Assistant Manager, HRBP

Senior Business Intelligence Analyst

Senior Manager, HRBP - GL4

Quality Control Supervisor

Responsibilities: Talent Acquisition &amp; Onboarding: <ul><li>Coordinate end-to-end technician hiring logistics, including assessment day scheduling, candidate communication, medical checks, and offer documentation.</li><li>Execute onboarding activities for new technicians by preparing onboarding packs, coordinating induction schedules, and tracking completion of documentation (EPF, SOCSO, tax forms, uniform issuance).</li><li>Maintain and update TA trackers and dashboards, including time-to-fill, offer acceptance rates, and onboarding completion.</li><li>Support salaried recruitment coordination as needed, including interview scheduling, candidate communication, and documentation.</li></ul> Communication &amp; Engagement: <ul><li>Execute plant-wide communication and engagement activities, including town halls, floor walks, and recognition programs (certificates, gifts, and communications).</li><li>Support employee engagement survey administration by distributing surveys, tracking participation rates, consolidating feedback, and supporting action-planning sessions.</li><li>Maintain engagement trackers and ensure timely follow-up on action items.</li></ul> Employee Lifecycle Management: <ul><li>Manage HR administration across the full employee lifecycle, including new hire documentation, probation tracking, contract renewals, transfers, promotions, and exit documentation.</li><li>Coordinate employee exit processes, including clearance forms, exit interviews, and final settlement coordination with HR Operations.</li><li>Maintain accurate employee records and ensure HRIS data integrity, including updates in SuccessFactors.</li></ul> People Analytics &amp; Reporting: <ul><li>Maintain core HR dashboards covering attrition, time-to-fill, onboarding completion, and probation status.</li><li>Prepare weekly and monthly HR review decks for leadership.</li><li>Support ad hoc HR data requests and analysis.</li></ul> General HR: <ul><li>Respond to employee queries related to HR policies, benefits, leave balances, and HR processes.</li><li>Maintain HR notice boards and plant HR communication materials, ensuring information accessibility and accuracy.</li><li>Support HR audits (ERSA and internal compliance checks) by preparing required documentation and tracking closure of audit findings.</li></ul> Requirements: <ul><li>4–6 years of HR experience, preferably in manufacturing, FMCG, or large-scale frontline environments.</li><li>Strong foundation in HR operations, talent acquisition coordination, onboarding, and employee lifecycle management.</li><li>Hands-on experience with HRIS systems such as SAP, SuccessFactors, or similar platforms.</li><li>Strong data management and reporting capabilities.</li><li>Proficiency in Microsoft Excel (pivot tables, VLOOKUP, dashboards) and Microsoft PowerPoint.</li><li>High attention to detail with strong organizational and multitasking skills.</li><li>Ability to operate effectively in a fast-paced, high-volume environment with shifting priorities.</li><li>Process-oriented mindset with a focus on continuous improvement and simplification.</li><li>Diploma or Bachelor’s degree in Human Resource Management, Business Administration, or a related discipline.</li></ul>

Role Description: <ul><li>The Continuous Improvement EMIA team reports to Operations Automotive EMIA.</li><li>By providing new generation digital solutions to our Operational teams across EMIA, our team creates full transparency and speed in the ongoing digital &amp; lean transformation(s), which will enable all involved functions to leverage data to develop business insights and roadmap updates based upon clearly arranged and understandable data. Due to the extended scope, focusing also on the connecting processes from Supplier(s) to Manufacturing ending at the Customer(s) (internal and external) we will function as ‘the’ differentiator for our Company.</li><li>The Data Scientist Automotive EMIA will report to the Smart Factory Leader Automotive EMIA.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Lead projects and work together with our Automotive EMIA Operations plants, internal (IT, , Corporate Technology, CoE, SC, ..) and external partners in the area of Smart Factory (Applications, ML, AI, DL), aligned with Operations Automotive EMIA Strategy.</li><li>Lead Smart Factory improvement projects (Enhancements) of existing applications together with internal / external supplier and customers (project management) until the level of RTD (Ready To Deploy)</li><li>·Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems.</li><li>Identify and interpret data sources, manage large amounts of data, merge data sources together, ensure consistency of datasets, create visualizations to aid in understanding data.</li><li>Develop, Validate and Deploy (including Training and Coaching of the users) until the level of RTD (Ready To Deploy), Digital Factory Applications, ML models, contributing to waste elimination and efficiency improvements within all Operations functions (Manufacturing, Quality, SC, LOG, ….), this together with our internal and external partners.</li></ul>&nbsp;Requirements: Desired candidate &amp; Qualification <ul><li>Good understanding of a technology driven manufacturing company.</li><li>Knowledge of the core manufacturing technologies: Stamping, Plating, Assembly, Molding.</li><li>Experienced with data visualization tools like PowerBi, Tableau, ThingWorx,..</li><li>Good applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Development experience in programming languages R, Python.</li><li>Knowledge, experience in JAVA scripting</li><li>Excellent pattern recognition and predictive modelling skills.</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, neural networks and deep learning etc.</li><li>Experience in technologies like, Jupyter Notebooks, Numpy, Pandas, Seaborn, Scikit-learn, PyTorch and TensorFlow.</li><li>Exposure to recent developments in Deep Learning, Gen AI, Agentic AI domain.</li><li>Database skills, on-premises and cloud based.</li><li>Experience in AWS is an advantage, functional knowledge of AWS platforms such as Sagemaker, S3, and RedShift.</li><li>Excellent presentation skills in both spoken en written English.</li><li>&nbsp;Excellent and strong communicator</li><li>The ability to translate, explain and bring, complex data science topics to an easy understandable level, speeding up acceptance level in general.</li><li>Bachelor or master’s in data science</li><li>Team player with a solution focused problem-solving mentality.</li><li>Change agent with high Execution level, including training and coaching talents.</li><li>Passioned about the combination of Technology, Data, Analytics and Statistics with link to Quality, Product and Process Engineering</li><li>Inspired by and searching actively for new technologies and methods.</li></ul>

Responsibilities: <ul><li>Workforce planning &amp; budgeting – Build and track the headcount plan for ~500 employees, including shift mix, overtime guardrails, and vacancy risks. Own people cost budgeting, forecast vs. actuals, and variance actions.</li><li>Talent acquisition &amp; onboarding (technicians) – Lead end-to-end technician hiring: hiring events, assessment days, medical checks, and onboarding. Support central teams with salaried hiring at local level.</li><li>Comms &amp; engagement – Design and lead the annual plant comms plan (townhalls, floor walks, recognition). Run pulse surveys, translate results into actions, and track closure to drive engagement. Focus on embedding EDI in frontline technician engagement.</li><li>HR partnering (Ops) – Work closely with Operations leader, line managers and frontline leaders to embed HR programs into daily and monthly rhythms. Coach mid-level leaders and ensure people priorities are visible in plant reviews.</li><li>Org design &amp; lifecycle – Support the business with structure design based on plant needs, enable feeder moves and cross-rotations, and manage employee lifecycle from hire to exit., including career transitions.</li><li>Performance &amp; talent (with L&amp;D/Talent) – Ensure goal-setting hygiene, calibrations, and IDPs are embedded across Ops. Partner with L&amp;D to progress the skill matrix, strengthen frontline leader capability, and build succession for critical roles.</li><li>People analytics &amp; reviews – Maintain dashboards on attrition, absenteeism, overtime, time-to-fill, onboarding, and engagement. Lead weekly/monthly reviews, apply root-cause analysis, and track impact of actions.</li><li>Collaboration with ER/IR – Partner with ER/IR to ensure discipline, compliance, and smooth union relations, escalating patterns/issues as needed.</li></ul> Requirements: <ul><li>8–12 years of HR experience in manufacturing or large-scale frontline environments.</li><li>Strong background in manpower planning, technician hiring, onboarding, and engagement.</li><li>Hands-on style with presence on the shop floor and comfort working in a unionized environment.</li><li>Analytical mindset; ability to translate data into actionable insights.</li><li>Resilience, pace, and ability to balance strategic and operational demands.</li></ul>

Role Description: <ul><li>A concise overview of the job The Supervisor, Quality Control is responsible for overseeing the day-to-day operations of the QC raw material testing group.</li><li>Supervision and enforcing cGMP’s, GLP’s, conducting investigations, method transfers, verifications of compendia methods and training of new employees.</li><li>All incumbents are responsible for following applicable Division &amp; Company policies and procedures.</li><li>Scope of Authority - span of control (work unit, site, department, division, etc.), monetary value of budget/spend authority (capital, operating, etc.), P&amp;L responsibility, etc.</li><li>Supervisory responsibilities within a single site.</li></ul> Responsibilities: <ul><li>QC Lab Management- Supervise day-to-day operations of QC Laboratory to ensure that cGMP’s, GLP’s and all other applicable compendial requirements are met.</li><li>Ensure that the testing is done as per the approved monograph procedures, investigate and take corrective actions, document investigation findings and coordinate the approval process of investigations.</li><li>Interact with Planning, Purchasing, Supply Chain, Production, QA for timely release of raw materials, excipient and packaging components.</li><li>Coordinate Analytical Methods Transfer projects. Identify and implement procedures to reduce cost of goods.</li><li>Develop systems and processes for proactive management of laboratory logistics and instrumentation.</li><li>Oversee ordering of lab supplies in observance of Departmental Budget constraints.</li><li>Workload Management- Coordinate workload sharing with other groups in QC and develop action plans to improve the working environment and for maximization of laboratory efficiency.</li><li>Prepare monthly report of the issues, work done, any employee related issues and conduct bi-weekly audits of the analyst’s notebooks.</li><li>SOPs - Review/update SOP’s, procedures and monographs for the QC Group as needed.</li><li>Review and comment on the articles affecting QC in the USP Supplements and Pharmacopeial Forums.</li><li>Conduct periodic audits of the analyst notebooks and instrument logbooks to ensure compliance of cGMP’s.</li><li>Staff Development-Evaluate potential candidates for QC; performance evaluation of direct reports.</li><li>Provide training in all procedures/instrumentation/techniques, including but not limited to HPLC, UV-Vis, IR, and Raw Material, Finished Product, Stability testing. 15% Total	100% Qualifications&nbsp;</li></ul> Requirements: Education &amp; Experience <ul><li>Minimal acceptable level of education, work experience and certifications required for the job</li><li>BS in chemistry or related discipline with 10+ years’ experience in pharmaceutical testing OR MS in Chemistry or related discipline with 7+ years’ experience in pharmaceutical testing.</li><li>3+ years’ QC lab supervisory experience in pharmaceutical industry.</li><li>Demonstrated management and leadership experience with strong interpersonal and influencing skills.</li></ul> Knowledge&nbsp; <ul><li>Proficiency in a body of information required for the job e.g. knowledge of FDA regulations, GMP/GLP/GCP, Lean Manufacturing, Six-Sigma, etc.</li><li>Expert knowledge of applicable safety and standards guidelines, such as SOP, cGMP, GLP, DEA regulations and/or SDS.</li><li>Strong knowledge and proficiency required with laboratory techniques/instruments, such as HPLC, GC, analytical balance, pipette, burette, oven, UV-vis spectrophotometer, dissolution tester, pH meter, etc.</li><li>Strong knowledge and proficiency preferred with Empower, Track Wise and Labware LIMS.</li></ul> Skills &amp; Abilities	 <ul><li>Often referred to as “competencies”, leadership attributes, skills, abilities or behaviors that may be enterprise, functional or job specific e.g. coaching, negotiation, calibration, technical writing etc.</li><li>Organizational Support- Follows policies and procedures; completes administrative tasks correctly and on time; supports organizations goals and values; benefits organization through outside activities; supports affirmative action and respects diversity.</li><li>Leadership - Exhibits confidence in self and others; inspires and motivates others to perform well; effectively influences actions and opinions of others; accepts feedback from others; gives appropriate recognition to others.</li><li>Supervising People- Includes staff in planning, decision-making, facilitating and process improvement; takes responsibility for subordinates activities; is available to staff; provides regular performance feedback; develops subordinates skills and encourages growth; solicits and applies customer feedback (internal and external); fosters quality focus in others; improves processes, products and services.; continually works to improve supervisory skills.</li><li>Quality - Demonstrates accuracy and thoroughness; looks for ways to improve and promote quality; applies feedback to improve performance; monitors own work to ensure quality.</li><li>Demonstrated flexibility in carrying out varied assignments in a high-quality work environment.</li><li>Excellent written and oral communications skills with a strong emphasis on organizational capabilities.</li></ul> Physical Requirements	 <ul><li>Physical &amp; mental requirements e.g. lift 40 pounds, walk across plant/warehouse, business travel (% of time), driving as part of work responsibilities, etc.</li><li>Employee is frequently required to use hands to handle or feel.</li><li>The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and color vision.</li><li>The noise level in the work environment is usually moderate.</li><li>The work environment is representative of a group laboratory environment.</li><li>QC Lab Management, Workload Management, SOPs, Staff Development</li></ul>

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Assistant Manager, HRBP

Senior Business Intelligence Analyst

Senior Manager, HRBP - GL4

Quality Control Supervisor

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Assistant Manager, HRBP

Senior Business Intelligence Analyst

Senior Manager, HRBP - GL4

Quality Control Supervisor

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