Commercial Finance Manager

Data & ML Architect

Logistics Analyst

SAP Basis Engineer

Sr. Software Engineer - Ag & Trading .Net

Country Manager

Senior Manager - Portfolio Development

On & Off Trade Specialist

Senior Data Scientist - Machine Learning

Responsibilities: <ul><li>Own Managerial P&amp;L planning and forecasting, delivering accurate and documented forecasts and budgets</li><li>Lead and own the India FP&amp;A calendar (cross functional view – connected with S&amp;OP and Regional timeline)</li><li>Accountable for managerial P&amp;L reporting in Campari group consolidation system.</li><li>Provide visibility on P&amp;L by SKU / brand / state / channel / customer down to GP and/or CAAP and by account.</li><li>Manage SG&amp;A in collaboration with functional leaders.</li><li>Provide clarity on business performance drivers and variations vs previous forecasts, Budget and prior years</li><li>Pilar of the S&amp;OP process, leading the Volume to value conversion and ensure consistency with commercial planning.</li><li>Provide management relevant and accurate analytics providing visibility on the R&amp;O and as such, enabling effective business decisions.</li><li>Secure integrity of the Depletions/sell out reporting by brand, by state, by channel.</li><li>Understand COGS variances in collaboration with regional supply chain finance team</li><li>Work in close collaboration with controlling team to secure DD and A&amp;P accruals accuracy, documentation and relevance at all time.</li><li>Support Revenue Optimization agenda, partnering commercial team to optimize revenue performance by customers/distributors/channel and maximize profitability.</li><li>Drive internal control &amp; operating efficiency of the promotional program and trade spend.</li><li>Support Key Account managers for trade terms negotiation, providing relevant analytics.</li><li>Develop standardized Value Chain supporting commercial team needs</li><li>Develop sound and reasonable business case for innovation/new product launch/footprint expansion</li><li>Drive ROI analysis for all key initiatives – maximization of investment, share learnings.</li><li>Continually work with functional teams to drive profitable growth and strive for continuous ongoing improvement.</li><li>Drive initiatives through increased focus on the effectiveness and profitability of sales spend and through the proactive identification of profit/growth opportunities.</li><li>Represent finance and challenge financial efficacy in key cross functional forums like Exec reviews, valuation meetings.</li><li>Develop tools to support cross functional team work and decision making and help improvement of internal processes.</li><li>Support projects led by group aiming at improving analytics and efficiencies across finance</li></ul> Requirements: <ul><li>8-10 years experience in commercial finance and FP&amp;A role. Ideally close working experience with sales and marketing/ supply chain in a commercial capacity, preferably in the liquor industry or FMCG.</li><li>Qualification – Chartered Accountant</li><li>Experience in Liquor industry preferred, FMCG essential</li><li>Advanced excel and strong power-point skills</li><li>SAP, Power BI, BPC&nbsp;</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: <ul><li>Maintain &amp; report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement &amp; action.</li><li>Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds, tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast</li><li>Track attainment to forecast every month, including Pareto analysis of any misses &amp; gap closure plan</li><li>Challenge existing targets &amp; identify opportunities for further improvements by partnering with the Global Logistics &amp; Global Trade Services organizations</li><li>Drive adherence &amp; standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level</li><li>Identify and lead a project(s) that directly contributes to freight and/or duty cost reduction</li><li>Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes</li><li>Collaborate with the Master Data team to review and maintain system parameters in accordance with the latter.</li><li>Lead Slow-Moving / Obsolete inventory cadence &amp; drive actions to completion, including End-of-Life procedure</li><li>Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)</li><li>Create innovation and digitize reports for better data presentation and action determination.</li></ul> Requirements: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Masters degree is preferred.</li><li>Proven experience 5+ years in master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatica MDM, etc.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul>

Responsibilities: <ul><li>Designs, builds, and supports SAP platform solutions by applying sound engineering practices to ensure system stability, performance, and scalability.</li><li>Utilizes enterprise tools and methodologies to automate system deployments, transport, and administrative activities, enabling reliable and repeatable releases.</li><li>Collaborate with cross‑functional partners to translate moderately complex business and technical requirements into effective SAP Basis solutions.</li><li>Performs system validation, technical testing, monitoring, and troubleshooting to maintain the quality and availability of SAP systems.</li><li>Contributes to continuous improvement initiatives by identifying opportunities to enhance SAP Basis processes, automation, and operational efficiency.</li><li>Creates and maintains clear technical documentation for SAP landscapes, configurations, and operational procedures.</li><li>Provides technical support for moderately complex SAP Basis issues, ensuring timely resolution and minimal impact to business operations.</li><li>Drives automation and quality through the use of enterprise testing and deployment tools, including Tosca for test automation and qTest for test management, execution, and traceability.</li><li>Develops, executes, and maintains manual and automated test assets for SAP systems, ensuring end‑to‑end coverage across SIT, UAT, regression, and integration testing cycles.</li><li>Performs system validation, monitoring, defect analysis, and troubleshooting in partnership with development, security, and infrastructure teams to ensure reliability and performance.</li></ul> Requirements: <ul><li>Minimum requirement of 5 years of relevant work experience with SAP Basis.&nbsp;</li><li>Demonstrated expertise in SAP Basis engineering, with strong knowledge of SAP system architecture, technical landscape design, system administration, upgrades, transport, performance monitoring, and operational support across multiple SAP environments.</li><li>Experience managing and supporting SAP technical operations, including system availability, batch processing, interfaces, background jobs, monitoring, troubleshooting, and incident resolution in alignment with enterprise service expectations.</li><li>Proven ability to support SAP Fiori and UI technical components from a Basis perspective, including configuration, activation, performance support, and coordination with security and application teams.</li><li>Experience leveraging scripting and technical tools (such as SQL and automation utilities) to improve operational efficiency, support system analysis, and standardize SAP Basis activities.</li><li>Working knowledge of cloud‑hosted and hybrid SAP landscapes, including experience supporting SAP systems on platforms such as Microsoft Azure, AWS, or Google Cloud, with an understanding of infrastructure, connectivity, and platform operations.</li></ul>

Responsibilities: <ul><li>Demonstrate accountability by ensuring timely and high-quality project delivery.</li><li>Be result driven, consistently achieving measurable outcomes and meeting goals.</li><li>Act as a team player, collaborating effectively with cross-functional teams.</li><li>Exhibit a can-do mentality, tackling challenges with a proactive and positive approach.</li><li>Apply software engineering patterns and principles to design, develop, test, integrate, maintain, troubleshoot and document complex and varied software solutions and incorporate security practices in newly developed and maintained applications.</li><li>Participate in peer code review sessions to review code, coach peers and ensure code quality.</li><li>Take the lead in the assigned agile team to adopt agile philosophies, facilitate agile ceremonies and identify continuous improvement opportunities.</li><li>Incorporate the companys engineering and development best practices within the full software development lifecycle including coding standards, code reviews, source control management, building processes, testing and security principles, to deliver high quality code rapidly.</li><li>Collaborate to lead demonstration and continuous feedback sessions to improve development and help drive the long term vision.</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills.</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery and security.</li><li>Confirmed experience architecting applications, databases, services or integrations.</li><li>Extensive experience with .NET Framework and .NET Core.</li><li>Familiarity with front-end technologies like HTML, CSS, JavaScript, and frameworks such as Angular, React, or Vue.js.</li><li>Experience with DevOps practices and tools such as Docker and CI/CD pipelines.</li><li>Knowledge of SQL Server and / or PostgreSQL for database design and management.</li><li>Hands-on experience with Kubernetes for container orchestration and management.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP.</li><li>Minimum of 5 years of related work experience in software development using .NET technologies.</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>

Responsibilities: <ul><li>Oversee distributor relationships, shipment delivery, depletion tracking, and overall operations</li><li>Manage all aspects of On and Off Trade execution</li><li>Ensure timely processing of purchase orders, A&amp;P budgets, and claim settlements for operational excellence</li><li>Ensuring brand availability, menu listing, and appropriate pricing in on premise outlets</li><li>Monitor outlet level inventory and plan stock replenishment aligned with sales opportunities</li><li>Ensure products are correctly priced, ticketed, and displayed across unpaid shelves and paid elements (wall bays, gondolas, shelf in shelf)</li><li>Execute in store visibility initiatives and build impactful displays as per annual plans</li><li>Manage visibility and activation calendars, ensuring flawless execution of brand experiences</li><li>Plan, execute, and review gift pack promotions to deliver pre aligned objectives</li><li>Deliver merchandising services tailored to diverse customer needs</li><li>Build and maintain strong relationships with counter salesmen, bar managers, restaurant managers, and general managers</li><li>Handle ad hoc administrative tasks as required</li></ul> Requirements: <ul><li>Self-motivator</li><li>Liquor Industry experience of 3+yrs</li><li>Ability to network and build relationships</li><li>Previous merchandising &amp;/or retail experience</li><li>Knowledge of retail activation planning/ management/ operation</li><li>High attention to detail</li><li>Excellent time management skills</li><li>Basic to intermediate MS Office (word, Excel, Outlook and PowerPoint)</li><li>Ability to work varied hours</li><li>Knowledge of the Liquor industry and regulatory environment, and communication guidelines</li></ul>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

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32 modern trade Jobs found

Commercial Finance Manager

Data & ML Architect

Logistics Analyst

SAP Basis Engineer

Sr. Software Engineer - Ag & Trading .Net

Country Manager

Senior Manager - Portfolio Development

On & Off Trade Specialist

On & Off Trade Specialist

Senior Data Scientist - Machine Learning

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32 modern trade Jobs found

Commercial Finance Manager

Data & ML Architect

Logistics Analyst

SAP Basis Engineer

Sr. Software Engineer - Ag & Trading .Net

Country Manager

Senior Manager - Portfolio Development

On & Off Trade Specialist

On & Off Trade Specialist

Senior Data Scientist - Machine Learning

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

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