4 Cpg Domain Jobs

As an Engagement Lead / Manager for CPG (Consumer Packaged Goods) at Straive, you will play a pivotal role in anchoring analytics engagements within the CPG domain. Your responsibilities will encompass owning client relationships, developing solution strategies, overseeing program delivery, and nurturing analytics accounts with a primary emphasis on commercial analytics such as Trade Promotion Analysis, Revenue Growth Management (RGM), Pricing Optimization, and Promotion Effectiveness. In this leadership position, you will act as a trusted advisor to global CPG clients, leveraging data-driven insights to address complex business challenges and drive value across sales, marketing, and supply chain functions. Your role will involve leading diverse teams comprising data science, engineering, and consulting professionals to deliver scalable AI-led solutions that enhance trade spend efficiency, pricing strategies, and revenue growth drivers. We are looking for an entrepreneurial leader who can spearhead Straive's growth trajectory in CPG analytics by formulating client AI strategies, delivering innovative solutions, and expanding key client relationships. Your responsibilities will include: - Owning a high-visibility growth charter in an innovation-centric environment. - Architecting AI-driven, forward-looking CPG solutions. - Collaborating with global executives to tackle industry complexities. - Thriving in a dynamic, high-autonomy culture that values innovation and performance. Key Responsibilities: - Providing strategic guidance to CPG clients by aligning advanced analytics and AI solutions with evolving business priorities related to Trade Promotion Effectiveness, Revenue Growth Management, Pricing Optimization, and Promotion Analysis. - Leading the end-to-end execution of AI and analytics initiatives, including forecasting, trade optimization, retail execution, and personalization. - Identifying growth opportunities and driving account expansion through innovative solutions, proof of concepts (PoCs), and strategic initiatives. - Mentoring cross-functional teams spanning AI, data engineering, and industry domain specialists. - Driving client adoption through compelling narratives, insight-driven advisory, and change management. Required Qualifications: - Minimum of 12 years of experience in advanced analytics, consulting, or digital transformation within the CPG sector. - Profound domain expertise in CPG commercial analytics, particularly in Trade Promotion Analysis, Revenue Growth Management, Pricing Strategy, and Promotion Effectiveness. - Extensive knowledge across CPG functions such as sales operations, trade marketing, supply chain, and shopper insights. - Proven track record in designing and implementing enterprise-grade AI/analytics solutions. - Demonstrated success in leading large, multi-stakeholder programs with C-level impact. - Proficiency in modern data stacks, visualization tools, and AI/ML frameworks is highly desirable.,

The AI Business Advisory team at LTIMindtree is dedicated to assisting clients in unlocking new efficiencies and growth, as well as driving game-changing innovations through the integration of machine intelligence and rich domain experience. By leveraging AI technologies, we aim to facilitate strategic business transformations within the CPG and retail industry. In this role, you will be responsible for structuring high-value business problems and crafting innovative solutions that combine machine intelligence and domain expertise. You will engage with clients at the executive level to refine their business strategies and guide them in the development and implementation of AI/GenAI solutions. Additionally, you will actively participate in industry events to showcase our expertise and establish thought leadership. Your responsibilities will also include developing Proof of Concepts in collaboration with clients to address their business pain points using AI tools and frameworks. It will be crucial to manage client expectations effectively, foster strong client relationships, and align technical and business teams to drive the adoption of generative AI and machine learning. As a successful candidate, you should have a minimum of 8 years of experience in the analytics industry, specifically within the CPG & Retail domain. You must possess a deep understanding of industry challenges and data complexities, along with a track record of launching complex programs involving big data, analytics, artificial intelligence, and machine learning. Strong analytical skills and hands-on experience in problem-solving are essential for this role. Proficiency in AI technologies such as machine learning, natural language processing, computer vision, and predictive analytics is highly valued. A formal degree or certification in AI/ML would be advantageous. Moreover, experience in product management, marketing lifecycles, and cloud-based solutions deployment is beneficial. The ideal candidate will be a confident communicator with an executive presence, capable of articulating complex concepts to both technical and non-technical audiences. You should also have a proven ability to hire and develop talent, cultivating market-facing specialists and consultants in the field of AI. Building a community of practice centered around AI is a key aspect of this role.,

About Us Thoucentric provides end-to-end consulting solutions to tackle diverse business challenges across industries. With a focus on leveraging deep domain expertise, cutting-edge technology, and a results-driven approach, we assist organizations in optimizing operations, improving decision-making, and fostering growth. Headquartered in Bangalore, we have a global presence in India, US, UK, Singapore, and Australia. Our services span Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning, and Execution, encompassing areas such as Analytics & Emerging Tech in functional domains like Supply Chain, Finance & HR, Sales & Distribution. We pride ourselves on executing solutions rather than just offering advice, collaborating with leading names in the CPG industry, tech sector, and start-up ecosystem. Recognized as a "Great Place to Work" by AIM and ranked among the "50 Best Firms for Data Scientists to Work For", we boast a seasoned consulting team of over 500 professionals across six global locations. Job Description About the Role We are in search of a BI Architect to support the BI Lead of a global CPG organization by designing an intelligent and scalable Business Intelligence ecosystem. The role involves crafting an enterprise-wide KPI dashboard suite enhanced by a GenAI-powered natural language interface for insightful exploration. Responsibilities - Architect BI Stack: Develop and supervise a scalable and efficient BI platform serving as the central source for critical business metrics across functions. - Advise BI Lead: Collaborate as a technical advisor to the BI Lead, ensuring alignment of architecture decisions with long-term strategies and business priorities. - Design GenAI Layer: Create a GenAI-driven natural language interface for BI dashboards to enable conversational querying of KPIs, trends, and anomalies by business users. - RAG/Graph Approach: Implement suitable architectures like RAG with vector stores or Knowledge Graphs to deliver intelligent, context-rich insights. - External Data Integration: Establish mechanisms for organizing and integrating data from external sources (e.g., competitor websites, industry reports) to enhance internal insights. - Security & Governance: Maintain adherence to enterprise data governance, security, and compliance standards across all layers (BI + GenAI). - Cross-functional Collaboration: Engage closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization of the BI ecosystem. Requirements Qualifications - 9 years of BI architecture and analytics platform experience, with at least 2 years focused on GenAI, RAG, or LLM-based solutions. - Profound expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. - Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). - Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is advantageous. - Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. - Experience in web scraping and structuring external/third-party datasets. - Previous exposure to CPG domain or large-scale KPI dashboarding is preferred. Benefits Joining Thoucentric as a Consultant offers: - Opportunity to shape your career path independently. - Engaging consulting environment working with Fortune 500 companies and startups. - Supportive and dynamic workplace fostering personal growth. - Inclusive culture with opportunities for bonding beyond work. - Participation in Thoucentric's growth journey. Skills Required: BI architecture, Analytics, Data Visualization Practice Name: Data Visualization Date Opened: 07/15/2025 Work Mode: Hybrid Job Type: Full time Industry: Consulting Corporate Office: Thoucentric, The Hive, Mahadevapura, Bengaluru, Karnataka, India, 560048,

You would be expected to: Facilitate alignment between business and IT, and across the democratized IT landscape Engage business and IT stakeholders, building and maintaining relationships Adapt to changing business and operating models Analyze trends and disruptions, and assess their impact on targeted business outcomes Tell stories to visualize the future state and trigger long-term planning Support various operating models such as project-centric and product-centric Communicate the value of enterprise architecture, and its portfolio of services Drive the evolution of the EA teams services and operating model Scope of Activities: As an Enterprise Architect, you will demonstrate competencies across four key dimensions: Support Formulation of Strategy and Guide Execution Work with business and leadership stakeholders to develop strategy Analyse business and operating models, market trends and the technology industry to determine their potential impact on the enterprises business strategy, direction, and architecture. Provide perspective on the readiness of the organization to change and innovate through scenario planning techniques, and supports formulation of business strategy. Uses planning-driven, design-driven and learning-driven approaches to construct future- and current-state business models. Connects Strategy to Execution Facilitate business and IT alignment, connecting strategy to execution, through a collaborative, supportive and consultative manner, driving the organization’s digital business strategies and balancing innovation and growth. Translate and guide execution of business strategy to achieve the organization’s targeted business outcomes. Construct technology-enabled business and operating models and provides viable options and visibility into execution issues. Build and Maintain Relationships – Build the EA value proposition and structure business engagement Build the EA value proposition, contributing to positioning the EA practice as an internal management consultancy, offering services and skills to support the development and execution of business strategy. Determine the relationship between people, processes, information, technology and other components of the enterprise operating model. Enable value-based messaging and manage cross-functional relationships Provide consultative advice, adapted to stakeholder context, to business leaders and organizational stakeholders who seek actionable recommendations to make investment decisions about the next business and operating model of their organization, using technology to make that change happen. Facilitate interaction with business leaders, product managers and product owners in a business-driven conversation over the risks and implications of the product decision to the line of business, business unit and greater enterprise. Orchestrate the Delivery of Business Outcomes – Develop the business architecture Position the EA practice at the intersection of business and IT. Ensure that the EA practice is designed and enabled to formulate, translate and execute business strategy. Work with business architects and business leaders to identify key drivers and targeted business outcomes to derive useful business context. Bring alignment across business and IT Analyse the business’ future-state capabilities and future (and current) IT environment to detect critical gaps and opportunities and recommend solutions for improvement to drive the business towards its targeted outcomes. Identify organizational requirements for the resources, structure and cultural changes necessary to support the enterprise architecture. Work with the IT leaders to find the right EA organizational design to drive business-outcomes. Support Solution Design and Delivery – Support portfolio modernization and develop roadmaps Maintain the alignment, integration and coordination of architecture activities across different programs, projects and products as they evolve over time. Present gap analyses and/or IT investment roadmaps that reflect the status of the existing IT landscape, namely, its ability to contribute to future-state business capabilities around ecosystems and digital platforms. Analyse the IT environment to detect critical deficiencies and recommend solutions for improvement. Develop an implementation plan for the enterprise architecture based on business requirements and the varying IT strategies for project-driven or product-driven delivery teams. Support solution design and delivery Develop and apply minimal viable architectures, which can include a set of standards, reference architecture patterns, principles and guardrails, through the EA governance model, which is informed by the business strategy and corporate governance. Facilitate a collaborative relationship across architecture community, product management and product delivery teams by providing freedom-in-a-box for decision making, with the minimal viable architecture forming the boundaries of the box. Collaborate with delivery teams to ensure consistency with the enterprise architecture, as well as to leverage shared technologies, tools and processes that impact speed to value and time to market. Collaborate with infrastructure teams to ensure consistency with the enterprise architecture, as well as to identify when it is necessary to modify the enterprise architecture. Your experience counts! Master’s or bachelor’s degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience. 4 or more years of business experience in strategic and operations planning and/or business analysis or experience as an enterprise architecture consultant. 4 or more years of experience in at least two disciplines, such as business, information, solution or technical architecture, application development, middleware, information analysis, database management or operations in a multitier environment. Technical Skills: Knowledge of business ecosystems, SaaS, IaaS, PaaS, SOA, APIs, open data, microservices, event-driven IT, data and predictive analytics. Familiarity with enterprise architecture tools, related graphical models, and frameworks. Insight into information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Understanding of various operating models such as project-centric and product-centric and also different types of agile principles, methodologies and frameworks, especially those designed to be scaled at the enterprise level. Awareness of existing, new and emerging technologies, and processing environments. Effective soft and interpersonal skills, including teamwork and facilitation. Strong consulting skills such as targeted communications and stakeholder management. Understanding of all components of enterprise architecture, business & IT principles and processes. Industry Experience: Experience in one of more telco value chains (Concept to Market, Lead to Order, Order to Cash, Trouble to Resolve) across B2C and B2B Understanding on various BSS modules and Telco Journeys such as Lead/Opportunity management, CRM, Order Management, CPQ, Billing, Mediation, Provisioning, Collections, Channels, Customer Care, etc. Knowledge of telecom products across wireline, wireless and Enterprise domains eTOM , TM Forum Open API certifications are highly desirable Experience of working on digital transformation projects in Strategy, innovation and digital initiatives across Digital Maturity models, CSPs Operating model, Innovation Barometers, Intelligent operations for CSPs and other related areas Contact Sumeet Kaur +917889617795 Sumeet.kaur@mounttalent.com