เงื่อนไขการค้นหา

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Industry trends, Architecture, Negotiation, Electronics, Data Entry

ประเภทงาน:

งานประจำ

• Embed with Operations: Partner closely with senior Operations leaders to deeply understand their workflows, pain points, and legacy systems.
• Translate Business to Tech: Convert high-level operational goals into detailed functional and technical requirements for Data professionals. Produce high-quality documentation and functional prototypes to translate vague business desires into actionable references.
• Opportunity Identification: Evaluate operational processes to identify high-value AI ...
• Feasibility Assessment: Analyze existing data infrastructure on the shop floor to determine if the velocity, variety, and volume of data can actually support an AI solution.
• Define AI Inputs/Outputs: Explicitly map out the data pipelines required for models - defining what IoT sensor data, historical logs, or image feeds are needed as inputs, and how the model's output should integrate back into operational systems.
• Solution Architecture: Grasp complex, integrated IT architectures and evaluate how these systems enable or constrain specific business processes in a high-velocity manufacturing environment.
• Proof of Concept (POC) Governance: Develop and manage prototypes and POCs to test and evaluate AI capabilities and their ability to drive tangible benefits in mfg ops. Apply clear decision criteria to determine whether to scale or exit a POC.
• Program Management & Execution Oversight.
• Portfolio Governance: Act as the primary point of oversight for all in-flight IT projects within the manufacturing and operations landscape.
• Data & AI Governance: Act as the primary point of oversight for data-driven projects, ensuring compliance with global IT standards and security controls.
• Escalation Management: Serve as the first point of escalation for project roadblocks, ensuring that risks to timeline, budget, or scope are mitigated including data gaps, infrastructure dependencies, and model deployment hurdles.
• Stakeholder Communication: Work closely with IT Project Managers to provide regular, transparent updates to business leaders on the status of the technology portfolio.
• Operational Readiness: Ensure organizational change management (OCM) is integrated into project delivery, including training plans, procedure updates, and communication.
• Strategic Stakeholder & Relationship Management.
• Executive Partnership: Develop and maintain strong relationships with senior leaders in Operations, Finance, and Supply Chain. Fosters a data-driven culture and advocates for the value of AI and analytics in manufacturing.
• Roadmap Alignment: Facilitate ongoing discussions to align the IT roadmap with the business's long-term growth plans, including site expansions and digital factory transformations. Assess and evolve the orgnization's data maturity, helping the business transition from reactive reporting to predictive and prescriptive analytics.
• Industry Trends: Proactively monitor and share innovations in Industrial AI, edge computing, and manufacturing data standards to keep Celestica at the forefront of digital factory transformation.
• IT Integration: Maintain a profile of all IT integration touchpoints (internal and external) between Celestica and its key customer accounts.
• Smart Factory / Automation: Partner with the internal Digital Factory team to deploy automation equipment and IoT solutions on the shop floor.
• Supply Chain & Warehouse: Oversee the integration of data from various relevant partners to support AI use cases.
• Knowledge/Skills/Competencies.
• Business Acumen: Deep understanding of electronics manufacturing, supply chain management, and regulatory environments (Aerospace & Defense, HealthTech).
• The "Translator" Skillset: Proven ability to take an ambiguous operational problem, break it down into data requirements, and communicate effectively with both a front-line factory supervisor and a Data Scientist.
• Technical Literacy: Solid understanding of the AI/ML lifecycle (data ingestion, training, deployment, monitoring). You don't need to code the algorithms, but you must understand how data pipelines, computer vision, and predictive modeling work structurally.
• Domain Expertise: Strong background in manufacturing operations, supply chain logistics, or industrial IoT (IIoT). Familiarity with systems like SAP, Manufacturing Execution Systems (MES), and SCADA is highly preferred.
• Financial Literacy: Understanding of manufacturing finance, including ROI calculation, Capital Expenditure (CapEx) vs. Operating Expenditure (OpEx) planning, and the ability to defend the financial merits of a technology investment.
• Strategic Communication & Executive Presence: Exceptional verbal and written communication skills tailored for senior leadership. Ability to distill complex technical risks into business-impact language. Must demonstrate high emotional intelligence (EQ) to manage sensitive stakeholder relationships and the authority to lead high-pressure escalation meetings to a decisive resolution. Identify foundational capabilities the business needs to include in their Annual Operating Plan (AOP) to support long-term AI scaling.
• Conflict Resolution & Negotiation: Proven ability to navigate competing priorities, influencing stakeholders toward a unified strategic direction without direct hierarchical authority.
• Physical Demands.
• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
• Typical Experience.
• Experience: 7+ years of experience in Systems Analysis, Technical Product Management, or IT Business Partnering, with at least 2-3 years dedicated to delivering AI/ML or advanced analytics solutions.
• Typical.
• Education.
• Bachelor's Degree or consideration of an equivalent combination of education and experience in one of the following: Information Technology, Business Administration, Commerce, Engineering.
• Educational requirements may vary by geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Recruitment, Salesforce, Cloud Computing, English, Thai

ประเภทงาน:

งานประจำ

• About the Role.
• The Client Services Lead acts as the central point of coordination between the customer, the Sales team, and the Delivery/Service team. This role owns the customer relationship post-sale - ensuring contract terms are tracked and fulfilled, customer satisfaction stays high, renewal opportunities are protected, and any risk signals (delivery gaps, dissatisfaction, scope changes) are surfaced to Sales early enough to act on. This is not a technical delivery role; it's a relationship and coordination ro ...
• Customer-facing Serve as the customer's primary point of contact for contract and service-related matters (excluding day-to-day technical delivery issues, which route to the Delivery team) Build and maintain strong relationships with key customer stakeholders to understand their evolving needs and priorities Proactively check in with customers to gauge satisfaction, address concerns, and reinforce the value being delivered Manage contract lifecycle events - renewals, amendments, scope changes, expirations - ensuring the customer experiences no service gaps Sales-facing Alert the Sales team early to renewal risk, expansion opportunities, or dissatisfaction signals so they can engage the customer proactively Provide Sales with account context (usage patterns, satisfaction trends, open issues) to support upsell/cross-sell and renewal conversations Support contract renewal discussions jointly with Sales, acting as the relationship continuity between initial sale and ongoing service Delivery-facing Act as the customer's advocate within Delivery, communicating customer priorities, concerns, and feedback to the service/delivery team Track SLA adherence and service commitments against the contract, flagging gaps before they become customer-facing issues Coordinate with Delivery on service reviews, issue resolution timelines, and status updates the customer needs Contract & Reporting Maintain accurate records of contract terms, renewal dates, and key account milestones Prepare periodic account health reports/dashboards for internal stakeholders (Sales, Delivery, Management) Monitor renewal pipeline and flag at-risk accounts with lead time sufficient for intervention.
• Bachelor's degree in Business Administration, Marketing, IT, or related field 3-5+ years of experience in client services, account management, customer success, or a similar customer-facing coordination role - IT/technology services industry preferred Strong communication and stakeholder management skills; comfortable being the "translator" between commercial, delivery, and customer language Experience with contract lifecycle management (renewals, SLAs, scope tracking) Proven ability to work cross-functionally with Sales and Delivery/Operations teams Good command of English (written and spoken); Thai fluency required for local customer engagement Familiarity with CRM/ticketing tools (Salesforce, ServiceNow, or similar) is a plus Workplace type: About NTT DATA NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL

ประเภทงาน:

งานประจำ

• Pipeline Development: Design, build, and maintain reliable ETL/ELT pipelines that deliver accurate, complete data from source systems to the data warehouse within agreed timelines.
• Data Modeling: Develop and maintain data models and schemas that are logical, well-organized, and easy for the business to consume.
• Operational Excellence: Keep the platform running: monitor pipeline health, troubleshoot failures fast, and uphold uptime and data availability SLAs.
• Scalability & Efficiency: Build for scale and cost: design solutions that handle growing data volumes without performance degradation, and continuously optimize storage and processing costs.
• Govern and Protect the Data.
• Metadata Management: Maintain data dictionaries and metadata so users across the business can find and understand the information they need.
• Quality Assurance: Implement automated data quality checks (accuracy, completeness, validity) into the pipelines you build, catching issues before they reach decision-makers.
• Compliance: Follow and help enforce the governance framework that protects sensitive company and customer data - supporting our standing target of zero data security incidents and full compliance with PDPA and financial-sector regulations.
• Partner with the Business.
• Requirement Gathering: Sit down with business users to understand their problems and gather requirements - then translate those needs into datasets, pipelines, and data products that actually solve them.
• Proactive Communication: Clarify ambiguous requests, explain trade-offs, and keep stakeholders informed of what's coming and when.
• Data Platform Uptime and Data Availability SLA.
• Data Quality Score across critical datasets.
• Cost Per Terabyte Managed.
• Count of data security incidents (Target: Zero).
• The Ideal Candidate: A Builder Who Owns the Whole ProblemWe are seeking an engineer who doesn't stop at "the pipeline ran." The ideal candidate takes ownership from the business conversation all the way to the delivered dataset: technically strong enough to build robust, scalable pipelines, disciplined enough to document and govern what they build, and communicative enough to work directly with non-technical stakeholders without a translator in between.
• Required Experience & Qualifications.
• Professional Experience: 0-5 years of experience in data engineering, ETL development, or a closely related field. Highly motivated new graduates are strongly encouraged to apply, provided you can demonstrate technical execution through intensive internships, capstone projects, or a robust personal portfolio. Experience in financial services or another regulated industry is a strong advantage.
• Educational Background: A Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Statistics, or a related field.
• Core Technical Skills: Exceptional SQL abilities and solid programming skills (Python preferred). You must have hands-on experience - whether professionally or through rigorous academic/personal projects - building and operating ETL/ELT pipelines and working with data warehouses.
• Valuable Additions: Exposure to cloud data platforms, workflow orchestration tools (e.g., Airflow, Dagster), automated data quality tooling, or data catalog/metadata management.
• Regulatory Awareness: A working knowledge of the Personal Data Protection Act (PDPA) and familiarity with financial-sector regulatory requirements is a plus.
• Essential Qualities & Skills.
• A Builder's Mindset: You are passionate about creating and improving - cleaner pipelines, better models, smarter automation.
• End-to-End Ownership: You chase issues to their root cause and fix them so they stay fixed.
• Analytical Skills: The ability to untangle complex data issues and design solutions that hold up under growth.
• Business Curiosity: You want to know why the business needs the data, not just what columns to deliver.
• Communication: The ability to talk requirements with business users in their language and design with engineers in theirs.
• Meticulous & Disciplined: You document what you build, test what you ship, and treat data quality and security standards as non-negotiable.
• Additional.
• This role is based full-time at our Headquarters in Greater Bangkok - Pak Kret.
• Commitment to Excellence: We need hard workers. We believe that building anything great requires a level of focus and dedication that is incompatible with a conventional "work-life balance." We explicitly reject this mindset because it does not lead to extraordinary outcomes. This is a role for those who are passionate about building something great and are willing to dedicate the long hours required to build a data platform the entire company can trust.
• Compensation and Benefits.
• Your actual level and base salary will be determined on a case-by-case basis and may vary based on job-related knowledge, skills, and experience.
• The base salary is just one part of your total rewards package. You will also receive access to comprehensive benefits, paid leave, and other company perks, which will be discussed during the interview process.
• Equal Opportunity Employer: Our company is an Equal Opportunity Employer; employment is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, religion, gender, disability status, age, sexual orientation, gender identity, or any other legally protected status.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ISO 14001, ISO 9001, English

ประเภทงาน:

งานประจำ

• Has delegated authority for the control and performance of on-site audit activities, including any planning and review as described in Audit Preparation and Audit Realisation.
• Might perform audits on their own so long as they have the competence to perform the duties of an audit team leader applicable for that audit. Such competence shall be endorsed by the Local Technical Manager. Lead Auditor A lead auditor must be a qualified auditor in the respective scope.
• Chair opening and closing meetings.
• Assign to each team member responsibility for auditing specific processes, functions, sites, areas or activities and reassign work as needed.
• Manage external team representation during the audit process (expert, translator, Accreditation Bodies, ).
• Periodically communicate the progress of the audit and any concerns to the client and to the audit team.
• Review with the client any need for changes to the audit scope which becomes apparent as on-site auditing activities progress and report this to the back office.
• Attempt to resolve any diverging opinions between the audit team and the client concerning audit evidence or findings, and record unresolved points.
• Review the audit findings, and any other appropriate information obtained during the audit, against the audit objectives and audit criteria and classify the nonconformities.
• Agree upon the audit conclusions, considering the uncertainty inherent in the audit process, any necessary followup actions.
• Confirm the appropriateness of the audit programme or identify any modification required for future audits (e.g., scope of certification, audit time or dates, surveillance frequency, audit team competence).
• Ensure that the audit report is prepared and shall be responsible for its content.
• Recommends to the Technical Manager initial certification, maintaining of certification, recertification, suspension, withdrawal, or reduction of the scope of certification.
• Bachelor's degree or higher in Environmental or Safety/Occupation Health or Sciences/Engineering/Technology or any related discipline. Experience: Four years full-time practical workplace experience in preferably in Environmental Health & Safety, Manufacturing, Science, or Engineering discipline. At least 2 years experience in consulting/auditing, implementation for management system standards are preferable. Possessing ISO 14001, ISO 45001, ISO 9001 Lead Auditor Course or related standards for the position will be a plus. Able to prioritize client requests, plan, and adjust to different client audit requirements. Able to adapt communications to the situation. Strong planning, organizational, and time management skills. Self discipline, able to work independently and to coordinate several activities simultaneously Able to interact with all levels of management, suppliers and clients Good at observing, analyzing, and reporting. Good command of spoken and written in English with computer literacy. Possessing own car Join an inclusive, flexible and diverse company where you can thrive while contributing to positively transforming the world, we live in.