AVP, Digital Analytics

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

Senior Manager - Portfolio Development

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</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>

Key Responsibilities: Global Portfolio Strategy <ul><li>Define and implement a unified global portfolio vision to meet future consumer/customer needs for filters and beyond filters (combustibles and next generation products)</li><li>Direct multi category program and project management to ensure innovation efforts are focused towards building a healthy portfolio</li><li>Balance global consistency with regional customization to maximize market relevance and profitability.</li><li>Oversee portfolio lifecycle management, including launches, rationalization, and category transitions.</li></ul>&nbsp;Market &amp; Consumer Insights <ul><li>Lead global research initiatives to capture consumer trends, competitive intelligence, and regulatory shifts across regions.</li><li>Translate insights into global portfolio strategies and innovation pipelines</li></ul> Innovation &amp; Product Development <ul><li>Drive global innovation programs, ensuring new products meet consumer demand and comply with international regulations.</li><li>Be the one stop shop for innovation – where commercial team and customers channel their initial ideas and requests before being formalized into innovation projects</li></ul>&nbsp;Cross-Regional Leadership <ul><li>Align regional commercial directors and managers under a global framework.</li><li>Facilitate knowledge sharing and best practices across markets to accelerate growth.</li><li>Act as the key liaison between commercial, operations and innovations teams</li></ul>&nbsp;Regulatory &amp; Compliance Oversight <ul><li>Monitor and interpret global regulatory developments impacting tobacco categories.</li><li>Ensure portfolio decisions adhere to international laws, trade agreements, and corporate responsibility standards.</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in engineering ,Business, Marketing, Economics, or related field; MBA strongly preferred.</li><li>12+ years of experience in FMCG, tobacco, or regulated industries, with at least 5 years in global portfolio/category leadership.</li><li>Deep understanding of international tobacco industry dynamics, consumer behavior, and regulatory frameworks.</li><li>Proven track record in global strategic planning, innovation, and cross-market leadership.</li><li>Exceptional communication, negotiation, and stakeholder management skills across diverse cultures.</li></ul>&nbsp;Competencies <ul><li>Strategic global mindset with commercial acumen.</li><li>Ability to balance global consistency with local market needs.</li><li>Leadership and team development across geographies.</li><li>Strong influencing skills in complex stakeholder environments.</li><li>Ethical decision-making and commitment to responsible global business practices.</li></ul>

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62 insights Jobs found

AVP, Digital Analytics

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

Senior Manager - Portfolio Development

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62 insights Jobs found

AVP, Digital Analytics

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

Senior Manager - Portfolio Development

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

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