Master Data Management Manager Jobs

- 8+ years of SAP experience with strong expertise in SAP MDG (Master Data Governance), including Solution Architecture, Data Models, Workflows, Integrations, and SAP S/4HANA. - Hands-on experience in SAP MDG technical development using ABAP, OO ABAP, Workflow, BADI, User Exits, CDS, UIBB, Data Model Enhancements, Derivation, Validation, and Debugging. - Proven experience in end-to-end SAP MDG implementations, including requirement gathering, technical design, development, testing, UAT, cutover, Go-Live, and post-production support. - Strong knowledge of Data Quality Management (DQM) with the ability to design, implement, and optimize master data governance solutions. - Excellent stakeholder management and communication skills. Techno-functional profile only (Functional consultants will not be considered). Immediate to short notice joiners preferred.

At Kailera, we are bold, authentic and committed to our mission of developing therapies that give people the power to transform their lives and elevate their overall health. Rooted in an entrepreneurial spirit and a team-oriented culture, we are working together to advance Kailera’s mission to advance novel therapies for obesity and related conditions. We are passionate about creating an inclusive workplace that promotes collaboration, integrity, and excellence. As we expand, we seek the most talented individuals with diverse backgrounds, cultures, perspectives, and experiences to join our team. What You’ll Do: Kailera Therapeutics is seeking an experienced Data Management professional to join as Director, Data Management. This role is accountable for the timely delivery and high-quality execution of Data Management deliverables across early- and late-phase clinical trials. The Director partners closely with key study stakeholders to define and implement a clear, comprehensive data strategy for assigned programs and studies. This position reports directly to the Head of Clinical Data Management. Required location: Waltham, MA (hub-based, onsite 3-4 days per week) Responsibilities: Lead vendor oversight activities across global development programs, ensuring alignment between Kailera and CROs on all data management deliverables. Provide program-level leadership and oversight of clinical data management activities; monitor and report on program and study progress. Represent the Data Management function on the study team, fostering cross-functional collaboration and clear expectations. Monitor vendor performance and quality metrics, escalate issues to management, and drive resolution strategies. Proactively identify risks and develop and implement mitigation or corrective action plans. Ensure Data Management Trial Master File (TMF) documentation is filed accurately and maintained in an inspection-ready state. Support study-level inspection readines

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Expectation: • Working closely with vertical product managers/ business leads to understand product use cases, customer journeys, business applicability and impact of each use case. • Ability to understand different technology platforms, their features and be able to work with solution architects/engineering leads and write detailed product requirement documents, manage future roadmaps and deliverables • Make sure that clear, simple, and technically sound decisions are made • With your strong domain knowledge of lending platforms, we expect you to provide your subject matter expertise in requirements solutioning • Ability to work with multiple stakeholders / senior management / cross-functional teams to influence them for quicker decisions, manage sudden technical roadblocks and be able to clear them • Lead product team processes (Agile/Scrum) and manage expectations and track roadmap regularly • Be involved in what your team is building - Run edge cases, test products proactively and its features to provide feedback early in the cycle, make sure entire journeys are covered, and that product reporting exists to track KPIs for the product and its success (data-driven product management). Superpowers that will help you succeed in this role: • Bachelor’s degree in engineering, computer science and/or related field • Professional experience in a product management or analytical role with hands on experience in banking processes • Having deep understanding of Lending in Product Management role building credit platform products Knowledge of Fintech/ BFSI/ Lending domain • Exp should be in between 2 - 4 years, out of whi

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the Expert Solution Architect for Supply Chain Management, you will serve as the principal visionary shaping Everpure’s global operational blueprint on the S/4HANA platform. Operating as a premier individual contributor, you will navigate highly complex, unique ecosystem variables to align multi-faceted business strategies with cutting-edge technical architecture. By building collaborative formal networks across Logistics, Manufacturing, Procurement, and broader IT squads, you will establish the technical governance and "clean core" strategies needed to scale Everpure’s global infrastructure for next-generation technology demands. WHAT YOU'LL DO Architect the Global SCM Blueprint: Act independently to design and govern end-to-end supply chain solution architectures, mapping complex business strategies to standard S/4HANA capabilities while rigorously enforcing "fit-to-standard" principles to minimize technical debt. Drive Platform Strategy & Roadmap: Establish the long-term technical direction and evaluation criteria for corporate supply chain platforms, visualizing intricate platform dependencies and defining robust governance models for critical master data. Orchestrate Seamless Ecosystem Integration: Lead the architectural design of resilient interfaces connecting core ERP modules, third-party logistics (3PL) networks, and manufacturing execution systems (MES). Govern Delivery Quality: Define cross-funct

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. About the role We're looking for product managers who think deeply about consumers and move fast. You'll own a meaningful area of product used by a large and diverse set of Indian consumers, making decisions that show up in people's hands within weeks. This is a role for builders who treat ambiguity as opportunity. What you'll do You'll own the strategy and execution for your product area end to end — from identifying the right problem to shipping and iterating. You'll spend real time understanding users (not just reading research decks), translate insight into crisp product bets, and partner closely with design, engineering, and business to ship. You'll be measured on outcomes, not output, and you'll be expected to drive your area with minimal hand-holding. What we're looking for ● 3–8 years of experience, ideally in entrepreneurship, building consumer products or top-tier consulting. ● Strong consumer intuition — you have opinions about why products work, and you can defend them with both logic and evidence. ● High agency. You define the problem, find the path, and get it done without waiting for permission. ● Sharp analytical and structured thinking, balanced with a bias for action. ● Comfort operating in a fast-paced, high-ownership environment where speed and judgment both matter. Why this matters You’ll be at the cutting edge of tech and finance. You'll build for one of the largest and most diverse consumer bases in the world, ship at scale and at pace. The problems are hard, the impact is immediate, and the autonomy is real. Why join us? ● A collaborative output driven program that brings cohesiveness across

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. About the role We're looking for product managers who think deeply about consumers and move fast. You'll own a meaningful area of product used by a large and diverse set of Indian consumers, making decisions that show up in people's hands within weeks. This is a role for builders who treat ambiguity as opportunity. What you'll do You'll own the strategy and execution for your product area end to end — from identifying the right problem to shipping and iterating. You'll spend real time understanding users (not just reading research decks), translate insight into crisp product bets, and partner closely with design, engineering, and business to ship. You'll be measured on outcomes, not output, and you'll be expected to drive your area with minimal hand-holding. What we're looking for ● 3–8 years of experience, ideally in entrepreneurship, building consumer products or top-tier consulting. ● Strong consumer intuition — you have opinions about why products work, and you can defend them with both logic and evidence. ● High agency. You define the problem, find the path, and get it done without waiting for permission. ● Sharp analytical and structured thinking, balanced with a bias for action. ● Comfort operating in a fast-paced, high-ownership environment where speed and judgment both matter. Why this matters You’ll be at the cutting edge of tech and finance. You'll build for one of the largest and most diverse consumer bases in the world, ship at scale and at pace. The problems are hard, the impact is immediate, and the autonomy is real. Why join us? ● A collaborative output driven program that brings cohesiveness across

A CAREER WITH POINT72’S DATA SOURCING TEAM: We are looking for a Market Data Operations Associate to join our Enterprise Data Sourcing Team to help manage day-to-day market data operations around data governance, entitlement management, and market data support. In this role, you will support our expanding data requirements and strategic business initiatives around firmwide market data. What you’ll do: Manage and monitor market data and service change notifications from exchanges and other key market data suppliers Identify any gaps in market data usage and coverage and provide proper licensing recommendations Administer and manage market data entitlements for market data feeds (e.g. TREP, BPIPE) and terminals (e.g. Bloomberg Terminals, FactSet Workstation, CapIQ) Help manage exchange audits to fulfil their requirements, including working with usage statistics via SERS / DACS / EMRS reports Help ensure the firm’s market data access and usage is compliant with licensing agreements Help manage the full lifecycle of market data exchange contracts and renewals, including tracking of user inventory and key commercial terms Help provide additional ad-hoc administrative support around the firm’s market data operations, including invoice reconciliation, internal reporting, etc. What’s required: Bachelor’s or Master’s degree in finance, economics, computer science, business, or related field (with a strong academic record). 4+ years of experience in market data management within a financial services or trading environment. Strong understanding of exchange data licensing, entitlements, and governance policies. Familiarity with market data platforms, feed technologies, and integration processes. Knowledge of global trading markets and regulatory requirements. Strong problem-solving skills with the ability to anticipate issues and propose solutions. Detail-oriented with the ability to track policy changes and ensure operational compliance. Proj

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, wh

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

Education: Master or Bachelor’s degree in computer science, information systems management or related field. Solution and Architecture certifications such as TOGAF or other. Experiences: More than 12+ years of experience in information technology, with 8+ years spent in data architecture or technology solutions definitions and implementations. Extensive experience in banking and financial services domain Knowledge & Skills: Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification Experiences in cloud native principals, designs and deployments. Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival Define workload migration strategies using appropriate tools Drive delivery in a matrixed environment working with various internal IT partners Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously Must be able to work independently and have skills in planning, strategy, estimation, scheduling, Strong problem solving, influencing, communication, and presentation skills, self-starter Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.) Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenki

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. As a Data Solutions Architect , you will lead the strategy, architecture and delivery of enterprise-scale data and analytics solutions for our clients. Working across data architecture, software engineering, cloud platforms, analytics engineering and client advisory, you will translate business priorities into secure, scalable, well-governed and cost-effective solutions. You will partner with executive stakeholders, business leaders and technical teams to define data roadmaps and target-state architectures, evaluate technology options and guide delivery from proposal and estimation through to implementation, enablement and support. You will help clients modernise fragmented data environments and establish trusted data products, intuitive analytics experiences and reusable engineering capabilities that deliver measurable business value. This role also provides technical leadership across multiple projects and teams. You will mentor engineers, facilitate architecture reviews and technical workshops, establish standards and best practices, and act as a trusted adviser who can challenge assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytic

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary : As an Industrial Engineer, you will leverage advanced analytics and AI tools to perform capacity analysis, propose strategies to management, and execute plans that support volume forecasts across tactical and long-term horizons. In this role, you will collaborate with Central Planning, Factory Network, and Supply Chain teams to develop scenarios and pursue strategic opportunities for the site. Candidates with hands-on experience or strong familiarity with Generative AI, Agentic AI, or other AI-driven solutions will stand out as innovators ready to shape the future of planning Main Responsibilities : Maintain and validate capacity model and capital plan to enable accurate assessment of cost effective factory loading needs Coordinate tool installation and location with facilities personnel and area engineers Leverage AI in applying novel and relevant industrial engineering and data engineering skills to master data modeling, advance capacity optimization and optimize capital scheduling Deploy effective project management and constraint debottlenecking strategies facilitating factory achievement of manufacturing Statement of Supply commits in the tactical horizon </

To manage Oracle–SAP HR data integration and resolve employee master data issues. To provide reliable HR reports and MIS for operational control, audits, and management review. Source: Adani Group | Job ID: 49273

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Plan and manufacture execution support of new products from an early plan phase through production ramp. Partner with stakeholders and organizations across a global enterprise that include but are not limited to Supply Chain Operations Leads, Procurement, and various Manufacturing & Product Engineering teams. Align these teams to an NPI production plan via enterprise planning systems while closely monitoring timely execution of internal and external customer sampling requirements. Collaborate with engineering and business teams to validate NPI demand. Ensure specific requirements are understood and detailed. Monitor and validate master data completeness and accuracy (parts and BOMs). Validate information required to generate an accurate supply response, including yields, cycle time, site loading, capacity boundary conditions, ensure a good build signal is received by manufacturing for capacity and materials planning. Employ Enterprise Resource Planning (ERP) solutions to produce a weekly build plan that meets the business need. Confirm manufacturing teams reserve capacity and purchase direct materials to support NPI needs. Bring awareness of supply shortages and capacity constraints to appropriate partners. Resolve supply gaps where possible. Employer will accept a Bachelor’s degree in Supply Chain Management, Operations Management, Industrial Engineering or related field and 24 months of experience in job offered or in a related occupation. Position requires: 1. Supply demand optimization 2. SAP-ERP 3. Data analytics