Bangalore, India

Location: MumbaiExperience: 2–6 yearsNotice Period: Immediate to 30 daysQualification: MBA from a reputed institute; Tier 1 not mandatoryTravel: Extensive travel across India; potential exposure to SEA markets About the Opportunity We are hiring for a fast-growing BFSI-focused AI and analytics platform company that helps banks, insurers, NBFCs, and other financial institutions solve high-impact business problems across areas such as collections, underwriting, customer engagement, persistency, and premium renewal. The company is looking for a high-energy Sales Manager (Hunter) who thrives on opening doors, building pipeline, engaging senior stakeholders, and closing complex enterprise deals. The Role The Sales Manager will drive new business acquisition across BFSI accounts in India. This is a high-ownership, quota-carrying role suited to someone who enjoys prospecting, pitching, negotiating, and closing, and is comfortable engaging senior decision-makers. The successful candidate will be expected to build and manage an independent sales pipeline, navigate complex BFSI buying committees, and consistently convert qualified opportunities into signed business. Key Responsibilities Identify, prospect, and close new business opportunities across banks, insurers, and NBFCs Build and manage a healthy sales pipeline from lead generation through closure Apply the MEDDIC framework rigorously for deal qualification Engage and build relationships with CXOs and senior BFSI stakeholders, including business heads and analytics/digital leaders Own the full sales cycle, including discovery, coordination with pre-sales and solutioning teams, commercial negotiation, and contract closure Represent the organization at client meetings, industry events, and conferences Work closely with product, pre-sales, and delivery teams to ensure a smooth post-sale handover Maintain strong CRM discipline, pipeline hygiene, and accurate sales forecasting Candidate Profile 2–6 years of B2B sales experience, preferably in a hunting or new-logo acquisition role MBA from a reputed institute; Tier 1 qualification is not mandatory Prior experience selling to or working with banks, insurers, NBFCs, or other BFSI organizations Existing network and relationships within BFSI would be a strong advantage Experience selling analytics, SaaS, AI, data platforms, enterprise software, or related technology solutions preferred Practical experience applying MEDDIC or a similar enterprise sales qualification framework Proven ability to engage and pitch to CXO-level and senior business stakeholders Strong understanding of Indian enterprise buying environments Excellent verbal and written communication skills High-energy, self-driven mindset with a strong orientation toward new business acquisition and deal closure Willingness to travel extensively across India, with the possibility of future coverage across Southeast Asia Comfortable spending significant time meeting clients, building relationships, and developing new accounts Why Consider This Opportunity Join a fast-growing AI and analytics platform business operating in the BFSI transformation space High-ownership role with direct exposure to senior decision-makers Opportunity to influence how strategic enterprise deals are developed and won Fast-paced environment with relatively quick decision-making Competitive compensation with strong performance-linked incentives To Apply: Candidates who are available to join within 30 days will be prioritized.

Director – FICO A bit about the role As Director – SAP S/4HANA Finance, you will operate at Solution Architect level, leading the design and delivery of complex finance transformation programmes across our client portfolio. This is a highly strategic, client-facing role where you will act as a trusted advisor to senior stakeholders—owning solution architecture, shaping finance roadmaps, and guiding organisations through S/4HANA transformations across on-premise, private and public cloud environments. Alongside delivery, you will play a key role in growing the SAP Finance practice—supporting pre-sales, developing capability, and defining best practice. This role requires a blend of deep finance domain expertise, strong architectural thinking, and the ability to lead teams and influence at Board and CFO level. What you’ll be doing Own end-to-end SAP S/4HANA Finance solution architecture across Record-to-Report and related finance processes Lead discovery, Fit-to-Standard and design workshops with senior finance stakeholders (FD, CFO, Finance Transformation leads) Define scalable, sustainable solution designs aligned to SAP best practice and client objectives Provide architectural leadership across complex, multi-module programmes (FI/CO integrated with MM, SD, PS, etc.) Oversee delivery quality, including design governance, integration approach, and key solution decisions Lead and support pre-sales activities, including solutioning, estimations, demos, and RFP/RFI responses Present compelling, value-led finance transformation solutions to prospective and existing clients Act as a senior escalation point for delivery teams, providing guidance on complex functional or architectural challenges Mentor and develop consultants, leads, and architects within the Finance practice Contribute to practice growth through development of accelerators, assets, and repeatable delivery models Support strategic initiatives, innovation, and capability building aligned to SAP’s roadmap What we’re looking for Essential experience Extensive SAP Finance consulting experience, including multiple S/4HANA implementations Proven experience operating at Solution Architect or senior functional lead level on large-scale programmes Deep expertise across SAP FI/CO (GL, AP, AR, AA, CO) and end-to-end Record-to-Report processes Strong understanding of finance integration points across SAP (MM, SD, PS and beyond) Experience designing and governing complex, enterprise-wide SAP Finance solutions Strong knowledge of S/4HANA capabilities including Fiori, embedded analytics, and standard reporting Demonstrable experience in pre-sales, including solution design, client presentations, and commercial input Ability to engage, influence, and challenge senior stakeholders, including CFO-level Strong leadership capability, with experience mentoring and guiding delivery teams Experience working within structured delivery methodologies (e.g. SAP Activate, Agile) Excellent communication skills, with the ability to translate complex concepts into clear business outcomes Desirable experience Exposure to Treasury (TRM), Joint Venture Accounting (JVA), or Project Systems Experience across public cloud, private cloud, or hybrid SAP landscapes Experience building and scaling delivery capability within a consulting practice Involvement in strategic initiatives, innovation programmes, or proofs of concept Experience across multiple industries and client environments

Director – SCM A bit about the role As Director – SAP S/4HANA Supply Chain, you will operate at Solution Architect level, leading the design and delivery of complex, end-to-end supply chain transformation programmes. This is a highly strategic, client-facing role where you will act as a trusted advisor to senior stakeholders—owning solution architecture across planning, procurement, manufacturing, logistics and fulfilment, and guiding organisations through S/4HANA transformation journeys. Alongside delivery, you will play a key role in developing and growing the Supply Chain practice—supporting pre-sales, shaping capability, and defining best practice. This role requires deep supply chain process expertise combined with strong architectural thinking, leadership, and the ability to influence at executive level. What you’ll be doing Own end-to-end SAP S/4HANA Supply Chain solution architecture across procurement, planning, manufacturing, warehousing, logistics and fulfilment Lead discovery, Fit-to-Standard and design workshops with senior business stakeholders across supply chain and operations Define scalable, integrated solution designs aligned to SAP best practice and client transformation objectives Provide architectural leadership across complex, multi-module programmes spanning MM, SD, PP/MRP, EWM/WM, TM and planning solutions (e.g. IBP) Drive end-to-end process design and operating model alignment across the supply chain value chain Oversee design governance, integration strategy, and key architecture decisions across large programmes Lead and support pre-sales activities, including solutioning, estimations, demos, and RFP/RFI responses Present clear, value-led transformation roadmaps and solution designs to prospective and existing clients Act as a senior escalation point for delivery teams on complex functional or architectural challenges Mentor and develop consultants, leads and architects within the Supply Chain practice Contribute to practice growth through development of assets, accelerators, and repeatable delivery models Support strategic initiatives, innovation, and capability building aligned to SAP’s product roadmap What we’re looking for Essential experience Extensive SAP Supply Chain consulting experience, including multiple end-to-end S/4HANA implementations Proven experience operating at Solution Architect or senior functional lead level on large-scale transformation programmes Deep expertise across core supply chain domains, including procurement (MM), planning (MRP), manufacturing (PP), and logistics/fulfilment Strong understanding of cross-module integration across SAP (SD, EWM/WM, TM, FI/CO and planning platforms) Experience designing and governing complex, enterprise-wide SAP supply chain solutions Strong knowledge of S/4HANA capabilities, including Embedded MRP, Fiori, and standard best practices Demonstrable experience in pre-sales, including solution design, client presentations, and commercial input Ability to engage, influence and challenge senior stakeholders, including Operations and Supply Chain leadership Strong leadership capability, with experience mentoring and guiding delivery teams Experience working within structured delivery methodologies (e.g. SAP Activate, Agile) Excellent communication skills, with the ability to translate complex supply chain concepts into business outcomes Desirable experience Experience with advanced supply chain solutions such as SAP IBP, EWM, TM, or Ariba Exposure to global template design, process harmonisation, and multi-country deployments Experience across public cloud, private cloud, or hybrid SAP landscapes Experience building and scaling delivery capability within a consulting practice Involvement in strategic initiatives, innovation programmes, or proofs of concept Experience working across multiple industries (e.g. manufacturing, consumer goods, energy, retail)

Tech Lead – Agentic AI Systems Experience: 7–8 Years Location: Bangalore Education: B.Tech / M.Tech from a premier institute Role Overview We are looking for a Tech Lead to lead the technical development and delivery of enterprise-grade Agentic AI systems built on LLMs and modern orchestration frameworks. This role combines hands-on programming, development with system architecture ownership, and technical leadership. The ideal candidate will be responsible for designing, building, and deploying intelligent AI workflows, managing integrations with enterprise systems, and ensuring that solutions are secure, scalable, and production-ready. The role also involves guiding engineering teams, establishing architectural standards, and ensuring high-quality technical execution across projects. This is a technical ownership role suited for someone who can independently manage complex AI system implementations and drive reliable delivery from a technical standpoint. Key Responsibilities AI System Development Design and build Agentic AI workflows using modern LLM orchestration frameworks. Develop intelligent systems that combine LLM reasoning, structured workflows, and external tools or APIs. Implement production-grade AI products using Python-based backend frameworks. Integrate LLM/SLM models into enterprise applications with strong reliability and performance considerations. Architecture & Technical Leadership Own the technical architecture for AI systems and ensure alignment with scalability, security, and maintainability best practices. Lead technical design discussions and guide engineering teams on system architecture and implementation decisions. Establish standards for code quality, modularity, testing, and deployment. AI Platform Engineering Build and manage systems using modern LLM orchestration and observability frameworks. Implement evaluation, monitoring, and debugging workflows for LLM-based systems. Ensure efficient model usage and performance optimization for AI services. Enterprise Integration & APIs Design and maintain secure and well-documented APIs for integration with enterprise systems. Develop scalable backend services supporting AI-driven workflows. Maintain clear API documentation and integration guidelines for internal and external stakeholders. Ensure high reliability and fault tolerance in system integrations. Security & Governance Implement cybersecurity best practices in AI systems, including secure API design, authentication mechanisms, and data protection measures. Ensure compliance with enterprise security standards and secure coding practices. Maintain auditability and observability of AI-driven workflows. Technical Delivery Ownership Take ownership of technical delivery across AI projects, ensuring solutions are robust, maintainable, and aligned with business objectives. Work closely with product, data science, & engineering teams to translate requirements into scalable technical implementations. Identify potential technical risks and proactively propose solutions or architectural improvements. Required Technical Skills System Design: Ability to design scalable and maintainable backend architectures for AI-powered applications. Programming: Strong proficiency in Python with experience building backend services and AI asynchronous systems. LLM Systems: Experience working with Large Language Models (LLMs) or Small Language Models (SLMs) in application development. Agentic Frameworks: Hands-on experience with LangGraph or similar agent orchestration frameworks. Observability: Experience with AI observability and evaluation tools such as Langfuse or similar frameworks. AI Infrastructure: Familiarity with Model Context Protocol (MCP) or related tool-based LLM architectures. API Engineering: Strong understanding of FAST API design, authentication mechanisms, and API lifecycle management. Software Engineering Practices: Experience with version control, testing, CI/CD pipelines, and modern software development workflows. Preferred Experience Experience working on enterprise AI platforms or AI-driven SaaS products. Exposure to multi-agent systems, workflow orchestration. Experience implementing AI systems that interact with enterprise data systems or APIs. Familiarity with distributed system design & cloud-native development environments.

The Position:Position Title: Lead Data ScientistLocation: Bangalore (On-site)Experience: 5–8 yearsJob Description:• Understand business problems from an analytical and statistical standpoint and define problem statement(s).• Identify data requirements and perform exploratory data analysis to discover trends and patterns.• Perform pre-processing of structured and unstructured data.• Build, evaluate, and improve predictive models and machine learning algorithms.• Collaborate with engineering and product development teams for product enhancement.• Identify statistical techniques to improve data engineering and model-building processes.• Conduct research to improve machine learning model performance. Required Skills and Qualifications:• Master’s in Statistics/Mathematics/OR/Economics or Bachelor’s in Engineering or MBA in Business Analytics/Data Science.• Strong hands-on experience in Python is a must; PySpark and SQL preferred but not mandatory.• 5–8 years of work experience in the BFSI domain.• Strong communication and presentation skills.• Research-oriented mindset with the ability to conduct independent research and validate findings.• Solid applied statistics, mathematics, and algebra skills.• Strong understanding of machine learning algorithms.• Experience in supervised and unsupervised ML algorithms, neural networks, deep learning, and time-series forecasting.

Our client is a leading SAP consulting and digital transformation partner committed to delivering innovative, high-impact solutions across enterprise analytics, cloud, and intelligent business platforms. As enterprises modernize their data landscapes, the role of traditional data warehousing is rapidly evolving into scalable cloud-native Data Lakehouse architectures. Client is expanding its modern data engineering capabilities to help customers integrate enterprise data from SAP and non-SAP ecosystems, build advanced analytics platforms, and enable future-ready AI-driven solutions. We are looking for an accomplished Databricks Lakehouse Architect / Cloud Data Engineering Leader who can play a key role in this transformation journey — designing modern data platforms, leading cloud data engineering initiatives, and bridging enterprise analytics with next-generation technologies. The ideal candidate will combine strong hands-on expertise in Databricks, Spark/PySpark, Delta Lake, and Azure/AWS cloud platforms with the ability to engage customers, architect solutions, guide engineering teams, and drive successful delivery. Role Overview:We are looking for a hands-on Data Engineering leader who can architect modern cloud data platforms using Databricks Lakehouse and lead solution design, delivery, and engineering teams. This role requires strong technical ownership rather than a pure people management background. Key Responsibilities:• Architect scalable Data Lakehouse platforms• Own solution design, estimation, architecture reviews and client discussions• Build and optimize enterprise data pipelines• Provide technical guidance to data engineering teams• Establish best practices around performance, governance and architecture Must Have - Databricks Architecture:• Databricks Lakehouse design• Delta Lake implementation• Apache Spark / PySpark engineering• Medallion architecture (Bronze/Silver/Gold layers)• Data pipeline optimization• Unity Catalog and data governance exposure Cloud Platform Expertise (depth in one required):Microsoft Azure:• Azure Databricks• Azure Data Factory (ADF)• Azure Data Lake Storage (ADLS)• Azure Synapse AnalyticsORAmazon AWS:• Databricks on AWS• Amazon S3• AWS Glue• Redshift• Athena Good to Have:• Snowflake• ML Engineering exposure• Cloud/Data Engineering certifications Ideal Candidate:A hands-on architect who can talk to customers, design solutions, estimate projects, guide engineers and review architecture while helping build a modern Data Engineering practice.

Job Summary The Associate Director – SAP BW/HANA plays a critical role in leading and managing SAP BW/4HANA initiatives within the organization. This position combines strategic planning, project execution, and team leadership to drive data analysis, reporting, and business insights. The ideal candidate will leverage their extensive experience and technical expertise to optimize data solutions that enhance decision-making processes across the company. Key Responsibilities Lead the design, development, and implementation of SAP BW/4HANA solutions to meet business requirements. Collaborate with cross-functional teams to ensure seamless data integration and reporting across platforms. Oversee ABAP development and SQL scripting to enhance data processing and analytics capabilities. Drive the utilization of SAP Analytics Cloud, Power BI, and Tableau for visualization and reporting purposes. Manage cloud deployments and data integration processes within HANA Cloud and Snowflake environments. Mentor junior team members and provide guidance on best practices and technologies. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 12 to 15 years of extensive experience in SAP BW/4HANA and data analytics. Strong proficiency in ABAP Development, SQL Scripting, and data integration techniques. Demonstrated experience with HANA Cloud solutions and SAP certification in BW/4HANA. Preferred Qualifications Experience with data visualization tools such as Power BI and Tableau. Familiarity with Snowflake and its integration with SAP platforms. Strong analytical and problem-solving skills, with a focus on data-driven decision-making. Excellent communication and leadership skills, with the ability to collaborate effectively across teams.

What You'll Do ✔ Build advanced statistical and econometric models to drive pricing and promotion strategies ✔ Develop and deploy Hierarchical Bayesian Models for commercial decision-making ✔ Analyze large-scale Retail POS and syndicated data to generate actionable business insights ✔ Design solutions around: Price Elasticity Promotion Effectiveness Revenue Growth Management (RGM) Price-Pack Architecture (PPA) Assortment & Portfolio Optimization ✔ Present complex analytical findings to senior business stakeholders in a simple, impactful manner ✔ Collaborate with commercial, marketing, sales, and category management teams across global markets What We're Looking For ✅ Master's degree in Statistics, Econometrics, Mathematics, Data Science, Economics, Operations Research, or a related quantitative discipline ✅ 8+ years of experience in advanced analytics, preferably within CPG/FMCG environments ✅ Strong expertise in: Econometric Modeling Statistical Modeling Hierarchical Bayesian Modeling Pricing & Promotion Analytics Revenue Growth Management ✅ Proven experience building models using Retail POS / Scanner Data ✅ Ability to communicate technical concepts effectively to non-technical audiences ✅ Strong consulting and stakeholder management skills Why Consider This Opportunity? ???? Work on high-impact commercial analytics problems for global CPG brands ???? Influence strategic pricing and growth decisions worth millions of dollars ???? Collaborate with stakeholders across Europe and North America ???? Join a high-caliber analytics team solving cutting-edge business problems