Preventive Maintenance Manager

Learning Specialist: Commercial, Logistics and Ports & Terminals

AI/ ML Engineer

Finance Analyst, Rotational Program

Senior Manager Data Science

Senior Data Scientist II

Senior Data Scientist

Agile Delivery Manager

Digital Transformation Executive

Senior Product Manager, Consumer Growth

Responsibilities: <ul><li>Lead the team of 3 Storekeepers, 1 PM executive, and 2 PM technicians for end-to-end preventive maintenance and technical store operation.&nbsp;</li><li>Conducts all the preparation, planning, execution, and closure of the preventive maintenance tasks in SAP and keeps a good track record and compliance.</li><li>Accountable for purchasing, inventory management, stock count, inventory compliance, and conducting stock item analysis (most usage, highest value, slow-moving, obsolete, etc)</li><li>Accountable for all the KPIs for world-class PM &amp; MRO management as outlined in RM COE Phase 1 -3.&nbsp;</li><li>Drive engineering department weekly meetings by organizing, preparing templates for data inputs, KPI review, conducting data analysis, and delivering plant USDT and reliability.&nbsp;</li><li>Constantly conducts data analysis on preventive maintenance plans and spare parts usage to deliver preventive maintenance optimization for cost-effective maintenance.</li><li>Lead root cause analysis and problem-solving capability increase in engineering.</li><li>Lead KWS RM COE and own MROS element as part of the technical store operation.</li><li>Drive implementation of KWS for RM COE among engineering, technical, and operations teams with regular engagement, preparation, and training.</li><li>Develop good relationships with other regional factories and strive for cross-learning and implementation of best practices for plant performance and KWS.</li><li>Owns engineering R&amp;M cost budgeting and end-to-end management and monitoring. Conducts effective cost reduction initiatives in line with ZLA &amp; KIMMS projects.&nbsp;&nbsp;</li><li>Leads ongoing cross-functional teams to conduct analyses of plant savings opportunities, identify CAPEX investment opportunities, and make strategic investments to support growth and machine reliability.</li><li>Responsible for Site Daily Meeting Cadence with Tier 1-4 meetings and ensure they are healthy for results sustainability.</li><li>Lead people management for all direct reports and his/her -1 &amp; -2. Manage their performance, KPI delivery/formulation, and capability building effectively.</li><li>To guard standards and regulations on EHS, QFS, and other fundamentals by participating in and coaching during Leader Led Observations, Safety 7, Golden 6, and other EHS and QFS activities.&nbsp;</li><li>Lead, and involvement in all internal and external audits. (QFS, KWS, EHS, DOSH, FSSC, HACCP, HALAL, and Global programs on FUS)</li></ul> Requirements: <ul><li>Degree in Chemical/Mechanical/Electrical Engineering or related discipline with &gt; 10 years of working experience.</li><li>Sound practical knowledge of mechanical engineering (rotating equipment, fasteners, bearings, gearbox, valves, thermodynamics, material strength &amp; compatibility, etc.)</li><li>Practical knowledge of process equipment working mechanism and working principle (fryer, mixing, grinding, canister filling, packing machines, conveyors, etc.)</li><li>Sound work experience in F&amp;B industries with experience in SAP technical store management in support of entire plant operation.</li><li>Sound experience in managing preventive maintenance end-to-end processes to drive the highest level of compliance and machine reliability.&nbsp;</li><li>Technical and hands-on experience in the following systems:&nbsp;</li><li>Profound experience in food manufacturing process flow and in-depth experience in machine mechanisms and concepts. (dry mixing, dumping, wet mixing, conveying system, frying, seasoning, filling and packing)</li><li>Numerical literacy of basic electrical engineering (motor power, electrical load, cable sizing) and process engineering (basic mathematics related to the physics of pressure, temperature, level, force, etc.)</li><li>Preferably with some process literacy in building maintenance, HVAC, compressed air supply, utility gas supply, potable and wastewater treatment</li><li>Exposed and have hands-on experience with pillar approached performance management (KWS), CI tools, analysis tools, sound problem-solving skills, and coaching skills.</li><li>Good leadership skills and capable of managing 24/7 plans with critical thinking and strong people management skill.&nbsp;</li><li>Six Sigma Green Belt will be added advantage.</li></ul>

The RoleThe primary purpose of this role is to lead the development and delivery of high-quality, outcome-based training programmes tailored for the Commercial, Logistics and Ports &amp; Terminals teams within the Sub-Saharan Africa (SSA) region. This job involves extensive research, design, development, customization, and delivery of training content to enhance the capabilities and performance of the teams. This job will require at least 60% travel across SSA sites.&nbsp; Key ResponsibilitiesResearch and Analysis: Conduct thorough needs analysis to identify training requirements specific to the Commercial and Logistics teams. Stay abreast of industry trends and best practices to ensure training content is relevant and effective.•	Identify business needs for Commercial, Logistics and Ports &amp; Terminals across the SSA and Develop and implement Commercial, Logistics and Ports &amp; terminals programmes according to identified needs.•	Formulate a project plan for each programme which includes milestones, budgets and marketing plans to deliver on programme objectives•	Engage with business and P&amp;C Business Partners to monitor the progress of the programme plans, including risk mitigation and contingency measures where requiredProgramme Design and Development: Design and develop comprehensive training programmes, incorporating innovative methodologies and technologies to enhance learning outcomes. Customize content to meet the unique needs of the SSA region.&nbsp;•	Develop and/or maintain all learning &amp; development governance policies, processes and procedures related to Commercial, Logistics and Ports &amp; Terminals.•	Build, manage and maintain relationships with external service providers that deliver selected services etc.•	Work closely with the Commercial, Logistics and Ports &amp; Terminals team to align training plans for the year&nbsp;•	Contribute to the setting of training budgets for Commercial, Logistics and Ports &amp; terminals Programmes, minimize expenditure and manage costs and assets effectively•	Work closely with stakeholders, including team leaders, subject matter experts, and external vendors, to ensure training programmes align with organizational goals and objectives.&nbsp;Implementation and Delivery: Deliver training sessions using various formats, including in-person workshops, virtual classrooms, and e-learning platforms. Ensure training delivery is engaging, interactive, and impactful.&nbsp;•	Liaise with the Learning &amp; Development Governance and Operations team to ensure the effective coordination and delivery of learning initiatives.Learning Administration, Governance &amp; Compliance:•	Ensure all administration and record-keeping activities are completed timeously and in accordance with relevant policies &amp; procedures•	Ensure compliance with Skills Development, legislative and client-specific criteria and regulations•	Manage and ensure timeous and accurate reporting on learning and development activities and solutions•	Prepare and submit required financial reportsEvaluation and Improvement: Continuously assess the effectiveness of training programmes through feedback, assessments, and performance metrics. Make necessary adjustments to improve training quality and effectiveness.:&nbsp;•	Identify and drive costs, systems, and process efficiencies for the Commercial, Logistics and Ports &amp; Terminals Training programmes•	Implement continuous improvement KPIs /metrics for Training programmes Minimum RequirementsQUALIFICATIONS:Bachelor’s degree in Business Management, Supply Chain or Sales&nbsp; EXPERIENCE:	5 to 8 years relevant experience in Learning &amp; Development&nbsp;	Must have at least 3 years Sales/Commercial training facilitation experience&nbsp;SKILLS:	Analytical Skills – Ability to analyse complex financial data, identify trends, and draw meaningful conclusions. Strong attention to detail and problem-solving skills.	Business Acumen – Understanding of business operations, industry dynamics, and key drivers of financial performance.&nbsp;	Adaptability– Ability to work in a fast-paced environment, manage multiple priorities, and meet deadlines. Flexibility to adapt to changing business needs and priorities.	Communication skills – Ability to explain complex technical concepts clearly and engagingly.	Problem solving – Ability to identify the source of an issue and find effective solutions.&nbsp;	Detail oriented – You pay strong attention to the details as it is one of your core qualities.&nbsp;As far as you are concerned, anything worth doing is worth doing right, every single time.&nbsp;You stay focussed and nothing falls through the cracks on your watch.&nbsp;&nbsp;	Autonomy – Ability to think independently, exercise personal judgment and take initiatives.	Results orientation – Focuses on desired results and sets and achieves challenging goals. KNOWLEDGE:&nbsp;•	Legislation and Regulations related to learning and development in different markets (e.g SETA framework and requirements for South Africa)•	Administrative processes and procedures, related to learning and development.&nbsp;•	Learning management systems and multiple training platforms. COMMUNICATIONSInternal:•	Commercial and Logistics Teams: The primary recipients of the training programmes, their needs and feedback are crucial for shaping and improving the training content.•	People &amp; Culture (P&amp;C) Business Partners: Collaborate closely with these partners to align training initiatives with broader organizational goals and ensure effective implementation.•	Line Managers/Mentors: Work with managers and mentors to identify training needs, coordinate capacity-building activities, and monitor the progress of the training programmes.•	Learning &amp; Development Governance and Operations Team: Liaise with this team to ensure the effective coordination and delivery of learning initiatives, as well as compliance with governance policies.•	Finance Team: Engage with the finance team to set training budgets, manage expenditures, and prepare financial reports.•	Senior Leadership: Provide updates and insights to senior leadership on the progress and impact of training programmes to ensure alignment with the organizations strategic objectives.External:•	External Service Providers: Collaborate with vendors and service providers who deliver specialized training services or resources to enhance the training programmes.•	Industry Experts and Consultants: Engage with industry experts and consultants to gain insights into best practices, industry trends, and innovative training methodologies.•	Regulatory Bodies: Ensure compliance with relevant skills development and legislative requirements by liaising with regulatory bodies and adhering to their guidelines.•	Clients and Partners: In cases where client-specific training is required, work with external clients and partners to develop and deliver tailored training solutions.•	Professional Associations: Connect with professional associations to stay updated on industry standards, obtain certifications, and participate in relevant training and development initiatives.

Responsibilities: <ul><li>Responsible for ensuring that ML models and pipelines are deployed successfully into production</li><li>Implementation of ML features for new and existing systems</li><li>Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services</li><li>Automate model training, testing and deployment using CI/CD</li><li>Understand and implement metrics to verify effectiveness and soundness of the ML model</li></ul> Requirements: <ul><li>Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics)</li><li>5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis</li><li>Experience with Python and related ML libraries (eg. Pandas, Pytorch)</li><li>Experience with database languages (e.g. SQL)</li><li>Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts</li><li>Experience in Agile working environment</li></ul> Preferred requirements: <ul><li>Experience with AWS cloud services like AWS Textract and Comprehend is preferred</li><li>Experience with Dagster/Airflow is preferred</li><li>Experience in MLOps</li><li>Experience in delivering Natural language processing (NLP) products</li></ul>

Role Description: <ul><li>As a Finance Analyst in our 9-month rotational program, youll rotate through various finance disciplines to get a well-rounded understanding of key functions.</li><li>These areas can include Financial Planning &amp; Analysis (FP&amp;A), Accounting, Cost Controlling, and Operations Finance.</li><li>The ideal candidate for this role is a recent college graduate (graduation on or after May 2024) with a strong academic background in finance, economics, or a related field. Critical thinking, analytical skills, and a knack for numbers are essential as youll be responsible for data interpretation, financial modeling, and providing strategic recommendations based on your findings.</li><li>This is the first time this program is being offered. Candidates will have the opportunity to be part of a small cohort of finance analysts and have the opportunity for a full-time, permanent job offer at the end of the program.</li><li>Our expectation is that candidates will learn about the company and what role they would like to have before entering full-time to eventually grow into a leadership role. This role offers a unique opportunity to kickstart your career in finance, gain broad experience, and develop a solid foundation in financial management.</li></ul> Responsibilities: <ul><li>Participate in a structured rotational program across various finance functions including financial planning &amp; analysis, accounting, operations finance, cost controlling, and specialized finance roles</li><li>Learn key finance processes in a rapidly growing business</li><li>Build your skillset with the opportunity to match with a permanent, full-time finance role</li><li>Think strategically to develop meaningful ideas that deliver competitive advantage</li><li>Participate in training sessions throughout the program to deepen your core skills</li><li>Rotate approximately every three months to a new function and location, gaining hands-on experience and developing essential skills</li><li>Participate in performance reviews for each rotation and give feedback about the program</li><li>Work closely with assigned mentors throughout the program</li></ul>&nbsp;Requirements: <ul><li>Seniors graduating between May 2024 and June 2025 with a Bachelor’s Degree in finance, accounting, economics, business management or related field</li><li>Strong analytical and problem-solving skills, with the ability to identify and resolve issues&nbsp;</li><li>Demonstrated commitment and passion for a career in Finance</li><li>Excellent communication and interpersonal skills, with the ability to work effectively across stakeholders&nbsp;</li><li>Intellectual curiosity and a keen interest in learning</li><li>Ability to work in a fast-paced environment and adapt to changing priorities&nbsp;</li><li>Ability to maintain confidentiality and handle sensitive information&nbsp;</li><li>Ability to be based in Stamford, CT, Richmond, VA and Owensboro, KY for nine months and in various office locations full-time</li><li>Proficiency in Microsoft Office; Intermediate Excel required</li><li>Exposure to SAP, DynFO, or other ERP systems are a bonus&nbsp;</li></ul> What We Offer:&nbsp; <ul><li>We offer a competitive benefits package for our program, designed to support your professional growth and well-being.</li><li>Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.&nbsp;</li><li>Be part of an inclusive, diverse culture where everyone’s contribution is respected; Collaborate with some of the world’s best people and feel like you belong.&nbsp;</li><li>Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.&nbsp;</li><li>Take pride in delivering our promise to society: To improve the lives of a billion smokers.</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><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><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: Team Leadership:&nbsp; <ul><li>Guide a team of Agile Leads, fostering professional growth and a positive work environment.</li></ul> Agile Expertise:&nbsp; <ul><li>Develop and refine processes and methodologies for product and project delivery, ensuring quality and efficiency.</li></ul> Collaboration:&nbsp; <ul><li>Facilitate cross-domain communication to promote innovation and knowledge sharing.</li></ul> Performance Analysis:&nbsp; <ul><li>Analyze KPIs and performance metrics to identify trends for continuous improvement.</li></ul> Project Support:&nbsp; <ul><li>Assist in defining and executing small projects, ensuring effective governance and stakeholder communication.</li></ul> Risk Management:&nbsp; <ul><li>Proactively identify and manage risks, ensuring timely escalation and intervention.</li></ul> Continuous Improvement:&nbsp; <ul><li>Foster a culture of ongoing learning and refinement in processes and practices.</li></ul> Conflict Resolution: <ul><li>Address and resolve conflicts, ensuring a focus on delivering business outcomes.</li></ul> Requirements: <ul><li>Strong understanding of Agile methodologies and frameworks.</li><li>Proven experience in leading organizational transformation and change management.</li><li>Proficient in Continuous Improvement strategies.</li><li>Knowledge of Governance &amp; Assurance principles.</li><li>Data-driven problem solver with strong analytical skills.</li><li>Ability to create and communicate clear goals aligned with business strategy.</li><li>Experience in talent recruitment, development, and retention.</li></ul>

Responsibilities: <ul><li>Support in identify areas for improvement in factory operations and production processes.</li><li>Research and evaluate appropriate smart factory solutions to address identified areas for improvement.</li><li>Support the deployment of the smart factory roadmap and strategy aligned with business objectives.</li><li>Support the implementation of selected smart factory solutions, including project management, system design, and deployment for QA App, DDS and AM&nbsp;</li><li>Manage vendor relationships to ensure effective delivery of smart factory solutions and ongoing support.</li><li>Ensure smart factory solutions are properly integrated with existing systems and processes.</li><li>Develop and maintain documentation and training materials for smart factory solutions.</li><li>Provide technical support and training to users of smart factory solutions.</li><li>Stay up to date with industry trends and advancements in smart factory technology.</li><li>Communicate regularly with senior management and other stakeholders on the progress and impact of smart factory initiatives.</li><li>Responsible for executing projects related to improvement, innovation, formula changes, and capital projects in their line.</li><li>Active participation in the COE of CI/PO to understand variations and OEE trends of their line</li><li>Supports smart factory improvement projects oriented to generate savings and increase productivity to directly impact the OEE and comply with the plant savings pipeline</li><li>Ensures compliance with the KWS methodology through digitization as well as participating in the assigned COE</li><li>Enables learning among their collaborators during the training sessions.</li><li>Generates monthly executive performance reports by platforms Applications.&nbsp;</li></ul> ﻿Requirements: <ul><li>Degree in Mechanical Engineering, Electrical Engineering, Computer Science, or related field&nbsp;</li><li>Language: English, advanced level</li><li>Knowledge: Results-oriented, analytical, and creative thinking. Working by objective and proactive</li><li>Fresh graduate or at least 1years of experience in smart factory technology or related field.</li><li>Strong project management skills, including experience in smart factory implementations.</li><li>Demonstrated ability to evaluate and select appropriate smart factory solutions for specific business needs.</li><li>Excellent communication and interpersonal skills, with the ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li><li>Knowledge of manufacturing processes and equipment.</li><li>Familiarity with relevant industry standards and regulations.</li><li>Ability to work independently and as part of a team.</li><li>Flexibility to adapt to changing business needs and priorities</li></ul>

Role Description: What you need to know about the role: <ul><li>We are seeking a Senior Product Manager, Consumer Growth, to lead strategic initiatives that drive user acquisition, onboarding, activation and retention. In this role.</li><li>You will own the end-to-end consumer journey from signup to early engagement, focusing on optimizing conversion funnels, personalizing experiences, and leveraging data-driven insights to accelerate growth.</li><li>You will work cross-functionally with engineering, design, data science and marketing teams to enhance the our client experience and grow our global consumer base.</li></ul> Responsibilities: Your day to day: <ul><li>Define and execute the consumer growth strategy, identifying opportunities to improve signup, onboarding, and activation experiences.</li><li>Own and optimize conversion funnels, A/B testing hypotheses to improve activation and engagement metrics.</li><li>Leverage data analytics, user research, and experimentation to uncover friction points and enhance the consumer journey.</li><li>Collaborate with design, engineering, and marketing teams to build seamless, intuitive experiences that drive growth.</li><li>Develop KPIs and key success metrics for growth initiatives, continuously monitoring performance and iterating for improvements.</li><li>Advocate for a customer-first mindset by understanding user needs and pain points, ensuring solutions are scalable and impactful.</li><li>Partner with risk, identity, and compliance teams to ensure new users are authenticated, regulatory requirements are met, and bad actors are kept off the platform. </li></ul> Requirements: <ul><li>7+ years of experience in product management, preferably in consumer growth, fintech, e-commerce, or a related industry.</li><li>Proven track record of driving measurable growth through data-driven product strategies and experimentation.</li><li>Strong analytical skills, with experience in A/B testing frameworks and data visualization tools.</li><li>Experience working with cross-functional teams in an agile environment.</li><li>Excellent communication and stakeholder management skills, with the ability to influence at all levels of the organization.</li><li>Deep understanding of user acquisition, onboarding, engagement, and retention best practices.</li><li>Experience working with machine learning, personalization, or growth automation is a plus.</li></ul>

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16 learning facilitation Jobs found

Preventive Maintenance Manager

Learning Specialist: Commercial, Logistics and Ports & Terminals

AI/ ML Engineer

Finance Analyst, Rotational Program

Senior Manager Data Science

Senior Data Scientist II

Senior Data Scientist

Agile Delivery Manager

Digital Transformation Executive

Senior Product Manager, Consumer Growth

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16 learning facilitation Jobs found

Preventive Maintenance Manager

Learning Specialist: Commercial, Logistics and Ports & Terminals

AI/ ML Engineer

Finance Analyst, Rotational Program

Senior Manager Data Science

Senior Data Scientist II

Senior Data Scientist

Agile Delivery Manager

Digital Transformation Executive

Senior Product Manager, Consumer Growth

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

EMPLOYER

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COMPANY

Contact Us

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