Lead Data Analytics Engineer Jobs

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

Lead AI Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description We are seeking an experienced Lead AI Engineer with deep expertise in Micro

What happens when you have fascinating clients with challenging problems on the one hand and passionate software developers looking to build future-focused solutions on the other? This in-between is where Business Analysts reside, acting as a bridge between the client and team. You will establish the outcomes software must achieve, assess how it will be used, and then generate bold ideas with our developers to create custom applications. You will work with clients across a variety of sectors and ensure the business-critical software solutions we develop deliver real business value every time. Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore. Job responsibilities Understand a client's business problems in order to build, maintain, and evolve product roadmaps to generate impactful solutions Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes You will assess the as-is situation and collaborate with clients to create artifacts (personas, epics, stories, etc.) to maximize value You will facilitate analysis workshops through “innovation games” with senior client stakeholders to outline business vision, objective, product roadmap and a project release plan. You will help companies from a variety of industries achieve true, differentiating outcomes and engage with and influence senior business stakeholders on the client side. You will liaise between the client and your team, consisting of SMEs, C-suite executives, developers, quality analysts, tech architects, user experience designers, project managers, etc to manage the product backlog and keep an eye on software delivery You will work in agile teams that facilitate organizational transformations for medium- and large-scale businesses You will be involved in the Analyst community to share knowledge, mentor and evangelize

Role Overview We are seeking an experienced Lead Capital Markets Consultant to lead functional consulting and solution delivery for commodities trading and risk management platform implementations. The candidate will bring deep knowledge of physical and financial commodity trading, extensive experience in Commodity Trading and Risk Management (CTRM) or Energy Trading and Risk Management (ETRM) systems, and a proven track record of delivering complex technology transformation programmes. The role involves leading business and functional workstreams, defining target-state processes and solution architectures in collaboration with technical architects, driving platform configuration and integration, and ensuring alignment between business requirements and technology solutions. The successful candidate will act as a trusted advisor to business and technology stakeholders, including traders, risk managers, operations, scheduling, finance, and senior management. They will be expected to take ownership of implementation outcomes, manage delivery risks, mentor consultants, and contribute to business development and practice growth where applicable. Key Responsibilities Commodities Domain Leadership Demonstrate comprehensive knowledge of physical and financial commodities trading across one or more asset classes, including crude oil, refined products, natural gas, power, LNG, metals, or agricultural commodities. Advise clients on end-to-end commodities trading processes, including deal capture, contract management, scheduling, logistics, inventory, valuation, risk management, invoicing, settlement, and accounting. Understand complex commodity contracts, structured deals, pricing formulas, market indices, optionality, delivery obligations, and financial instruments. Provide functional expertise across trading, middle-office, risk, operations, scheduling, and finance processes. Analyse existing operating models, identify process inefficiencies and control gaps, and recommend s

Role Overview: Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking. This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset , emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities. Key Responsibilities: AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability. Agentic Systems: Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs). Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot). Iterative Delivery: Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement. Evaluation & Optimization: Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior. Emerging Technologies: Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies. Technical Collaboration: Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers. Domain Alignment: Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes. Qualificatio

Lead Software Engineer-Simulation Company: The Boeing Company The Boeing Company is currently seeking a Lead Software Engineer-Simulation (Level 5) to join the Flight Simulation | Labs team located in Berkeley, MO. Flight Simulation | Labs provides comprehensive simulation and laboratory solutions for the design, development, and deployment of Boeing Defense Systems products. This position is for a Lead Software Developer on the Test Development Kit (TDK) project on the Flight Simulation Core Software team. TDK is a simulation architecture and toolset which comprises the core Modeling & Simulation infrastructure for multiple current and future generation Boeing defense platforms. The TDK product is critical to the success of the supported programs. The TDK Lead Software Engineer will lead the design, architecture, and development of the TDK framework, models and tools to facilitate the testing and analysis needs of the programs. The Lead Software Engineer will serve as a subject matter expert on the TDK product and simulation in general, and as a customer facing technical expert for the Flight Simulation | Labs (FSL) TDK product and capabilities. Position Responsibilities: Oversees the design, architecture, and development of simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle. Partners with stakeholders to advise on the review and identification of simulation requirements and dynamics of the systems being simulated. Oversees the design

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Job Description Summary Job Summary: ============================= Providing Innovative, Secure, and Reliable Switching Solutions is the lifeblood of Mastercard Core Products, we are currently seeking a passionate, collaborative, and experienced software engineer to join the Payment Networks Team. Are you a collaborator capable of communicating effectively with Business and IT stakeholders across all organizational levels? Are you an innovator who embraces, adopts, and studies the latest technology to solve challenging business problems? Are you a leader who inspires the team to think “out of the box” and effectively communicates across all levels of the organization? If this describes you, Mastercard wants to talk to you about the creation of our new agile development team that will support Network Access solutions within the Payment Networks organization. About the Role: =================================== - Ensure quality of one or more application codebases and alignment with development standards. - Applies technical capabilities within own discipline to coach and develop junior employees. - Assists in vendor assessment and evaluates and recommends software development tools. - Designs highly complex applications, interfaces and integration with a mod

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Bring your heart to CVS Health At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As a Lead Director of Quality Management, you will provide strategic leadership, oversight, and execution of quality improvement, regulatory quality programs, provider performance initiatives, accreditation activities, and population health strategies that support Kentucky Medicaid members and providers. This role serves as the market quality leader and is responsible for driving measurable improvements in quality outcomes, member experience, health equity, provider engagement, and regulatory performance while aligning market activities with enterprise Medicaid quality objectives. Primary Responsibilities Lead development and execution of the Kentucky Medicaid Quality Strategy. Direct quality improvement initiatives focused on regulatory, contractual, and enterprise quality objectives. Drive performance improvement efforts for HEDIS®, QRS, state quality metrics, value-based incentives, and market-specific performance goals. Provide leadership and oversight for Quality Assessment and Performance Improvement (QAPI) activities. Oversee regulatory quality reporting, state deliverables, and Performance Improvement Projects (PIPs). Ens

We are looking for a highly experienced NodeJS Developer to join our Digital Business team in Ahmedabad. The ideal candidate should have a strong background in JavaScript/TypeScript, building server-side applications using node web server frameworks such as Nest, Express, Fastify, or Hapi, and working with technologies like RxJs, Mongo DB, Redis, and payment systems. As a NodeJS Developer, you will be responsible for ensuring outstanding service delivery, implementing robust systems, and optimizing performance Source: Adani Group | Job ID: 60338

This role is responsible to uphold and enhance the quality and integrity of mechanical components and systems through rigorous inspection and testing procedures. This includes coordinating for site inspections, conducting tests, overseeing boiler and pressure part surveys, and managing welder qualifications. The role also involves preparing and reviewing quality assurance plans and field quality plans, as well as leading quality training sessions to ensure high standards of workmanship and engineering practices. Source: Adani Group | Job ID: 60284

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Lead EDD to give a critical Enhanced Due Diligence process dedicated operational leadership. Your focus will be on operational excellence: delivering consistent, high-quality production, developing a growing team and continuously improving how we work. You will report to Florence, Anti-Financial Crime Director (Western Europe), and lead Qonto’s EDD production team. Working closely with KYC/KYB, Operations and Anti-Financial Crime stakeholders—including colleagues responsible for regulatory and project-related matters—you will translate agreed requirements into effective day-to-day practices and give the team the support, guidance and production visibility it needs to succeed. ➡️ What you'll do Lead production with rigor: organize daily workloads, m

REQ ID: FEQ227R147 Location: Germany (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for do

REQ ID: FEQ227R147 Location: France (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for dom

REQ ID: FEQ227R147 Location: Sweden (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for dom

REQ ID: FEQ227R147 Location: Netherlands (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches fo