259 Metadata Management Jobs

As a Data Catalog Developer specializing in the Alation platform at Ciena, you will play a pivotal role in designing, developing, and implementing data catalog solutions. Collaborating with cross-functional teams, you will ensure that data catalog initiatives meet business needs and enhance data quality across the organization. Your expertise in data catalog development will be critical in improving data management capabilities and supporting strategic decision-making. Partnering With Business Teams You will collaborate with data owners, stewards, and business leaders to gather requirements and define data catalog strategies aligned with business objectives. Acting as a key technical resource between business units and IT teams, you will ensure seamless integration of data catalog solutions with existing systems and processes. Providing guidance and best practices on data modeling, data governance, and data catalog lifecycle management, you will drive user engagement, adoption, and continuous design and configuration across the Alation data catalog program. Project Execution Your responsibilities will include developing and implementing data catalog solutions on the Alation platform, adhering to best practices and industry standards. You will create technical specifications, design documents, and implementation plans for data catalog projects, ensuring timely delivery and high-quality outcomes. Effectively communicating technical concepts to both technical and non-technical audiences is essential for ensuring alignment and understanding across teams. You will also be responsible for system testing, resolving defects, facilitating discussions around business issues, and engaging relevant resources related to data and integration. Metrics For Success Collaborating with business and IT partners, you will define key performance indicators (KPIs) for data catalog initiatives to align with organizational goals. Establishing data quality metrics to measure the accuracy, consistency, and completeness of data within the catalog will be crucial. Tracking data catalog adoption metrics and their impact on business processes and decision-making, as well as gathering and analyzing stakeholder feedback to continuously enhance data catalog processes and solutions will be part of your success metrics. The Must Haves Education: - Bachelors or masters degree in Computer Science, Information Systems, Data Management, or a related field. Experience: - Minimum of 3-5 years of experience in data catalog development, specifically with the Alation platform, demonstrating a successful track record in delivering data catalog projects. Functional Skills - Good understanding of data governance frameworks and methodologies, including data lineage, metadata management, MDM, Reference Data Management, and compliance with data privacy regulations. - Strong understanding of data catalog and data dictionary principles, data management best practices, data quality management, and data governance practices within an Alation environment. - Experience in data querying, profiling, data cleansing, and data transformation processes. Alation Technical Skills - Subject Matter Expert for the Alation platform. - Expertise in configuring the Alation Data Model, data lineage, metadata management. - Proficient in working with Alation APIs. - Experience in managing Reference Data Management (RDM), User Management, UI Config, workflows, loading/exporting data, and optimizing processes. - Design, data modeling creation, and management of large datasets/data models. - Hands-on experience with on-boarding metadata from various sources. General Skills - Excellent verbal and written communication skills. - Strong analytical and problem-solving skills. - Experience with Agile project management methodologies and tools. Assets - Additional experience in MDM space working on Reltio platform. - Knowledge of Cloud storage solutions. - Experience with programming languages like Java, Python, JavaScript, API protocols, and data formats. - Experience with data warehouses and data visualization tools. Ciena is an Equal Opportunity Employer that values diversity and respects its employees. Accommodation measures are available upon request. Join our Talent Community for job alerts.,

At PwC, the focus in software and product innovation is on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in this role deliver innovative software products and solutions. In the testing and quality assurance department at PwC, the primary focus is on evaluating systems or software applications to identify defects, errors, or gaps in functionality. This involves executing various test cases and scenarios to ensure that the system meets specified requirements and performs as expected. As an individual in this role, you are expected to be driven by curiosity and be a reliable, contributing member of a team. In a fast-paced environment, adaptability is key as you will work with a variety of clients and team members, each presenting unique challenges and scope. Every experience is viewed as an opportunity for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is essential. As you progress through the Firm, you have the opportunity to build a brand for yourself, opening doors to further opportunities. Some of the key skills, knowledge, and experiences required to excel in this role include: - Applying a learning mindset and taking ownership for personal development - Appreciating diverse perspectives, needs, and feelings of others - Adopting habits to sustain high performance and develop potential - Actively listening, asking questions for clarity, and expressing ideas clearly - Seeking, reflecting on, acting on, and providing feedback - Gathering information from various sources to analyze facts and discern patterns - Committing to understanding how the business operates and developing commercial awareness - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements Oracle EPM Hyperion Testing Senior Associate Job Description: We are seeking a Testing resource with experience in testing Oracle Hyperion applications, particularly with a strong technical skill set in leading and executing end-to-end testing activities for Hyperion Essbase and Planning. The role involves creating Manual and Automation scripts as per client requirements, with a focus on test planning, execution, automation, and defect management for PBCS and Essbase modules. Additionally, responsibilities include configuration, test script execution, test data creation, performing proof of concept, building user training materials, and supporting testing milestones. Qualifications and Skills required for this role include: - Bachelor's degree in computer science, Information Technology, or a related field - 6-9 years of experience in Testing of Oracle Hyperion for PBCS, Essbase modules - 4-6 years of experience in Automation Testing - 6-7 years of experience in Manual Testing - Deep functional knowledge of Hyperion Essbase and Planning applications, especially PBCS, Essbase - Experience in SmartView Retrieve and analysis - Excellent communication skills and ability to interact with external teams or clients - End-to-end implementation experience in EPM cloud/on-prem applications - Strong expertise in test management, defect tracking, and reporting tools - Experience with Agile methodologies and DevOps practices - Ability to work effectively as a team member or independently, and mentor and guide junior testers - Exceptional analytical and problem-solving skills Additional Information: - Travel Requirements: Travel to client locations may be required as per project requirements - Shift Requirements: May be required to work on shifts as per project requirements - Line of Service: Advisory - Industry: Testing Managed Services - Designation: Senior Associate - Location: Bangalore, India This role presents an opportunity for individuals with the right skills and experience to contribute to cutting-edge software solutions and product innovation while ensuring the quality and functionality of systems and applications.,

Your Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL). Collaborate with solution teams and Data Architects to implement data strategies, build data flows, and develop logical/physical data models. Work with Data Architects to define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Engage in hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Proactively and independently address project requirements and articulate issues/challenges to reduce project delivery risks. Your Profile Bachelor's degree in computer/data science technical or related experience. Possess 7+ years of hands-on relational, dimensional, and/or analytic experience utilizing RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols. Demonstrated experience with data warehouse, Data Lake, and enterprise big data platforms in multi-data-center contexts. Proficient in metadata management, data modeling, and related tools (e.g., Erwin, ER Studio). Preferred experience with services in Azure/Azure Databricks (Azure Data Factory, Azure Data Lake Storage, Azure Synapse & Azure Databricks) and working on SAP Datasphere is a plus. Experience in team management, communication, and presentation. Understanding of agile delivery methodology and experience working in a scrum environment. Ability to translate business needs into data vault and dimensional data models supporting long-term solutions. Collaborate with the Application Development team to implement data strategies, create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects. Maintain logical and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure data model consistency. Recommend opportunities for data model reuse in new environments. Perform reverse engineering of physical data models from databases and SQL scripts. Evaluate data models and physical databases for variances and discrepancies. Validate business data objects for accuracy and completeness. Analyze data-related system integration challenges and propose appropriate solutions. Develop data models according to company standards. Guide System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces. Review modifications to existing data models to improve efficiency and performance. Examine new application design and recommend corrections as needed. #IncludingYou Diversity, equity, inclusion, and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. ADM is committed to attracting and retaining a diverse workforce and creating welcoming, inclusive work environments that enable every ADM colleague to feel comfortable, make meaningful contributions, and grow their career. ADM values the unique backgrounds and experiences that each person brings to the organization, understanding that diversity of perspectives makes us stronger together. For more information regarding ADM's efforts to advance Diversity, Equity, Inclusion & Belonging, please visit the website: Diversity, Equity and Inclusion | ADM. About ADM At ADM, the power of nature is unlocked to provide access to nutrition worldwide. With industry-advancing innovations, a comprehensive portfolio of ingredients and solutions catering to diverse tastes, and a commitment to sustainability, ADM offers customers an edge in addressing nutritional challenges. As a global leader in human and animal nutrition and the premier agricultural origination and processing company worldwide, ADM's capabilities in insights, facilities, and logistical expertise are unparalleled. From ideation to solution, ADM enriches the quality of life globally. Learn more at www.adm.com.,

As a Manager Business Consulting at HSBC, you will be a key member of our team, playing a crucial role in ensuring effective data management processes and strategies. With your expertise in areas such as Data Management, Data Governance, Metadata Management, Data Quality Measurement, and Reporting, you will be responsible for collaborating with global and local business process owners to identify data requirements and prioritize activities. Your responsibilities will include working closely with Information Technology to determine Trusted Sources of data, translating business requirements into Data Quality rules, documenting Data Quality thresholds, reviewing Data Quality results, and assisting in remediation efforts when necessary. Additionally, you will be involved in establishing collaboration among technology, data management, and business professionals to drive data consolidation, information delivery, and data strategies. To excel in this role, you should have at least 5 years of relevant experience and hold a Bachelor's or Master's degree specializing in numerical disciplines, computer science, information systems, or other engineering fields. Your problem-solving and critical thinking skills will be essential in analyzing complex issues and developing practical solutions. Moreover, your understanding of data management concepts, project management skills, and regulatory project experience will be valuable assets in this position. Effective communication and stakeholder management skills are crucial for success in this role, as you will be working as part of a larger team and collaborating with various business and technology professionals. Your proactive and self-sufficient nature will enable you to work independently with minimal supervision, prioritize tasks effectively, and handle a mix of operational and strategic deliverables. Your broad knowledge of data governance and management practices, expertise in enterprise data governance framework, and understanding of business and technology issues related to information assets management will set you up for success in this dynamic and impactful role at HSBC. Join us at HSBC and discover a rewarding career where your skills and expertise will be valued, and you will have the opportunity to make a real impact in the banking and financial services industry.,

Aera Technology is revolutionizing enterprise decision-making. Our AI-driven platform, Aera Decision Cloud, integrates seamlessly with existing systems to digitize, augment, and automate critical business decisions in real-time. Aera helps global enterprises transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world's best-known brands. We are looking for a Product Manager - Data to lead the evolution of our core Decision Intelligence capabilities. You will redefine how organizations harness data and AI to drive smarter, faster, and more sustainable decision-making. This is an exciting opportunity to be at the forefront of enterprise AI innovation, collaborating with a dynamic team in a fast-paced, startup-like environment. This role will be based in our Pune office. Responsibilities As a Product Manager, you will own the strategy, development, and execution of key platform components required for building a Decision Data Model which enables enterprises to build powerful AI-driven workflows. Lead product strategy & execution: Define and drive priorities, roadmap, and development efforts to maximize business value. Understand market needs: Research target users, use cases, and feedback to refine features and address customer pain points. Analyze competitive landscape: Stay ahead of industry trends and competitors to inform product differentiation. Define product requirements: Work closely with designers and engineers to develop user-centric, scalable solutions. Collaborate cross-functionally: Partner with Customer Success, Engineering, and Executive teams to align on vision and priorities. Drive user adoption: Act as the go-to expert, ensuring internal teams are equipped with the knowledge and resources to enable customers. About You You are passionate - you are your product's biggest advocate, and its biggest critic. You will ceaselessly pursue excellence and do whatever it takes to deliver a product that users love and that delivers value. You are pragmatic - you know when to focus on nuanced details, and when to bring a more strategic perspective to the table. You love to learn - you continually gather new information, ideas, and feedback, and you seek to understand the root of an issue, in order to identify an optimal solution. You are a master at communication and collaboration - not only can you communicate a compelling vision or a complex concept, but you also know how to motivate a team to collaborate around a problem and work toward a common goal. Experience At least 2 yrs of B2B SaaS PM experience Mandatory. Experience in data infrastructure, AI/ML platforms, or enterprise data products. Knowledge of data modeling, SQL, and ETL/ELT processes. Knowledge of data quality, metadata management, data lineage, and observability is a plus. Bachelor's degree in Engineering/Computer Science or a related technical discipline. If you share our passion for building a sustainable, intelligent, and efficient world, you're in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let's build this! Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You'll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you're working from the office, you'll also have access to a fully-stocked kitchen with a selection of snacks and beverages.,

Join Amgen's Mission of Serving Patients At Amgen, you play a significant role in making a difference. The shared mission of serving patients living with serious illnesses is at the heart of everything we do. Since 1980, Amgen has been a pioneer in the biotech world, combating some of the toughest diseases globally. Our focus on Oncology, Inflammation, General Medicine, and Rare Disease allows us to impact millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that improve and extend the lives of patients. Our culture at Amgen is recognized for its collaboration, innovation, and science-driven approach. If you thrive on challenges and the opportunities they bring, you will find a fulfilling career with us. Join us at Amgen to not only transform your career but also transform the lives of patients for the better. Senior Manager - Data Strategy & Governance In this pivotal role, your primary responsibility will be to operationalize the Enterprise Data Council vision within specific domains such as Research, Clinical Trials, Commercial, and more. You will coordinate activities at a tactical level, interpreting the Enterprise Data Council's directives, defining operational impact deliverables, and taking actions to establish solid data foundations within designated domains. Collaborating with senior leadership and other Data Governance functional leads, you will align data initiatives with business objectives. The Data Strategy and Governance Lead will set and enforce data governance policies and standards to ensure high-quality data that is easily accessible, reusable, and connects seamlessly to accelerate the development of innovative AI solutions that better serve patients. Roles & Responsibilities: - Oversee data governance and data management within a specific domain of expertise (Research, Development, Supply Chain, etc.). - Lead a team of Data Governance Specialists and Data Stewards focused on a particular domain. - Implement the Enterprise data governance framework operationally, ensuring alignment with the broader collaborator community's data governance needs, including data quality, access controls, regulatory compliance, master data management, data sharing, communication, and change management. - Collaborate with Enterprise MDM and Reference Data teams to enforce standards and promote data reusability. - Drive cross-functional alignment in designated domain(s) to uphold Data Governance principles. - Provide expert guidance on business processes and system design to support data governance and data/information modeling objectives. - Maintain documentation and serve as an expert on data definitions, standards, flows, legacy structures, common models, harmonization, etc., within assigned domains. - Ensure compliance with data privacy, security, and regulatory policies in the assigned domains. - Establish enterprise-level standards for information nomenclature, content, structure, metadata, glossaries, and taxonomies. - Partner with Technology teams, business functions, and enterprise units to define specifications that shape the development and implementation of data foundations. What we expect from you Basic Qualifications: - Masters degree with 8 to 10 years of Information Systems experience OR - Bachelors degree with 10 to 14 years of Information Systems experience, OR - Diploma with 14 to 18 years of Information Systems experience - 4 years of managerial experience directly leading people and leadership experience in managing teams, projects, or programs. - Technical proficiency with a deep understanding of Pharma processes, preferably specializing in a specific domain (e.g., Research, Clinical Trials, Commercial, etc.). - Awareness of industry trends and priorities with the ability to apply them to governance and policies. - Extensive knowledge and experience with data governance principles and technology; capable of designing and implementing Data Governance operating models to drive Amgen's transformation into a data-driven organization. - Profound understanding of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. - Experience in the development lifecycle of data products, including enabling data dictionaries and business glossaries to enhance data products" reusability and promote data literacy. Preferred Qualifications: - Collaborate on developing data foundations and products in conjunction with functions and Digital teams. - Successfully implement complex projects in a fast-paced environment and manage multiple priorities effectively. - Proficient in managing project or departmental budgets. - Familiarity with modeling tools like Visio. - Basic programming skills, experience with data visualization and data modeling tools. - Experience working with agile development methodologies such as Scaled Agile. Soft Skills: - Ability to cultivate business relationships and grasp end-to-end data usage and requirements. - Excellent interpersonal skills with a focus on teamwork. Proficient in people management within a matrix or direct line function. - Strong verbal and written communication skills. - Effective collaboration with global, virtual teams. - High level of initiative, self-motivation, and the ability to manage multiple priorities successfully. - Team-oriented mindset, dedicated to achieving team goals. - Strong presentation and public speaking abilities. - Attention to detail, commitment to quality, effective time management, and customer-centric focus. What you can expect from us At Amgen, we prioritize your professional and personal growth and well-being as we work together to develop treatments that benefit others. Our competitive benefits and collaborative culture support you at every stage of your journey. In addition to a competitive base salary, Amgen provides comprehensive Total Rewards Plans that align with local industry standards. Apply now for a career that transcends imagination. The opportunities ahead are within your reach. Join us at careers.amgen.com. Amgen's commitment to advancing science to serve patients is upheld by fostering an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and embody the Amgen values. Together, we stand united in the battle against serious diseases. Individuals with disabilities will receive reasonable accommodation to engage in the job application or interview process, perform essential job functions, and access other benefits and privileges of employment. Please contact us to request accommodation.,

Join us to lead data modernization and maximize analytics utility. As a Data Owner Lead at JPMorgan Chase within the Data Analytics team, you play a crucial role in enabling the business to drive faster innovation through data. You are responsible for managing customer application and account opening data, ensuring its quality and protection, and collaborating with technology and business partners to execute data requirements. Your primary job responsibilities include documenting data requirements for your product and coordinating with technology and business partners to manage change from legacy to modernized data. You will have to model data for efficient querying and use in LLMs by utilizing the business data dictionary and metadata. Moreover, you are expected to develop ideas for data products by understanding analytics needs and creating prototypes for productizing datasets. Additionally, developing proof of concepts for natural language querying and collaborating with stakeholders to rollout capabilities will be part of your tasks. You will also support the team in building backlog, grooming initiatives, and leading data engineering scrum teams. Managing direct or matrixed staff to execute data-related tasks will also be within your purview. To be successful in this role, you should hold a Bachelor's degree and have at least 5 years of experience in data modeling for relational, NoSQL, and graph databases. Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions is crucial. Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) is also required. Furthermore, you should possess the ability to balance short-term goals and long-term vision in complex environments, along with knowledge of open data standards, data taxonomy, vocabularies, and metadata management. A Master's degree is preferred for this position, along with the aforementioned qualifications, capabilities, and skills.,

As a Data Modeller at ReBIT, you will be responsible for technology delivery by collaborating with business stakeholders, RBI departments, and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models, data migration, and generate business reports. You will play a crucial role in identifying the architecture, infrastructure, interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. The ideal candidate should possess 8-14 years of experience in the IT industry with hands-on experience in relational, dimensional, and/or analytic data using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols. Experience in data technologies such as SQL, Pl/SQL, Oracle Exadata, MongoDB, Cassandra, and Hadoop is required. Additionally, expertise in designing enterprise-grade application data models/structures, particularly in the BFSI domain, is essential. You should have a good understanding of metadata management, data modeling, and related tools like Oracle SQL Developer Data Modeler, Erwin, or ER Studio. Your role will involve working on modeling, design, configuration, installation, and performance tuning to ensure the successful delivery of applications in the BFSI domain. Furthermore, you will be responsible for building best-in-class performance-optimized relational/non-relational database structures/models and creating ER diagrams, data flow diagrams, and dimensional diagrams for relational systems/data warehouse. In this role, you will need to work proactively and independently to address project requirements and effectively communicate issues/challenges to reduce project delivery risks. You will be a key player in driving the data modeling process, adhering to design standards, tools, best practices, and related development for enterprise data models. If you are a data modeling professional with a passion for delivering innovative solutions in a collaborative environment, this role at ReBIT in Navi Mumbai offers an exciting opportunity to contribute to the BFSI domain while honing your skills in data modeling and technology delivery.,

We are currently searching for a highly experienced SQL Server Architect to support our biggest client in Hyderabad, India. If you believe you possess the required skills and experience to excel in this challenging position, we invite you to apply. In this role, you will need to demonstrate deep expertise in various areas including performance optimization and tuning capabilities, partitioning data implementations, metadata management, database schema creation and management, data modeling, database design, as well as data and database encryption. As a SQL Server Architect, your responsibilities will include serving as a key technical resource for the customer, focusing on delivering proactive services such as education workshops, assessments, and expert guidance. You will have the opportunity to work alongside a highly motivated team of leading industry experts, preview new technologies ahead of the curve, conduct customer training sessions, and actively contribute to a thriving developer community dedicated to enhancing customer experience, achieving software development goals, and maximizing technology utilization. If you are eager to take on this exciting challenge and meet the minimum requirements outlined above, we encourage you to submit your application. We anticipate receiving your applications and will reach out to successful candidates within 2 weeks of applying.,

As a Data Governance Specialist at Siemens Energy, you play a crucial role in the Data & Artificial Intelligence team within the Digital Core function. Your primary responsibility is to support the business by transforming data management practices and embedding data governance in key deliveries across the energy industry. Working in a fast-paced environment, you will collaborate with your team to establish and execute the data governance framework, policies, and standards. Your main focus will be on conducting data maturity assessments and developing a sustainable data governance framework to monitor our progress in the governance journey. You will contribute to implementing an enterprise data governance program and operationalizing data governance roles within Siemens Energy. Your efforts will also involve creating new ways of working that enhance the effectiveness of data governance practices. Key Responsibilities: - Lead the design and implementation of a framework for data governance sustainability to assess data maturity, monitor progress, and drive continuous improvement. - Communicate data governance concepts effectively, support training activities, and enable data management roles within the organization. - Design and execute data maturity models, ensuring continuous monitoring against targets. - Develop policies, procedures, and guidelines to advance data governance sustainability across Siemens Energy. - Contribute to various data governance activities and projects such as defining data KPIs, engaging with data stakeholders, and establishing ownership of data domains. - Collaborate with business partners to enhance the operating model and integrate data maturity into all areas of the organization. - Support the development and maintenance of an end-to-end data lifecycle management approach aligned with enterprise data management practices. Qualifications: - University degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Chemistry, or related field. - 10+ years of experience in Data Management, preferably implementing data governance frameworks in complex data landscapes. - Excellent communication skills to explain data governance concepts and drive assessments within Siemens Energy. - Expertise in Data Governance, Master Data Management, Data Quality Management, Metadata Management, Data Architecture, and Data Security practices. - Proficiency in designing processes to embed data management in technology landscapes. - Strong facilitation and problem-solving skills, with experience in large data governance programs. - Familiarity with data management solutions like Data Catalogs and Data Quality tools. - Ability to adapt to changing priorities in a dynamic environment. Join the Data & Analytics team at Siemens Energy to contribute to our mission of becoming a data-driven organization. Embrace diversity, innovation, and sustainability as we work towards a more energy-efficient world. Visit our website to learn more about making a difference at Siemens Energy.,

As a Data Governance Specialist at Siemens Energy, you will be an integral part of the Data & Artificial Intelligence team within the Digital Core function. Your primary responsibility will be to support the broader needs and demands of the business by transforming the way data is perceived and embedding data management practices across all sectors of the energy industry. In this dynamic environment, you will collaborate with your team to enable and train individuals in data roles within the organization, ensuring the operating model functions effectively. Moreover, you will closely work with the Digital Transformation Office team to establish a sustainable onboarding and enablement framework. Your contributions will be crucial to executing the data governance framework, policies, and standards at Siemens Energy, thereby enhancing the overall data governance program. Your impact will be significant as you lead the efforts to design and implement a sustainable onboarding and enablement framework. You will excel in communicating complex data governance concepts clearly to facilitate upskilling and training activities for data management roles. Additionally, you will create relevant content to support self-serving capabilities, enabling data governance roles to enhance their skills effectively. Furthermore, you will assist in producing, refining, and publishing new training artifacts to align with updated policies and guidelines. Your role will involve leading workshops, planning activities, and ensuring their successful delivery. You will actively contribute to various data governance projects such as data maturity models, data KPIs, and regular engagements with all data governance roles and domains. Collaboration will be a key aspect of your role as you engage with stakeholders through the Digital forums, particularly the data Governance Council, to formalize decisions and plans on enablement. Additionally, you will work closely with the Digital Core business partners to enhance the operating model and bring data enablement closer to all business areas and employees. Your background in Computer Science, Mathematics, Statistics, Engineering, Physics, Chemistry, or related fields, along with over 10 years of experience in Data Management in large organizations, will be invaluable. Your expertise in designing and implementing Data Governance, coupled with a strong understanding of various data management practices, will enable you to thrive in this role. Your excellent communication skills and ability to adapt to changing priorities will further contribute to your success. Join Siemens Energy's Data & Analytics team to drive innovation and contribute to a sustainable future by leveraging data as a strategic asset. Be a part of a diverse and inclusive global team committed to making a difference in the energy sector. Explore how you can shape the future with Siemens Energy: https://www.siemens-energy.com/employeevideo Siemens Energy values diversity and inclusion, recognizing the power generated through differences. Embrace the opportunity to be a part of a team that celebrates individuality and fosters a culture of creativity and collaboration. Join us in energizing society and driving positive change based on our unique strengths and perspectives. As a Data Governance Specialist at Siemens Energy, you will play a pivotal role in shaping the data landscape and fostering a culture of excellence in data management. Your commitment to innovation, collaboration, and continuous improvement will contribute to our mission of providing sustainable, reliable, and affordable energy solutions. Join us at Siemens Energy and be a part of a global team dedicated to pushing the boundaries of what is possible in energy technology. Together, we can create a more sustainable future for generations to come.,

You should have a Bachelor's or Master's degree in computer/data science or related field, or equivalent technical experience. With a minimum of 7 years of hands-on experience in relational, dimensional, and/or analytic data modeling. Your expertise should include a strong command of SQL and practical experience working with databases such as Oracle, PostgreSQL, Snowflake, and Teradata. Your responsibilities will involve hands-on activities like modeling, design, configuration, installation, performance tuning, and sandbox Proof of Concept (POC). Proficiency in metadata management, data modeling, and related tools such as Erwin or ER Studio is essential. You should be experienced in data modeling, ER diagramming, and designing enterprise software for OLTP (relational) and analytical systems. It is crucial that you possess a solid understanding of data modeling principles, standard methodologies, semantic data modeling concepts, and multi-Fact models. You must be capable of defining data modeling standards, guidelines, and assisting teams in implementing complex data-driven solutions at a large scale globally. Your experience should also include supporting history handling, time series data warehousing, and data transformations through data modeling activities. Additionally, you should have the ability to quickly comprehend technological and business concepts, key domain entities, and communicate effectively with engineers, architects, and product management teams. Your role will involve assessing the accuracy, completeness, and consistency of data models while ensuring the maintenance of relevant documentation. Experience with data cataloging tools like Alation and Collibra to drive data lineage is preferred. A strong understanding of data governance processes and metadata repositories is also expected. You should be comfortable working in a fast-paced environment with short release cycles and an iterative development methodology, handling multiple projects simultaneously with minimal specifications. Having knowledge of Python and experience with Informatica would be considered advantageous for this position. Your excellent communication and documentation skills will be essential in this role.,

You will be joining Coders Brain Technology Pvt. Ltd., a global leader in digital services and business solutions. As part of our team, you will work with clients to simplify, strengthen, and transform their businesses. We are committed to ensuring the highest levels of certainty and satisfaction by leveraging our comprehensive industry expertise and a global network of innovation and delivery centers. Your role will involve utilizing your expertise in AEM applications, including working with AEM Components and Templates, Workflows, Taxonomy, Metadata Management, Replication Strategies, Content Authoring, Versioning, Publishing Pages, Tagging, and JCR/CRX Repository Concepts Nodes and Properties. Additionally, React knowledge is a must-have for this position. If you are excited about this opportunity, please provide the following details: - Current CTC - Expected CTC - Notice period - Current Company - Current Location - Preferred Location - Total experience - Relevant experience - Highest Qualification - Date of Joining (If you have an offer from another company) - Offer in Hand Please ensure to share your updated CV at the earliest. Skills required for this role include tagging, CRX, JCR, AEM applications, AEM components and templates, publishing pages, React, workflows, content authoring, properties, metadata management, JCR/CRX repository concepts nodes, taxonomy, versioning, and replication strategies.,

Your Team Responsibilities Data Technology group in MSCI is responsible to build and maintain state-of-the-art data management platform that delivers Reference Market & other critical datapoints to various products of the firm, The platform, hosted on firmsdata centers and Azure & GCP public cloud, processes 100 TB+ data and is expected to run 24*7 With increased focus on automation around systems development and operations, Data Science based quality control and cloud migration, several tech stack modernization initiatives are currently in progress, To accomplish these initiatives, we are seeking a highly motivated and innovative individual to join the Data Engineering team for the purpose of supporting our next generation of developer tools and infrastructure, The team is the hub around which Engineering, and Operations team revolves for automation and is committed to provide self-serve tools to our internal customers, Your Key Responsibilities Implement & Maintain Data Catalogs Deploy and manage data catalog tool Collibra to improve data discoverability and governance, ? Metadata & Lineage Management Automate metadata collection, establish data lineage, and maintain consistent data definitions across systems, ? Enable Data Governance Collaborate with governance teams to apply data policies, classifications, and ownership structures in the catalog, ? Support Self-Service & Adoption Promote catalog usage across teams through training, documentation, and continuous support, ? Cross-Team Collaboration Work closely with data engineers, analysts, and stewards to align catalog content with business needs, ? Tooling & Automation Build scripts and workflows for metadata ingestion, tagging, and monitoring of catalog health, Leverage AI tools for automation of cataloging activities ? Reporting & Documentation Maintain documentation and generate usage metrics, ensuring transparency and operational efficiency, Your Skills And Experience That Will Help You Excel Self-motivated, collaborative individual with passion for excellence E Computer Science or equivalent with 5+ years of total experience and at least 2 years of experience in working with Azure DevOps tools and technologies Good working knowledge of source control applications like git with prior experience of building deployment workflows using this tool Good working knowledge of Snowflake YAML, Python Tools: Experience with data catalog platforms ( e-g , Collibra, Alation, DataHub), Metadata & Lineage: Understanding of metadata management and data lineage, Scripting: Proficient in SQL and Python for automation and integration, APIs & Integration: Ability to connect catalog tools with data sources using APIs, Cloud Knowledge: Familiar with cloud data services (Azure, GCP), Data Governance: Basic knowledge of data stewardship, classification, and compliance, Collaboration: Strong communication skills to work across data and business teams About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing, Flexible working arrangements, advanced technology, and collaborative workspaces, A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results, A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients, Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development, Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles, We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Womens Leadership Forum, At MSCI we are passionate about what we do, and we are inspired by our purpose to power better investment decisions Youll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry, MSCI is a leading provider of critical decision support tools and services for the global investment community With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process, MSCI Inc is an equal opportunity employer It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability Assistance@msci and indicate the specifics of the assistance needed Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries, To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes Please do not forward CVs/Resumes to any MSCI employee, location, or website MSCI is not responsible for any fees related to unsolicited CVs/Resumes, Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers Read our full note on careers msci Show

Role & responsibilities Job Description: As a Data Governance Architect, you must be able to manage organization-wide data governance activities and will be responsible for improving the quality and managing the protection of sensitive data and information assets. You will be responsible for preparing a Data Catalog strategy to build out a catalog with data and BI objects and onboard a user base to support the curation of metadata, lineage, and documentation for enabling seamless data discovery at an enterprise level, thereby streamlining data intake, and reducing data duplication throughout the organization. You must be result-oriented, self-motivated and can thrive in a fast-paced environment. This role requires you to serve as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department. Primary Roles and Responsibilities: Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. Responsible for the implementation and oversight of the Company data management goals, standards, practices, process, and technologies. Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the companys principal information assets To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each teams metadata, and develop a process for working with and onboarding data domain teams. Be the point of contact for Data Governance queries, including escalation point for client concerns. Coordinate the resolution of data integrity gaps by working with the business owners and IT. Ability to work in an agile environment with an iterative approach to development. Skills and Preferred candidate profile Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database).

Job description Company: Kiya.ai Work location Pune Work Mode: Hybrid Job details- Key Responsibilities: o Utilize Collibra to manage and maintain data governance workflows, metadata, and data cataloging. o Support the implementation and enhancement of data lineage within Collibra to provide clear visibility into data flow and dependencies. o Collaborate with data engineers, architects, and business stakeholders to document and validate data lineage across systems. o Analyze and map data movement from source to target systems ensuring accuracy and completeness. o Gather, review, and analyze business and technical requirements related to data governance and lineage projects. o Translate requirements into actionable tasks and ensure alignment with organizational data policies. o Take full ownership of assigned deliverables, ensuring timely and quality completion. o Track progress, identify risks, and proactively communicate status to stakeholders. o Manage end-to-end contract execution processes related to data governance initiatives, including vendor coordination, compliance checks, and documentation. o Ensure contractual obligations are met and escalate issues as necessary. o Work closely with cross-functional teams including IT, legal, compliance, and business units to support data governance objectives. o Prepare and present reports, dashboards, and documentation to stakeholders. ________________________________________ Qualifications: • Masters degree in computer science, Information Systems, Data Science, or related field. • Proven experience working with Collibra or similar data governance platforms. • Strong understanding of data lineage concepts and metadata management. • Experience in requirement gathering, analysis, and documentation. • Demonstrated ability to manage deliverables and take ownership of projects. • Familiarity with contract management and execution processes is a plus. • Excellent analytical, problem-solving, and communication skills. • Ability to work independently and collaboratively in a fast-paced environment. ________________________________________ Preferred Skills: • Knowledge of SQL, data modeling, and ETL processes. • Experience with data quality tools and frameworks. • Understanding of regulatory requirements related to data governance (e.g., GDPR, CCPA). • Project management experience or certifications (e.g., PMP, Agile) would be an additional skill.

Data Steward and Analyst Location: L&T Finance, Mahape, Navi Mumbai, India We are seeking a proactive and detail-oriented Data Steward and Analyst to drive metadata standardization and data ownership across enterprise systems This role will be responsible for defining, maintaining, and enriching metadata assets including business glossaries, data dictionaries, and ownership hierarchies The ideal candidate will collaborate with business and technical stakeholders to enhance data discoverability, trust, and compliance, Hands-on experience to implement, configure and maintain this Data Steward with Data Governance tools is essential, with preference given to those familiar with Ab Initio (preferred), Informatica, Talend, Atlan, Databricks, or Snowflake, Strong communication and collaboration skills are required to engage effectively with business and application stakeholders across L&T Finance, If you're passionate about building robust data governance frameworks and thrive in a dynamic environment, this is an excellent opportunity to advance your career, WHO WE ARE L&T Finance is one of Indias leading Non-Banking Financial Companies (NBFCs), known for its innovation-driven lending solutions across retail, rural, and infrastructure finance With a strong commitment to digital transformation and data-led decision making, we offer a dynamic workplace where your contributions shape the financial future of millions Join us to be a part of an organization that values growth, integrity, and impact, PROFESSIONAL SUMMARY Detail-oriented Data Steward / Analyst with 28 years of experience in metadata governance, business glossary management, and data ownership frameworks in financial services Adept at defining and maintaining enterprise metadata to support regulatory compliance, reporting accuracy, and data democratization Proven ability to work across business and technology teams; familiarity with Ab Initio is an added advantage, RESPONSIBILITIES Define, maintain, and govern enterprise-wide Business Glossary and Metadata Hub, ensuring consistent and standardized definitions across domains, Collaborate with Data Owners, SMEs, and Data Architects to assign data ownership, stewardship roles, and accountability for critical data assets, Support ongoing metadata curation and enrichment efforts, ensuring metadata completeness, quality, and alignment with business objectives, Establish workflows for metadata onboarding, change management, versioning, and lifecycle governance, Work closely with Data Governance, Risk, Compliance, and IT teams to support data classification, policy enforcement, and regulatory alignment, Assist in generating data lineage documentation and support catalogue integration efforts, Provide periodic reports and metrics on metadata completeness, glossary usage, and stewardship activities, Champion metadata awareness and drive data literacy initiatives across business units, Guide adoption and optimization of data governance tools like Ab Initio (Preferred), Informatica, Atlan, or Snowflake, Define roles and responsibilities for data stewards and custodians, Train and evangelize data governance practices across departments, Support audit and compliance reporting through accurate data lineage and usage logs, Ensure business continuity with proper data backup, archival, and purging strategies, Align governance goals with broader digital transformation and analytics strategies, TECHNICAL SKILLS Technical Skills: Strong understanding of Data Governance principles, metadata management, and data stewardship frameworks, Hands-on experience with Business Glossary, Metadata Hub, or any metadata management/collaboration tool ( e-g , Collibra, Informatica, Alation), Excellent documentation, communication, and stakeholder engagement skills, Working knowledge of data modelling, data lineage, and data quality concepts, Detail-oriented, self-motivated, and comfortable working across business and technology teams, Understanding of Indian regulatory compliance standards ( e-g , RBI guidelines, CKYC, Aadhaar, credit bureau data usage), Familiarity with data modelling, metadata management, and ETL/ELT pipelines, Proficient in querying and validating data using SQL or similar languages, Experience working in or with data warehouse environments like BigQuery, or GCP-based lakes, Shell Scripting, Python, JSON, Java 8 & above, Spring Boot, REST APIs, GCP, Debugging skills, Design, GEN AI, LLM, RAG, and Agentic RAG are not mandatory but, preferred, Collaboration & Communication Proven ability to collaborate with cross-functional teams including business, compliance, risk, and engineering Strong documentation and requirement gathering skills to align technical governance with business objectives Skilled in stakeholder management and articulating data governance value to non-technical audiences Experience driving adoption of governance practices across enterprise functions Personality Traits & Leadership Detail-oriented with a strong sense of data integrity and accuracy Self-driven, with the ability to take ownership and lead governance initiatives independently Process-oriented thinker with a structured approach to problem-solving Influencer with the ability to promote data discipline across teams Demonstrates professional integrity, especially while handling sensitive financial and customer data Adaptable to change and comfortable working in a fast-paced NBFC environment QUALIFICATION BE/B Tech and/or M Tech in any discipline 2-8years of familiarity or working knowledge of Ab Initio Metadata Hub and Ab Initio Business Glossary is a strong plus (but not mandatory) Exposure to cloud data platforms (AWS, GCP, or Azure) and modern data stacks is an advantage Strong problem-solving skills Good collaboration skills Good communication skills Show

As a Data Engineer at our company, you will be responsible for designing and implementing Azure Synapse Analytics solutions for data processing and reporting. Your role will involve optimizing ETL pipelines, SQL pools, and Synapse Spark workloads to ensure efficient data processing. It will also be crucial for you to uphold data quality, security, and governance best practices while collaborating with business stakeholders to develop data-driven solutions. Additionally, part of your responsibilities will include mentoring a team of data engineers. To excel in this role, you should have 6-10 years of experience in Data Engineering, BI, or Cloud Analytics. Your expertise in Azure Synapse, Azure Data Factory, SQL, and ETL processes will be essential. Experience with Fabric is strongly desirable, and possessing strong leadership, problem-solving, and stakeholder management skills is crucial. Knowledge of Power BI, Python, or Spark would be a plus. You should also have deep knowledge of Data Modelling techniques, Design and development of ETL Pipelines, Azure Resources Cost Management, and proficiency in writing complex SQL queries. Furthermore, you are expected to have knowledge and experience in Master Data/metadata management, including Data Governance, Data Quality, Data Catalog, and Data Security. Your ability to manage a complex and rapidly evolving business, actively lead, develop, and support team members will be key. As an Agile practitioner and advocate, you must be highly dynamic in your approach, adapting to constant changes in risks and forecasts. Your role will involve ensuring data integrity within the dimensional model by validating data and identifying inconsistencies. You will also work closely with Product Owners and data engineers to translate business needs into effective dimensional models. This position offers the opportunity to lead AI-driven data integration projects in real estate technology, work in a collaborative and innovative environment with global teams, and receive competitive compensation, career growth opportunities, and exposure to cutting-edge technologies. Ideally, you should hold a Bachelors/masters degree in software engineering, Computer Science, or a related area. Our company offers a range of benefits, including hybrid working arrangements, an annual performance-related bonus, Flexi any days, medical insurance coverage for extended family members, and an engaging, fun, and inclusive culture. MRI Software is dedicated to delivering innovative applications and hosted solutions that empower real estate companies to elevate their business. With a strong focus on meeting the unique needs of real estate businesses globally, we have grown to include offices across various countries with over 4000 team members supporting our clients. MRI is proud to be an Equal Employment Opportunity employer.,

As a Senior Platform Engineer at Kenvue Data Platforms, you will have an exciting opportunity to be part of our growing Data & Analytics product line team. Your role involves collaborating closely with various teams such as Business partners, Product Owners, Data Strategy, Data Platform, Data Science, and Machine Learning (MLOps) to drive innovative data products for end users. You will play a key role in shaping the overall solution and data platforms, ensuring their stability, responsiveness, and alignment with business and cloud computing needs. Your expertise will be crucial in optimizing business outcomes and contributing to the growth and success of the organization. Your responsibilities will include providing leadership for data platforms in partnership with architecture teams, conducting proof of concepts to deliver secure and scalable platforms, staying updated on emerging technologies, mentoring other platform engineers, and focusing on the execution and delivery of reliable data platforms. You will work closely with Business Analytics leaders to understand business needs and create value through technology. Additionally, you will lead data platforms operations, build next-generation data and analytics capabilities, and drive the adoption and scaling of data products within the organization. To be successful in this role, you should have an undergraduate degree in Technology, Computer Science, applied data sciences, or related fields, with an advanced degree being preferred. You should possess strong analytical skills, effective communication abilities, and a proven track record in developing and maintaining data platforms. Experience with cloud platforms such as Azure, GCP, AWS, cloud-based databases, data streaming platforms, and Agile methodology will be essential. Your ability to define platforms tech stack, prioritize work items, and work effectively in a diverse and inclusive company culture will be critical to your success in this role. If you are passionate about leveraging data and technology to drive business growth, make a positive impact on personal health, and shape the future of data platforms, then this role at Kenvue Data Platforms is the perfect opportunity for you. Join us in our mission to empower millions of people every day through insights, innovation, and care. We look forward to welcoming you to our team! Location: Asia Pacific-India-Karnataka-Bangalore Function: Digital Product Development Qualifications: - Undergraduate degree in Technology, Computer Science, applied data sciences or related fields; advanced degree preferred - Strong interpersonal and communication skills, ability to explain digital concepts to business leaders and vice versa - 4 years of data platforms experience in Consumer/Healthcare Goods companies - 6 years of progressive experience in developing and maintaining data platforms - Minimum 5 years hands-on experience with Cloud Platforms and cloud-based databases - Experience with data streaming platforms, microservices, and data integration - Proficiency in Agile methodology within DevSecOps model - Ability to define platforms tech stack to address data challenges - Proven track record of delivering high-profile projects within defined resources - Commitment to diversity, inclusion, and equal opportunity employment,

As a Data Modeler, you will be responsible for developing and maintaining conceptual, logical, and physical data models along with their corresponding metadata. Your role will involve performing data mapping based on data source schemas and reverse engineering existing transformations from multiple source database systems on a cloud data platform to align with corporate standards. Additionally, you will conduct data analysis, capture data requirements, and collaborate with squad members and product owners to implement data strategies effectively. One of your key responsibilities will be to validate logical data models with business subject matter experts and work closely with the development team to ensure that all requirements are captured and reflected in the data model. You will also collaborate with the DBA team to design physical models that optimize performance. Active participation in metadata definition and management will be essential in this role. To excel in this position, you should be proficient in data modeling techniques using tools such as Erwin, ER/Studio, and Power Designer. A willingness to learn and strong communication skills are also important attributes for success in this role. If you have 6 to 9 years of experience, you can expect a salary of 18 L, while candidates with 9 to 12 years of experience can anticipate a salary of 24 L. This is an excellent opportunity to leverage your skills and expertise as a Data Modeler to contribute to the success of the organization.,

As the Data Governance Tooling & Lifecycle Management Lead at McDonald's Corporation in Hyderabad, you will play a crucial role in developing and implementing end-to-end strategies for data governance tooling and processes across the enterprise. Your responsibilities will include owning the architecture, implementation, and administration of enterprise data governance platforms, such as Collibra, and defining governance workflows, metadata curation, and policy enforcement processes. You will work closely with various teams to ensure data is governed, discoverable, and trusted throughout its lifecycle. In this role, you will be responsible for developing and implementing strategies for data lifecycle governance, from ingestion to archival and deletion, while ensuring compliance with regulations and business needs. You will also lead initiatives to automate and visualize end-to-end data lineage across source systems, pipelines, warehouses, and BI tools. Collaborating with legal, compliance, and security teams, you will define and enforce data access, classification, and privacy policies to support regulatory compliance frameworks. To be successful in this role, you should have at least 11 years of experience in data governance, metadata management, or data operations, with a minimum of 3 years of experience in owning enterprise tooling or lifecycle processes. Deep expertise in data governance platforms, metadata and lineage management, cloud platforms such as GCP and AWS, SQL, ETL/ELT pipelines, and compliance practices is required. You should also possess excellent project management and stakeholder communication skills, along with a degree in Data Management, Information Systems, Computer Science, or a related field. Preferred experience includes working in Retail or QSR environments managing governance across global data operations, exposure to data product ownership, and familiarity with APIs and automation scripts. Holding a current GCP Associates or Professional Certification would be an added advantage. This is a full-time, hybrid role based in Hyderabad, India, where you will collaborate with data stewards, engineers, and product teams to ensure governance tooling meets user needs and drives adoption. Your contributions will be vital in reporting on governance adoption, data quality KPIs, and policy coverage to senior leadership and data councils. If you are looking to join a dynamic team at the forefront of innovation in the fast-food industry, this role offers a unique opportunity to make a significant impact on McDonald's global data governance initiatives.,

As a Data Management Associate at Wells Fargo, you will be responsible for the collection and extraction of data to support business needs and future trends. Your role will involve analyzing, assessing, and testing data controls and systems to ensure quality and risk compliance standards are met. Additionally, you will perform data quality, metadata analysis, governance activities, and remediation tasks on a tactical and routine basis. You will provide support for communications by documenting requirements, design decisions, issue closures, and remediation updates. Monitoring data governance, data quality, and metadata policies, standards, tools, processes, and procedures will also be part of your responsibilities to maintain common data control. Supporting managers in executing tasks throughout the issue remediation life cycle for data issues and interacting with data provided by third-party data providers are key aspects of this role. Required qualifications for this position include at least 6 months of experience in Data Management, Business Analysis, Analytics, or Project Management. Equivalent experience demonstrated through work experience, training, military service, or education will also be considered. Desired qualifications involve developing and running reports from Enterprise Data Management Tools such as Tableau and Power BI, analyzing Metadata Quality Assurance findings, and collaborating with Subject Matter Experts to drive remediation efforts. Familiarity with Data Governance, Metadata Management, Data Lineage, Business Analysis, Data Quality, Business Glossary, Data Dictionary, and Basic SQL is preferred. You will be conducting data governance onboarding meetings with new stakeholders, designing and conducting analysis to identify and remediate data quality or integrity issues, and adhering to data governance standards and procedures. You will play a crucial role in monitoring data governance, data quality, and metadata policies to ensure data control and remediation for companywide data management functions. Supporting regulatory analysis and reporting requirements, recommending plans for assessing the quality of new data sources, documenting business or technical metadata, and working with clients to assess the current state of data quality within your assigned responsibility area are also part of the responsibilities in this role. Please note that the job posting may be closed early due to the volume of applicants. At Wells Fargo, we value diversity and encourage applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. Accommodations for applicants with disabilities are available upon request during the recruitment process.,

You are an experienced Informatica Master Data Management (MDM) Specialist with over 5 years of total experience, including 3-5 years of direct expertise in MDM design, development, support, and operations using the Informatica MDM tool suite. Your primary responsibility will be to implement and manage MDM services, data quality, and governance to ensure high-quality data across enterprise systems. In this role, you will lead the design, development, and deployment of Master Data Management (MDM) solutions, ensuring alignment with enterprise data strategies. You will leverage the Informatica MDM tool suite, including Data Controls, Data Director, and Data Quality, to deliver high-quality data management solutions. Your expertise will be crucial in configuring and optimizing Informatica MDM tools and utilities, such as Data Controls and Data Director, to support ongoing MDM processes. You will also be responsible for implementing Data Governance and Data Quality solutions to maintain enterprise-wide consistency, accuracy, and completeness of master data. Additionally, you will work on various data integration technologies like ETL, data replication, and data services to ensure the successful integration of master data across enterprise systems. Your strong business acumen will enable you to understand business requirements and apply MDM solutions that solve complex business problems, collaborating closely with business and IT teams. Your role will involve performing enterprise-level data analysis and providing data-focused systems integration solutions to ensure seamless integration of master data while identifying data quality gaps and implementing solutions to improve data accuracy. To qualify for this position, you should have 5+ years of overall experience in data management, with at least 3-5 years of direct experience in MDM design, development, support, and operations using the Informatica MDM tool suite. Strong proficiency in Informatica MDM tools and utilities, along with experience in Master Data Management (MDM) strategies, Metadata Management, Data Governance, and Data Quality solutions, is required. Excellent communication and collaboration skills are essential for working cross-functionally with technical teams and business stakeholders. Preferred qualifications include experience with large-scale data environments and providing enterprise-level data analysis and system integration solutions.,

You are an experienced Data Modeller with specialized knowledge in designing and implementing data models for modern data platforms, specifically within the healthcare domain. Your expertise includes a deep understanding of data modeling techniques, healthcare data structures, and experience with Databricks Lakehouse architecture. Your role involves translating complex business requirements into efficient and scalable data models that support analytics and reporting needs. You will be responsible for designing and implementing logical and physical data models for Databricks Lakehouse implementations. Collaboration with business stakeholders, data architects, and data engineers is crucial to create data models that facilitate the migration from legacy systems to the Databricks platform while ensuring data integrity, performance, and compliance with healthcare industry standards. Key responsibilities include creating and maintaining data dictionaries, entity relationship diagrams, and model documentation. You will develop dimensional models, data vault models, and other relevant modeling approaches. Additionally, supporting the migration of data models, ensuring alignment with overall data architecture, and implementing data modeling best practices are essential aspects of your role. Your qualifications include extensive experience in data modeling for analytics and reporting systems, strong knowledge of dimensional modeling, data vault, and other methodologies. Proficiency in Databricks platform, Delta Lake architecture, healthcare data modeling, and industry standards is required. You should have experience in migrating data models from legacy systems, strong SQL skills, and understanding of data governance principles. Technical skills that you must possess include expertise in data modeling methodologies, Databricks platform, SQL, data definition languages, data warehousing concepts, ETL/ELT processes, performance tuning, metadata management, data cataloging, cloud platforms, big data technologies, and healthcare industry knowledge. Your knowledge should encompass healthcare data structures, terminology, coding systems, data standards, analytics use cases, regulatory requirements, clinical and operational data modeling challenges, and population health and value-based care data needs. Your educational background should include a Bachelor's degree in Computer Science, Information Systems, or a related field, with an advanced degree being preferred. Professional certifications in data modeling or related areas would be advantageous for this role.,

Billigence is a boutique data consultancy with a global presence, dedicated to revolutionizing how organizations interact with data. By harnessing state-of-the-art technologies, we specialize in crafting and executing advanced Business Intelligence solutions that deliver significant value across various domains from process digitalization to Cloud Data Warehousing, Visualization, Data Science, Engineering, and Data Governance. Our headquarters are in Sydney, Australia, and we have established offices worldwide to assist clients in overcoming business obstacles, streamlining operations, and fostering the widespread adoption of an analytics-driven mindset. As a Senior Data Governance Consultant at Billigence India, you will spearhead the Data Governance division, ensuring the delivery of top-notch services. Your responsibilities will involve designing and implementing robust data governance strategies that uphold stringent standards of data quality, security, and regulatory adherence. Leveraging your expertise in Collibra, you will create governance frameworks that facilitate business expansion and align with regulatory mandates. In addition to leading projects, you will play a pivotal role in mentoring junior team members and actively contribute to the recruitment process to bolster the governance team. Your key responsibilities will include: - Leading the development and execution of data governance frameworks - Establishing and upholding data governance policies and standards across various business units - Collaborating with data owners and stakeholders to ensure alignment with organizational goals - Implementing data stewardship initiatives and data quality management protocols - Providing strategic counsel on data privacy, security, and regulatory compliance - Mentoring junior consultants to nurture their skills and expertise in data governance - Participating in candidate interviews to strengthen the governance team To excel in this role, you must possess: - Proficiency in Collibra and other data governance tools - Extensive experience in implementing data governance frameworks and best practices - Knowledge of data privacy regulations such as GDPR and CCPA, along with compliance requirements - Ideally, certifications from DAMA (Data Management Association) like CDMP (Certified Data Management Professional) - Familiarity with the evolving trends in AI and their implications for data governance frameworks - Strong communication and collaboration skills to engage effectively with senior stakeholders and cross-functional teams - Deep understanding of data governance principles encompassing data quality, stewardship, and metadata management - Demonstrated expertise in data governance within complex, large-scale environments - Experience in mentoring junior team members to foster their technical growth - Active involvement in interviewing and assessing potential team members to fortify the governance team In return for your contributions, we offer: - Hybrid/remote work setup for a balanced work-life integration - Competitive compensation package with performance bonuses - Fitness allowance to support your physical well-being - Referral bonus scheme - Coaching, mentoring, and buddy system for seamless onboarding during the probationary period - Certification opportunities throughout your tenure - Support for career growth, internal mobility, and advancement prospects - Team-building activities and networking events to foster a collaborative work culture.,