Manager, Production & CI

S & OE Manager

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Business Strategy Analyst

Marketing & Experience Manager

Country Manager

Responsibilities:&nbsp; <ul><li>Train and develop team members to foster a culture of continuous improvement and operational excellence.</li><li>Be accountable of site production teams’ engagement.</li><li>Follow up site production team capabilities and create a multi functional environment.</li><li>Lead and coordinate daily production activities to meet production targets, quality standards, and delivery deadlines.</li><li>Develop and implement process improvements using continuous improvement methodologies.</li><li>Analyze production data to identify areas for efficiency gains and waste reduction.</li><li>Collaborate with cross-functional teams (engineering, quality, supply chain) to resolve production issues.</li><li>Monitor key performance indicators (KPIs) related to production efficiency, waste, safety, and quality.</li><li>Ensure compliance with safety regulations and promote a safe working environment.</li><li>Manage resources effectively, including workforce planning and equipment utilization.</li><li>Prepare reports on production.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering</li><li>Minimum 10 years of experience in production management, continuous improvement, or operational efficiency roles.</li><li>Strong expertise in Lean Manufacturing, TPM, WCM, IWS or other process improvement methodologies</li><li>Excellent analytical and problem-solving skills, with proficiency in data-driven decision-making.</li><li>Experience in the tobacco or FMCG industry is highly desirable.</li><li>Strong leadership abilities to drive change and influence teams across different levels of the organization.</li><li>Ability to manage multiple projects efficiently in a fast-paced environment.</li><li>Additional support activities as assigned.</li></ul>

Responsibilities: Factory S&amp;OE Execution Ownership: <ul><li>Own S&amp;OE execution across 4 manufacturing sites, ensuring alignment between demand, supply, and production plans</li><li>Drive short-term execution decisions to protect customer service and delivery performance</li><li>Lead plant-level weekly S&amp;OE cadences focused on exception management and recovery actions</li><li>Ensure adherence to global S&amp;OE standards, governance, and processes&nbsp;</li></ul> Operational Excellence &amp; KPI Delivery: <ul><li>Deliver against key metrics: On-Time -Delivery, Past Due, Lead Time Accuracy, Response Time, and Inventory Health</li><li>Drive root cause analysis and corrective actions for service gaps and supply constraints</li><li>Implement continuous improvement initiatives to enhance reliability, responsiveness, and efficiency</li><li>Standardize ways of working across factories to improve consistency and execution rigor</li></ul> Customer &amp; Commercial Alignment: <ul><li>Partner closely with Customer Care and Sales teams to ensure clear prioritization and fast response to demand changes</li><li>Support escalation management with structured, data-driven solutions</li><li>Translate commercial priorities into executable supply actions at plant level</li></ul> Managing Complexity, NPI &amp; Migrations: <ul><li>Ensure operational readiness for new product introductions and product migrations</li><li>Coordinate with planning, manufacturing, and supply teams to mitigate risks during transitions</li><li>Manage demand volatility and supply constraints with agility and structured decision-making</li></ul> Financial &amp; Service Performance: <ul><li>Balance service, cost-to-serve, and inventory objectives in daily execution decisions</li><li>Support achievement of working capital and cost targets through disciplined planning and execution</li><li>Use data and analytics to optimize trade-offs between service and cost</li></ul> People Leadership &amp; Capability Building: <ul><li>Lead and develop a team of ~10 S&amp;OE planners/analysts</li><li>Coach team on problem-solving, prioritization, and decision-making</li><li>Establish clear roles, accountability, and performance expectations</li><li>Build a high-performance, accountable, and collaborative team culture</li></ul> S&amp;OE Process Adoption &amp; Maturity: <ul><li>Drive adoption of global S&amp;OE processes, tools, and KPIs</li><li>Ensure high-quality data, system discipline, and process compliance (SAP, S4 Hana, IBP Response)</li><li>Support S&amp;OE maturity roadmap deployment at factory level</li></ul> Requirements: <ul><li>Bachelor’s degree in business administration, Supply Chain Management, Logistics, Industrial Engineering or a related field.&nbsp;</li><li>An MBA or master’s degree is preferred.</li><li>10+ years of experience in supply chain planning, or operations in a multinational environment.&nbsp;</li><li>Exposure to high-growth environments, NPI, and product migrations preferred.</li><li>Minimum of 4 years of experience in people management, leading diverse teams in a global environment.</li><li>Proven experience in Sales and Operations Execution (S&amp;OE) or related roles.&nbsp;</li><li>Experience in managing operational processes related to demand planning, supply chain management, and inventory optimization.</li><li>Excellent communication and interpersonal skills to engage effectively with cross-functional teams and stakeholders.</li><li>Strong analytical skills with the ability to interpret complex data and drive actionable insights.</li><li>Highly Competent with supply chain management software (SAP Must, IBP Response is a plus) and analytics tools.</li><li>Demonstrated leadership skills with the ability to lead and inspire diverse teams across different locations.</li><li>Understand business drivers and able to balance between short- and long-term objectives.</li></ul>

Role Description: <ul><li>Specification Sales Engineer, Low Voltage System Assemblies What you’ll do: As a Specification Engineer, you will have the opportunity to align your skills, interests, and aspirations with a role that allows you to define your own goals.</li><li>You will be responsible for expanding and maintaining a network of specifying entities—such as engineering offices, consultants, and end-users—ensuring the company is involved early in the project lifecycle.</li><li>You will influence specifications, track project sources, and ensure internal alignment to maximise opportunity conversion and solution adoption.</li></ul> Responsibilities: <ul><li>Prospecting: Identify new specifying entities and early-stage projects through proactive research and outreach.Building Relationships with Priority Specifying Entities: Cultivate long-term relationships with consultants, engineers, and end-users to influence project direction.</li></ul> <ul><li>Planning Account Actions: Develop account-specific strategies to drive specification success and long-term engagement.</li></ul> <ul><li>Planning Calls: Prepare and schedule impactful calls with specifying entities to uncover and advance project opportunities.</li></ul> <ul><li>Conducting Discovery: Gather detailed insights into customer needs, project requirements, and decision-making processes.</li></ul> <ul><li>Planning Opportunities: Align internal resources and timelines to capitalise on identified project opportunities.</li></ul> <ul><li>Drafting Initial Concepts: Create early-stage technical and commercial proposals tailored to project specifications.</li></ul> <ul><li>Transferring Descriptive Concepts to Backend: Ensure smooth handover of project concepts to internal teams for execution and follow-up.</li></ul> <ul><li>Making Bid or No Bid Decisions: Evaluate project fit and strategic value to determine pursuit strategy.</li></ul> <ul><li>Communicating with Internal Stakeholders: Coordinate with Project Sales Engineers, back office, and project management to ensure project continuity.</li></ul> Requirements: <ul><li>Educational Background: Bachelor’s or Master’s degree in Electrical Engineering, or justifiable equivalent education.</li><li>Previous Experience: 2–5 years of experience.</li><li>Required Languages: English &amp; Turkish</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</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>

Role Description: <ul><li class="ql-align-justify">The Business Strategy Analyst supports the execution of the Group’s strategic priorities, operational excellence agenda, and performance management frameworks.</li><li class="ql-align-justify">Reporting to the Strategy &amp; Operations Manager, the role provides analytical, process, and reporting support to help translate strategy into effective execution across the Group’s enabling functions and business units.</li></ul> Responsibilities: <ul><li>Strategy Execution SupportAssist in tracking progress against strategic initiatives, KPIs, and overall business objectives.</li><li>PMO &amp; Project TrackingBuild and maintain project plans, track milestones, risks, and dependencies, and ensure timely execution.</li><li>Dashboarding &amp; ReportingPrepare dashboards, MIS reports, and performance summaries for leadership and stakeholders.</li><li>Cross-Functional CoordinationWork with multiple business functions to drive alignment, follow-ups, and accountability on key initiatives.</li><li>Operational Excellence &amp; Process SupportSupport process improvement initiatives, SOP creation, and transformation projects (e.g., outsourcing, efficiency programs).</li></ul>﻿Requirements: Knowledge, Skills, Qualifications and Experience required for this Role <ul><li class="ql-align-justify">Strategy Execution &amp; Performance Support</li><li class="ql-align-justify">Operational Excellence &amp; Business Process Improvement</li><li class="ql-align-justify">Project &amp; Initiative Coordination</li><li class="ql-align-justify">Reporting, Insights &amp; Information Management</li><li class="ql-align-justify">Stakeholder, Governance &amp; Strategy Administration Support</li></ul> Experience &amp; Knowledge: <ul><li>2–4 years’ experience in business analysis, strategy, operations, consulting, finance, or process / project support roles.</li><li>Exposure to operational excellence, process improvement, PMO, or transformation environments preferred.</li><li>Working knowledge of financial statements and basic financial analysis.</li><li>Experience supporting system or process change initiatives (requirements, SOPs, UAT, or adoption tracking) is an advantage</li></ul>&nbsp;Education: <ul><li>Bachelor’s degree in Business Administration, Economics, Finance, Engineering, Information Systems, or another relevant analytical or business discipline.</li><li>A strong analytical or quantitative academic background is preferred.</li><li>Postgraduate qualifications (e.g. MBA, MSc) or professional certifications in strategy, business analysis, project management, or operational excellence (e.g. Lean, Six Sigma, PMP) are not required, but will be considered an advantage at junior level.</li></ul>

Role Description: <ul><li>We are looking for a dynamic and hands-on Marketing &amp; Experience Manager to drive brand visibility, storytelling, and guest engagement for the conservancy.</li><li>This is a unique, purpose-driven role that combines:</li><li>Marketing strategy &amp; execution</li><li>Event and experience creation</li><li>Content and brand storytelling</li><li>You will play a key role in bringing the conservancy’s story to life across all touchpoints—both digital and on-ground.</li></ul> Responsibilities: 1. Marketing &amp; Brand Management <ul><li>Execute integrated marketing plans to drive awareness and engagement</li><li>Create compelling marketing materials (brochures, campaigns, presentations)</li><li>Plan and deliver events, activations, and promotional initiatives</li><li>Track campaign performance and optimize based on insights</li><li>Manage marketing budgets and reporting</li></ul> 2. Guest Experience &amp; On-Ground Engagement <ul><li>Design and enhance the visitor journey and overall guest experience</li><li>Develop new experience concepts within the conservancy</li><li>Ensure consistent storytelling through signage, staff interactions, and content</li><li>Support and train teams on brand messaging and guest engagement</li></ul> 3. Media, Digital &amp; Content <ul><li>Manage website updates, newsletters, and content calendars</li><li>Drive social media presence and digital campaigns</li><li>Create engaging written, visual, and video content</li><li>Monitor performance metrics (engagement, traffic, conversions)</li><li>Ensure all content is on-brand and consistent across channels</li></ul> 4. Events &amp; Partnerships <ul><li>Plan and execute key events, exhibitions, and fundraising initiatives</li><li>Coordinate with partners, agencies, and stakeholders</li><li>Support partnership communications and joint initiatives</li><li>Manage PR and social media agencies effectively</li></ul> 5. Stakeholder &amp; Relationship Management <ul><li>Collaborate with internal teams (operations, education, finance)</li><li>Build strong relationships with external partners and vendors</li><li>Act as a central point connecting marketing with on-ground teams</li></ul> Requirements: Experience <ul><li>5+ years in marketing, brand, events, or agency roles</li><li>Background in FMCG, experiential marketing, hospitality, or NGOs preferred&nbsp;</li></ul>

Responsibilities: <ul><li>Grow sales (volume &amp; value mix), market share and weighted distribution within scope.</li><li>Drive ABC strategic commercial plans including but not limited to: new market/channel entry, geo-expansion, direct-to-consumer, new product launches, cross-category promotions, distributor management, trade engagement/loyalty, promotion adherence, etc.</li><li>Build integrated business plans to drive sales within scope and engage all stakeholders for execution.</li><li>Optimize portfolio strategy (SKU/channel/area mix) to attain maximum value creation.</li><li>Build the “ABC” brand name to give consumers compelling reasons to choose our brand over competing brands</li><li>Lead top-to-top relationship management with key customers in both Retail &amp; Foodservice</li><li>Data-driven. Thoroughly understand SELL-OUT and SELL-IN data to derive insights &amp; identify opportunities to grow.</li><li>Ensure effective D&amp;A Management in both Retail &amp; Foodservice</li><li>Ensure accurate/correct monthly forecasts are submitted ahead of deadline with the objective/ intention to achieve the forecast accuracy target.</li></ul> Requirements: <ul><li>Bachelor’s Degree minimum</li><li>10 years’ minimum of Sales/ Marketing/ Business Development (FMCG/FMCG Distributor)</li><li>which covers both Retail &amp; Foodservice</li><li>Experience as Nation Sales Manager or related from MNC companies or global food &amp; beverages or consumer brands is preferable.</li></ul>

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75 consumer insights Jobs found

Manager, Production & CI

S & OE Manager

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Business Strategy Analyst

Marketing & Experience Manager

Country Manager

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75 consumer insights Jobs found

Manager, Production & CI

S & OE Manager

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Business Strategy Analyst

Marketing & Experience Manager

Country Manager

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

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TALENT

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Contact Us

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