, Line lay-out, Plant lay-out with Production System and Logistics areas footprint calculations.</li><li>Before Program CER/Capex Committee Meeting, he/she leads the Tool and machine Design Workshop, out of which plant delivers the detailed</li><li>Production Line layout and Advanced VSM. Confirm the proposed Production System including traceability and conformity.</li><li>PML leads the assessment of any equipment refurbishment needs for the project relying on the appropriate internal or external experts and validate the effective equipment refurbishment timing and cost with vendors.</li><li>Job Description The PML identifies any Industrial risk, defines a back-up plan for critical processes and provides Industrial Impact on any Engineering Change Request.</li></ul> Process FMEA: <ul><li>PML participates in the definition of Key Product Characteristics (KPC) and Key Control Characteristics (KCC) He/She coordinates and leads the PFMEA methodology during program phase with active participation of Process Experts, including PLTL or Process Engineer.</li><li>Once the initial PFMEA is completed, ensure that actions are implemented with all updates included prior to handover to the Plant at Mass Production Trial (MPT).</li></ul> CER Committee: <ul><li>(Product Manager initially presenting because of Commercial discussion then Project discussion) PML ensures Capacity analyses are completed prior to adding new equipment to the project.</li><li>He/She optimizes Project Investment through Reuse, Bundling, Massification etc. He/She builds and monitors the detailed Project Investment List.</li><li>He/She prepares and leads the Project CER/Capex industrial Presentation, submitting CER request and approval follow-up after Project and Plant Managers have validated the investments.</li><li>Once CER is presented, he/she ensures timely CER submission/validation and follow-up in line with the industrial timing.</li></ul> Industrial Timing: <ul><li>PML builds, updates &amp; monitors the complete Project Industrial timing plan for tools, equipment, Packaging, traceability and associated processes to meet all internal (MPT) and external Customer milestones on time and right first time, from specification to final acceptance.</li><li>He coordinates Project Product Engineers and Supply Chain Engineers within the Project Team and track Plants readiness status in collaboration with the Plant PLTL.</li><li>The PML coordinates Traceability Implementation, Machine and tooling acceptance, tracking improvement actions with a robust PDCA where needed. Responsible to organize Tooling &amp; Equipment progress status reviews involving the plant PLTL.</li></ul> Industrial Performance <ul><li>PML defines and tracks main Industrial Performance indicators: - MMR and Work Content - Scrap Process rate - Process Capabilities - Capacity Status and Process Cycle Time, including Equipment Utilization Monitoring (data from plant) - Rework monitoring - Material Yield - Launch Costs consolidated in the Business Plan - Project Investment PML ensures that the most suited technical solutions for Project Financial KPI improvement are investigated through standard, automation, digitalization with payback analysis.</li></ul> PAC reviews: <ul><li>Reporting PML reports progress status on Manufacturing Work Packages and related program milestones. All PMLs participate in the PML -or regional ME Department weekly routine.</li></ul> Requirements: <ul><li>Masters degree in engineering, or equivalent professional experience.</li><li>Minimum 5 years of proven experience in production or industrial area preferably in automotive sector.</li><li>Strong ability to work in an international and multicultural environment with complex matrix organization. Team building and positive mindset.</li><li>Leadership with ability to interact and coordinate complex subjects with technical teams. Proactive with a vision of long-term impact and problem anticipation.</li><li>Knowledge in project management process, Quality Control tools in production, Lean Line Design.</li><li>Result oriented with strong written, verbal communication skills. Fluent English required.&nbsp;</li></ul>

Role Description: <ul><li>The above position has been created to lead a team of Mechanical Designers, Electrical Automation Engineers in the Operations team to define the process and build them with Maintenance and Facility responsibility of the Plant</li></ul> Responsibilities: <ul><li>Responsible for achieving the Safety, Quality, Cost and Delivery parameters of all the Value Streams with the help of respective Value Stream Leader.</li><li>Responsible to achieve the TPM(Total Productive Maintenance) KPI of Maintenance sections (Machines and Testers).</li><li>Ensure implementation and effective usage of all the relevant Lean Tools (Our client Tools) in the Value Streams and Maintenance.&nbsp;</li><li>Ensure the accuracy of the WIP Stock with continued reduction as per Lean principles.</li><li>YOY Productivity improvement for the Operations through Cost Saving Projects, Efficiency improvement, Operational Material Savings.</li><li>Should be able to scale up the teams competencies to meet the requirements of the new product and processes.</li><li>Should be able to demonstrate Mental and Change agility to deal with technology shift as required for New product introduction.</li></ul> Requirements:&nbsp; <ul><li>B.E, Diploma (Mechanical, Production) </li><li>Master’s in business administration would be an added advantage&nbsp;</li><li>12-15 years total experience, with hands on experience in the Manufacturing department of a Mass production unit (Automotive, EMS</li><li>At least 4-5 years experience of leading the operations function in Molding/Headers/Connectors manufacturing.</li></ul>

Responsibilities: Lead a team of engineers who will: <ul><li>Develop power connector assembly manufacturing process in accordance with LEANPD product development.</li><li>Drive for excellence in existing manufacturing technologies and methods.</li><li>Strive to implement new manufacturing technologies to provide improved process and tolerance control.</li><li>Support Product Development in the optimization designs (DFM) and piece parts for manufacturability; realizes sample tooling, product samples, and prototypes.</li><li>Design, develop, and qualify tooling and processes to meet company DDN quality and production standards.</li><li>Support the supply chain to verify supplier compliance and capability.</li><li>Act as the binding element between product development and manufacturing engineering, ensuring the effectiveness and efficiency of this critical interface.</li><li>Maintain communication with the project management team to understand current and future strategic business needs</li><li>Prioritize and time manage a portfolio of projects/work efforts based on criticality and business need</li><li>Provide readouts to Senior manager and Director-level cross-functional management as necessary</li><li>Work with the Philippines operations team to assign resources necessary for the successful execution of new product development</li><li>Facilitate and coordinate cross-functional communication across globally matrixed organizations</li></ul> Requirements: <ul><li>Bachelors or above degree with mechanical/electrical related majors.</li><li>At least 5 years of managerial-level experience related to a multinational manufacturing site.</li><li>Familiar with Lean, Six Sigma. etc. industrial methods/tools.</li><li>With 2 years or above work experience in the connector assembly industry is preferred.</li><li>Fluent in English and good presentation skills.</li><li>Familiar with MS software.</li><li>Familiar with industrial specification (i.e., IPC 620).</li><li>Familiar with Stamping / Plating / Molding / Assembly processes</li></ul>

Responsibilities: <ul><li>Support critical IAM programs; coordinate cross-functionally with IAM teams, Information Security teams and business IT stakeholders to manage the successful delivery of IAM projects</li><li>Deliver on suitable short-term and long-term strategic objectives</li><li>Drive and deliver program issues/risks and resolution, decision logs, communication plans and other program documentation to ensure project goals are achieved and audit traceability is in place</li><li>Engage regularly with key stakeholders on issues/risk and decisions and gather feedback on implementation of solutions impacting the organization</li><li>Establish and support program metrics and evaluation methods to assess program strengths and identify areas for improvement as well as timely reporting of program status throughout its life cycle</li><li>Prepare and present reports for program sponsors and leadership</li></ul> Requirements: <ul><li>Bachelor’s degree or equivalent experience; technology or equivalent related field preferred, with a minimum of 6 years of experience in Information Technology OR in lieu of the Bachelors degree, a minimum of 8 years of experience in Information Technology</li><li>Minimum of 5 years of experience managing large scale, cross functional project</li><li>Minimum of 5 years of experience in information technology, with a focus on information security in one or more of the following areas: IAM, security operations, security architecture, policy/governance</li><li>Minimum of 4 years of experience supporting auditors, audit inquiries and ad-hoc reporting</li><li>Solid management skills</li><li>Experience with metrics for assessing and reporting program progress, productivity and variance analysis</li><li>Strong problem solving skills</li><li>Strong oral and written communication (presentation) skills</li><li>Program Management Certified (PMP) preferred</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

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218 programming tools Jobs found

Business Intelligence Analyst

Sr. Application Developer

Document Controller

Project Manufacturing Leader

Manager – Operations

Manager II – Manufacturing & Process Development Engineering

AVP, IAM Program Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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218 programming tools Jobs found

Business Intelligence Analyst

Sr. Application Developer

Document Controller

Project Manufacturing Leader

Manager – Operations

Manager II – Manufacturing & Process Development Engineering

AVP, IAM Program Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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

EMPLOYER

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