Commodity Sourcing Specialist

Finance Planning & Analysis Analyst

TA Specialist

Client Relationship Expert

TA Supervisor

AVP, Digital Analytics

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Responsibilities: Strategic Sourcing &amp; Commodity Management: <ul><li>Develop and implement india sourcing strategies aligned with business goals, market dynamics, and global category direction.</li><li>Conduct market analysis, identify cost drivers, evaluate risks, and propose mitigation actions.</li><li>Identify, evaluate and qualify suppliers that meet company requirements in quality, service, cost, sustainability and innovation.</li></ul> Supplier Management &amp; Negotiation: <ul><li>Negotiate and manage supply agreements to ensure optimal total cost of ownership and long term value creation.</li><li>Lead supplier performance reviews and drive improvement in quality, delivery, cost and service.</li><li>Build strong, transparent and collaborative relationships with new and existing suppliers.</li></ul> Cross Functional Collaboration: <ul><li>Work closely with Manufacturing, Quality, EHS and Operations teams to ensure sourcing strategies align with technical and operational needs.</li><li>Support engineering changes, new product introductions and supply transitions.</li><li>Partner with Sustainability teams to develop and implement environmentally responsible sourcing solutions.</li></ul> Process, Governance &amp; Continuous Improvement: <ul><li>Improve sourcing processes, governance and data accuracy across the region.</li><li>Support digital tools and dashboards that enhance market intelligence, supplier insights and performance tracking.</li><li>Identify and execute continuous improvement initiatives and best practices across sourcing and procurement.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Supply Chain, Business or related field.</li><li>5–10 years of relevant sourcing or procurement experience.</li><li>Willingness to travel within the India</li></ul>

Responsibilities: Commercial FP&amp;A supporting corporate deliverables (RB/Fcst/SBP/Bud for P&amp;L): <ul><li>Be responsible for the creation and maintenance of templates/models for the budgeting and forecasting.</li><li>Analysing and providing business insights into the performance of the India In Market Company and the Asia Partnership markets.</li><li>Ensure RB/Fcst/SBP/Bud submitted on time and accuracy in group reporting systems.</li><li>Pricing maintenance includes transfer price request between legal entities, liasing with Group Tax finance and finance colleagues in other legal entities.</li><li>Creation of regular reports for key stakeholders for use in the monitoring of India legal entity P&amp;L.</li><li>Provide analytics to track the key drivers of performance by customer and brand activities to ensure key message are translated in reporting/forecasting decks.</li><li>Full ownership of deferred discount analysis and reconciliation process including presentation to sales team and senior management.</li><li>Engaging actively with Marketing Director to support with A&amp;P management through the year</li></ul> Accounting Finance securing India Legal Entity financial integrity for P&amp;L and Cash Flow: <ul><li>Working with GBS team to manage timely month-end group reporting and submissions.</li><li>Preparation and review of P&amp;L and overheads reports as well as detailed variance analysis.</li><li>Support in providing documentation for all areas of accounting and statutory reporting.</li><li>Preparation and distribution of monthly management pack.</li><li>Support Finance director in providing:</li><li>Review weekly excise and N30 with supply chain for timely submissions to ATO/ACS.</li><li>Review and submission of monthly BAS (GST, PAYG, WET, FBT instalment).</li><li>Reconciliation and reviewing FBT submission in conjunctions with KPMG.</li><li>Quarterly tax calculation and year-end tax preparation with KPMG.</li><li>Treasury management.</li></ul> Annual insurance renewal coordination?: <ul><li>Reporting relationship</li><li>The FP&amp;A Analyst reports to the India Finance Director and works closely in the capacity of a Business Partner with the commercial team and other key stake holders.</li></ul> Requirements: <ul><li>Minimum 3 years’ experience, ideally working in an Audit Firm</li><li>Degree in Commerce/Accounting/CA</li><li>Experience in Liquor industry preferred, FMCG essential</li><li>Strong analytical and financial modelling skills</li><li>Entrepreneurial and solution-oriented mindset</li><li>Strong relationship skills</li><li>High attention to detail</li><li>Be comfortable with a multi-cultural environment</li><li>Proven ability to work across functions, carry out data analysis, identify trends, develop commercial options to address commercial issues</li><li>Ability to challenge status quo</li><li>Advanced excel skills a must, macro experience advantageous.</li><li>Good knowledge of SAP BI/APO/BPC/BW</li><li>Excellent knowledge of Microsoft Power Pivot and Power Query essential</li></ul>

Responsibilities: <ul><li>Select the desired employees and develop, implement, and monitor the programs and processes used in recruitment and selection.&nbsp;</li><li>They source, recruit, screen, interview and recommend external and/or internal candidates to staff open requisitions.&nbsp;</li><li>Utilize the services of employment agencies and/or place employment ads in appropriate sources, including the intranet, Internet, and print media.&nbsp;</li><li>Responsible for developing and implementing recruiting plans and administering talent management efforts and employee referral programs, managing the resume tracking system and ensuring consistent corporate image throughout recruiting campaigns.&nbsp;</li><li>Lead end-to-end recruitment, ensuring alignment with organizational strategy and culture.</li><li>Manage end-to-end hiring process: Source, resume screen, phone screen, schedule interviews, Offer documentation and onboarding</li></ul> Requirements: <ul><li>Minimum 6+ years of experience required for this role.</li><li>Should possess expert knowledge and innovative skills to source and attract active &amp; passive talent from different sourcing channels (job boards, social media, referrals and local outreach to identify potential candidates</li><li>Communication and Stakeholder management is key to be successful in this role as you work with global stakeholders and matrix organization</li><li>Good understanding of the engineering manufacturing industries in the local market, able to map talents, develop business intelligence for sourcing strategies and techniques</li></ul> Qualification <ul><li>Experience in handling end-to-end Talent Attraction Process [Source to Onboard]</li><li>Be able to develop Recruiting Strategies basis the skill demand and complexities</li><li>Expert knowledge and Hands-on in preparing market research, Market/Talent mapping using various tools such as Talent Neuron, Draup, LinkedIn Talent Insight</li><li>Data driven: able to analyse, slice &amp; dice data, develop insights from data and be able to make decisions to drive hiring strategies</li></ul>

Responsibilities: <ul><li>Client Relationship Management: Build and maintain strong, long-term relationships with high-value clients to foster loyalty, retention, and portfolio growth opportunities.</li><li>Strategic Insight &amp; Collaboration: Analyze client trends and market insights to identify strategic opportunities, collaborating closely with team managers and cross-functional stakeholders.</li><li>Sales &amp; KPI Performance: Drive sales performance and achieve KPI targets through advanced clienteling techniques aligned with business objectives.</li><li>Product Expertise &amp; Storytelling: Demonstrate expert knowledge of products and collections, using compelling storytelling to enhance client engagement and strengthen brand identity.</li><li>Operational Excellence: Ensure operational excellence by adhering to company guidelines, maintaining compliance standards, and effectively utilizing internal tools to optimize processes and elevate the client experience.</li></ul> Requirements: <ul><li>Years of exp: 5+ years of HNI luxury retail experience would be required</li><li>Excellent verbal and written communication</li><li>Client handling and conflict resolution skills</li></ul>

Responsibilities: Execute Hiring Strategies; <ul><li>Collaborate with Regional TA Manager, Business Leaders, HR partners, and Business teams to understand short- and long-term hiring needs.</li><li>Assist in developing and executing hiring plans, executing Global SLAs are aligned with the Business Goals</li><li>Stay informed about industry trends, market conditions, and emerging hiring practices &amp; tool</li></ul> Talent Sourcing &amp; Pipeline Development: <ul><li>Build and maintain a strong pipeline of candidates for various key roles such as NPD, NPI, PDE, MPDE and many more.</li><li>Assist the Regional TA Manager to develop and implement innovative hiring strategies using Market intelligence &amp; Talent Mapping tools.</li><li>Leverage a mix of sourcing channels: Internal/External career sites, social media Hiring such as LinkedIn, TikTok, Instagram, Facebook etc., Job Boards such as JobStreet, Monster</li><li>Familiar with hiring tools such as HireEz, ZoomInfo. Leverage employee referrals, and University hiring</li></ul> Employer Branding &amp; Candidate Engagement: <ul><li>Position the company as an employer of choice in the Engineering, Tech and manufacturing space.</li><li>Create content and campaigns targeting industry professional (e.g., webinars, blog posts, meetups, TechEvents)</li><li>Craft compelling job descriptions and recruitment materials tailored for manufacturing, Production and Engineering professionals</li></ul> Full-Cycle Recruitment: <ul><li>Deliver end-to-end recruitment: sourcing, screening, interviewing, offers &amp; compensation negotiation and onboarding</li><li>Collaborate with hiring managers to define role requirements and ideal candidate profiles.</li><li>Assist implement and monitor structured interview processes, including technical assessments</li></ul> Stakeholder Management: <ul><li>Act as the primary liaison between candidates and internal stakeholders</li><li>Provide regular hiring updates, metrics, and insights to leadership</li></ul> Data-Driven Recruiting: <ul><li>Use analytics to track sourcing effectiveness, time-to-hire, offer acceptance rates, and pipeline health.</li><li>Ensure Global Hiring Metrics, SLA and targets are aligned and achieved</li><li>Publish Daily / Weekly / Monthly / Qtrly reports on the efforts and progress</li><li>Optimize hiring funnel using recruitment metrics and KPI</li></ul> Requirements: <ul><li>Overall 8+ years of experience with Minimum of 5+ years from relevant industry</li><li>Preferably an Engineer of any discipline, but not mandatory (OR) Bachelor’s degree or higher in business administration or related field</li></ul>

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>

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62 insights Jobs found

Commodity Sourcing Specialist

Finance Planning & Analysis Analyst

TA Specialist

Client Relationship Expert

TA Supervisor

AVP, Digital Analytics

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

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62 insights Jobs found

Commodity Sourcing Specialist

Finance Planning & Analysis Analyst

TA Specialist

Client Relationship Expert

TA Supervisor

AVP, Digital Analytics

Specification Sales Engineer, Low Voltage System Assemblies

Cost Accountant

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

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.