4985 Data Governance Jobs - Page 13

About the Role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 18 years of experience in Data engineering and Analytics and a proven track record of designing and implementing complex data solutions. As a senior principal data architect, you will be expected to design, create, deploy, and manage Blackbauds data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence at Blackbaud. This individual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specifically with data, of other projects. What you'll do Develop and direct the strategy for all aspects of Blackbauds Data and Analytics platforms, products and services Set, communicate and facilitate technical direction more broadly for the AI Center of Excellence and collaboratively beyond the Center of Excellence Design and develop breakthrough products, services or technological advancements in the Data Intelligence space that expand our business Work alongside product management to craft technical solutions to solve customer business problems. Own the technical data governance practices and ensures data sovereignty, privacy, security and regulatory compliance. Continuously challenging the status quo of how things have been done in the past. Build data access strategy to securely democratize data and enable research, modelling, machine learning and artificial intelligence work. Help define the tools and pipeline patterns our engineers and data engineers use to transform data and support our analytics practice Work in a cross-functional team to translate business needs into data architecture solutions. Ensure data solutions are built for performance, scalability, and reliability. Mentor junior data architects and team members. Keep current on technology: distributed computing, big data concepts and architecture. Promote internally how data within Blackbaud can help change the world. What you'll bring 18+ years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing, data lakes, data mesh and data products. Experience with machine learning Excellent communication and leadership skills. Preferred Qualifications Experience working with .Net/Java and Microservice Architecture

Key Responsibilities : - Exp in Snowflake with min 3 yrs. - Design, develop, and maintain integration workflows using Informatica CAI/CDI within IDMC. - Configure and manage Informatica MDM for data consolidation, cleansing, and governance. - Translate business and technical requirements into robust, scalable integration solutions. - Collaborate with analysts, architects, and business stakeholders to ensure delivery meets expectations. - Monitor and troubleshoot integration processes and performance. - Support deployment activities and CI/CD processes. - Maintain documentation of integration designs and data flows. Essential Skills & Experience : - 4+ years experience in Informatica development (Cloud and/or On-Prem). - Strong experience with CAI (Cloud Application Integration) and CDI (Cloud Data Integration). - Experience configuring and supporting Informatica MDM including data models, match/merge rules, and hierarchies. - Solid understanding of REST/SOAP APIs, event-driven architecture, and message queues. - Hands-on experience with IDMC platform and cloud-native integration patterns. - Proficient in SQL and data manipulation techniques. - Experience in data governance, data quality, and master data best practice. - Experience with CI/CD pipelines for Informatica using Git, Jenkins, or similar tools. - Knowledge of cloud platforms (Azure, AWS, or GCP). - Exposure to data warehousing, data lake, or real-time integration. - Familiarity with Agile/Scrum delivery methods.

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions You will develop intricate data processing pipelines, addressing clients' most challenging problems You will collaborate with data scientists to design scalable implementations of their models You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines You will use different distributed storage and computing technologies from the plethora of options available You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack You will collaborate with the team on the areas of data governance, data security and data privacy You will incorporate data quality into your day-to-day work Job qualifications Technical Skills Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems You have hands-on experience of data modeling and modern data engineering tools and platforms You have experience in writing clean, high-quality code using the preferred programming language You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting You have experience with data visualization techniques and can communicate the insights as per the audience You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.) Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed

About the role: We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 1 2 years of experience in s oftware & data engineering and a nalytics and a proven track record of designing and implementing complex data solutions. Y ou will be expected to design, create, deploy, and manage Blackbauds data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence atBlackbaud. Thisindividual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specifically with data, of other projects. What youll be doing: Develop and direct the strategy for all aspects of Blackbauds Data and Analytics platforms, products and services Set, communicate and facilitate technical directionmore broadly for the AI Center of Excellence and collaboratively beyond the Center of Excellence Design and develop breakthrough products, services or technological advancements in the Data Intelligence space that expand our business Work alongside product management to craft technical solutions to solve customer business problems. Own the technical data governance practices and ensures data sovereignty, privacy, security and regulatory compliance. Continuously challenging the status quo of how things have been done in the past. Build data access strategy to securely democratize data and enable research, modelling, machine learning and artificial intelligence work. Help define the tools and pipeline patterns our engineers and data engineers use to transform data and support our analytics practice Work in a cross-functional team to translate business needs into data architecture solutions. Ensure data solutions are built for performance, scalability, and reliability. Mentor junior data architects and team members. Keep current on technology: distributed computing, big data concepts and architecture. Promote internally how data within Blackbaud can help change the world. What we want you to have: 10+ years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Experience building modern products and infrastructure Experience working with .Net/Java and Microservice Architecture Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing,data lakes, data mesh and data products. Experience with machine learning Excellent communication and leadership skills. Able to work flexible hours as required by business priorities Ability to deliver software that meets consistent standards of quality, security and operability.

What this job involves: General Purpose Will be responsible for managing all aspects of collecting & preparation of reports along with handling application-based Process Management & Data Analytics. Be fully equipped and resilient to learn the new tech innovations and be able to handle the contemporary transport operations which includes Transport Management System/ related application which forms the backbone of present-day operations. Job type : Full time Reporting Manager : Site Lead No of staff managed : Operations Staff and Shift/Site Managers Main Job Duties and Responsibilities Deep knowledge of advance excel & Analytics in transport operations. Excellent communication skills in English, both spoken and in writing. Excellent understanding of Transport Management System/similar platforms and applications in transport domain. Must have handled large teams with excellent man management skills. Good understanding and execution of MIS operations. Well versed with automation tools in transport operations. Hands on knowledge of Digital assistants. Vendor management. Budget monitoring and management. Ready to work in fast paced environment, various shifts, and travel in NCR. Be able to throw new solutions through Data analytics for faster enablement of economic streamlining of the transport operations. Be able to interact with project leads and undertake conflict resolution, presentations, vendor management etc. Education and Experience Qualification : Bachelors Degree Industry Experience: Employee Logistics, Travels & Transport. Overall Experience: 4 or more years of data management related experience such as Data Analysis, Data Governance. Experience with standard data entry systems, excellent computer skills including proficiency in MS Excel 2010, Word and Outlook, standard analytic and reporting systems with some exposure to programming languages like SQL and tools like Excel etc. Technical Skills : 4 or more years of experience in related industry; employee logistics and transport management preferred. Key Competencies Good technical writing, documentation, and communication skills. Self-motivated, positive attitude and a team player. Strong organizational skills and the ability to deal with large volumes of data. Effectively prioritize and manage time and workload to meet timelines. Working and conceptual knowledge of databases is a plus. Experience in accessing and executing end user reports and dashboards from any reporting tool is a plus. Problem analysis Client service orientation Adaptability Teamwork Presentation skills Computer Knowledge Good knowledge of employee logistics. Innovative approach at work Quick learning ability & Positive thinking What you can expect from us Youll join an entrepreneurial, inclusive culture. One where we succeed together across the desk and around the globe. Where like-minded people work naturally together to achieve great things.

Assistant application and analytic Manager Whats your ambition Is it a big goal or small steps Professional or personal Wed like to know because at JLL, we make your ambitions our business. And if you have ambitions in (Workplace), join us to be inspired by the best. What this job involves: General Purpose Will be responsible for managing all aspects of collecting & preparation of reports along with handling application-based Process Management & Data Analytics. Be fully equipped and resilient to learn the new tech innovations and be able to handle the contemporary transport operations which includes Transport Management System/ related application which forms the backbone of present-day operations. Job type : Full time Reporting Manager : Site Lead No of staff managed : Operations Staff and Shift/Site Managers Main Job Duties and Responsibilities Deep knowledge of advance excel & Analytics in transport operations. Excellent communication skills in English, both spoken and in writing. Excellent understanding of Transport Management System/similar platforms and applications in transport domain. Must have handled large teams with excellent man management skills. Good understanding and execution of MIS operations. Well versed with automation tools in transport operations. Hands on knowledge of Digital assistants. Vendor management. Budget monitoring and management. Ready to work in fast paced environment, various shifts, and travel in NCR. Be able to throw new solutions through Data analytics for faster enablement of economic streamlining of the transport operations. Be able to interact with project leads and undertake conflict resolution, presentations, vendor management etc. Education and Experience Qualification : Bachelors Degree Industry Experience: Employee Logistics, Travels & Transport. Overall Experience: 4 or more years of data management related experience such as Data Analysis, Data Governance. Experience with standard data entry systems, excellent computer skills including proficiency in MS Excel 2010, Word and Outlook, standard analytic and reporting systems with some exposure to programming languages like SQL and tools like Excel etc. Technical Skills : 4 or more years of experience in related industry; employee logistics and transport management preferred. Key Competencies Good technical writing, documentation, and communication skills. Self-motivated, positive attitude and a team player. Strong organizational skills and the ability to deal with large volumes of data. Effectively prioritize and manage time and workload to meet timelines. Working and conceptual knowledge of databases is a plus. Experience in accessing and executing end user reports and dashboards from any reporting tool is a plus. Problem analysis Client service orientation Adaptability Teamwork Presentation skills Computer Knowledge Good knowledge of employee logistics. Innovative approach at work Quick learning ability & Positive thinking

You are a highly skilled and experienced Data Modeler who will be joining our data engineering team. Your expertise lies in designing scalable and efficient data models for cloud platforms, with a focus on Oracle Data Warehousing and Databricks Lakehouse architecture. Your role will be crucial in our strategic transition from an on-prem Oracle data warehouse to a modern cloud-based Databricks platform. Your responsibilities will include designing and implementing conceptual, logical, and physical data models to meet business requirements and analytics needs. You will lead the migration of data models from Oracle Data Warehouse to Databricks on AWS or Azure cloud, reverse-engineer complex Oracle schemas, and collaborate with data architects and engineers to define optimal data structures in Databricks. Furthermore, you will optimize data models for performance, scalability, and cost-efficiency in a cloud-native environment, develop and maintain dimensional models using star and snowflake schemas, and ensure data governance standards are met through metadata management, data lineage, and documentation practices. Your input will be valuable in data architecture reviews and best practices in modeling and data pipeline integration. To be successful in this role, you should have at least 5 years of hands-on experience in data modeling, including conceptual, logical, and physical design. You must have proven experience in migrating large-scale Oracle DWH environments to Databricks Lakehouse or similar platforms, expertise in Oracle database schemas, PL/SQL, and performance tuning, as well as proficiency in Databricks, Delta Lake, Spark SQL, and DataFrame APIs. Deep knowledge of dimensional modeling techniques, familiarity with metadata management tools, and strong analytical and communication skills are essential. You should also be able to work collaboratively in Agile teams and effectively communicate data model designs to technical and non-technical stakeholders.,

As a Vice President - Analytics and Relationship Management Lead at HSBC, you will play a crucial role in managing analytics and relationships within the GCOO business unit. Your responsibilities will include leading a team of data experts, ensuring data management aligns with global requirements, and collaborating with various stakeholders such as Global Businesses, COO, Second Line of Defence, and more. Your primary duties will involve setting and executing plans for data management, ensuring team objectives are met, and providing leadership in the effective execution of change within the Hub. You will be responsible for reviewing and improving processes, supporting the team's development and training needs, and delivering high-quality data to the leadership team. In this role, you will lead initiatives to embed a culture of good data management practices, ensure compliance with regulations, and track adherence to data governance policies. Your experience in data analytics, reporting, third-party management, and risk domains will be essential in driving the team towards achieving organizational objectives and maintaining data quality practices. Additionally, you will be expected to set challenging goals for yourself and the team, make informed decisions that align with HSBC values, and foster a collaborative work environment. Your proven track record in role modeling group values, managing relationships, and delivering superior customer service will be key to your success in this position. Ideally, you should have a Bachelor's degree with relevant industry experience, strong people management skills, and a background in financial services. Fluency in more than one language is desirable, considering the global nature of the role. HSBC offers flexible working arrangements and family-friendly policies to support your professional growth and personal well-being. Join HSBC and be part of a team where your contributions are valued, and you can make a real impact on the organization's success.,

Join us on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together, we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Compliance Technology Team aligned to the Corporate Technology division, you are an integral part of an agile team that enhances, builds, and delivers data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. Your role as a core technical contributor involves maintaining critical data pipelines and architectures across multiple technical areas to support the firm's business objectives. Your responsibilities include providing recommendations and insights on data management and governance procedures, designing and delivering trusted data platform solutions, defining database strategies, generating advanced data models, approving data analysis tools, creating documentation, advising junior engineers, evaluating access control processes, and contributing to a culture of diversity, equity, inclusion, and respect. The qualifications, capabilities, and skills required for this role include formal training or certification in Data Engineering concepts with at least 5 years of applied experience, demonstrated leadership abilities, expertise in designing scalable data architectures and pipelines, proficiency in Python and PySpark, experience with AWS cloud platform and data services, knowledge of data warehousing solutions and ETL processes, ability to collaborate with cross-functional teams, experience in data governance and data quality assurance, proficiency in Big Data technologies with a focus on Performance Optimization, excellent communication skills, and familiarity with version control systems and CI/CD pipelines. Preferred qualifications and skills include experience with Databricks using PySpark, understanding of the Parquet file format, experience with ETL tools and processes, familiarity with machine learning frameworks, and integrating them into data pipelines.,

As a Senior Data Engineer at Barclays, you will play a crucial role in driving innovation and excellence by spearheading the evolution of the digital landscape. Your primary responsibility will be to harness cutting-edge technology to revolutionize digital offerings and ensure unparalleled customer experiences. You will be evaluated based on your proficiency in key critical skills such as experience with Modern Data Engineering Frameworks, developing and maintaining cloud-native applications, and job-specific skill sets. To excel in this role, you should possess the following qualifications and experience: - A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in data engineering, with a focus on ETL processes and data pipeline development. - Strong expertise in AbInitio and experience with modern data engineering tools and frameworks (e.g., Apache Spark, Kafka, AWS/GCP/Azure). - Proficiency in programming languages such as Python, Java, or Scala. - Experience with cloud-based data solutions and big data technologies. - Knowledge of data protection and privacy-preserving technologies. - Ability to ensure data quality, integrity, and security across all data pipelines. - Experience in developing and validating a wide range of data pipelines, integrating CI/CD pipelines, and promoting best practices in code versioning, testing, and environment management. - Defining technology strategy, mentoring teams, overseeing vendor collaborations, managing cybersecurity and data governance risks. - Strong problem-solving, communication, and leadership skills. - Collaborating with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions. - Mentoring and guiding junior data engineers to foster a culture of continuous learning and improvement. - Staying up-to-date with the latest industry trends and technologies to drive innovation within the team. Desirable skillsets/good to have: - Knowledge of data warehousing concepts and technologies. - Prior experience in large-scale transformation programs. This role will be based in Pune. In this role, your purpose will be to design, develop, and execute testing strategies to validate software functionality, performance, and user experience. You will collaborate with cross-functional teams to identify and resolve defects, continuously improve testing processes and methodologies, and ensure software quality and reliability. Your key accountabilities will include: - Developing and implementing comprehensive test plans and strategies. - Creating and executing automated test scripts. - Analysing requirements, participating in design discussions, and contributing to the development of acceptance criteria. - Conducting root cause analysis for identified defects and working closely with developers to support defect resolution. - Promoting a culture of code quality and knowledge sharing through code reviews and collaboration. - Staying informed of industry technology trends and actively contributing to the organization's technology communities. As a Vice President, you are expected to contribute to or set strategy, drive requirements, and make recommendations for change. You will manage resources, budgets, and policies, deliver continuous improvements, and demonstrate leadership and accountability in managing risks and strengthening controls related to your team's work. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As a Technology Manager within the Customer Digital and Data business area at Barclays, your primary role is to oversee the management of people, processes, and technologies within the IT function to ensure that they contribute effectively towards achieving the business goals. Your accountabilities include developing and implementing technology strategies that drive business success by enhancing efficiency, supporting growth, fostering innovation, and managing risks. You will provide strategic leadership on technology matters, collaborating with subject matter experts in areas such as infrastructure, service management, and architecture. It is essential for you to align with global data governance frameworks to uphold data quality, security, and privacy standards, while also promoting data-driven decision making through the utilization of data analytics and artificial intelligence. You will be responsible for implementing technology practices that comply with security, regulatory, and compliance requirements, ensuring that work is conducted in adherence to policies and controls to actively manage risks. Additionally, you will lead digital transformation and change initiatives aimed at modernizing systems and delivering innovative digital solutions to enhance the experience for customers, clients, and colleagues. Managing the technology team will be a key aspect of your role, involving activities such as recruitment, training, mentoring, goal setting, and resource allocation to support team success. Handling technology budgets effectively to prioritize resources in alignment with business objectives, optimize costs, and mitigate financial risks associated with technology investments will also be part of your responsibilities. As a Manager Director, you will be expected to drive the success and competitiveness of the business division by influencing senior leaders and committees. Managing risks strategically to safeguard business divisions and promote growth, influencing company policy, and developing functional procedures in collaboration with senior leaders are crucial aspects of your role. You will need to demonstrate innovative and conceptual thinking, exercise management authority to make impactful decisions, negotiate with stakeholders at a senior level, and shape the public image of Barclays as a spokesperson for the business division. Overall, your role requires a deep understanding of how business divisions and functions integrate within the organization to achieve overarching business objectives. Upholding the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as embodying the Barclays Mindset to Empower, Challenge, and Drive, will guide your behavior and decision-making processes. Demonstrating the LEAD behaviors Listen, Energise, Align, and Develop will help create an environment where colleagues can thrive and consistently deliver exceptional results.,

Arthur J. Gallagher & Co. is a global leader in insurance, risk management, and consulting with operations supported by the Gallagher Center of Excellence (GCoE) in India. The GCoE in Bengaluru, Mumbai, Pune, Kolhapur, and Shimoga serves worldwide brokerage, claims, underwriting, finance, analytics, automation, and shared services. This blend of global expertise and local talent enables the delivery of innovative, client-focused solutions. We are looking for an experienced MDM Data Analyst / Data Steward Lead to oversee and enhance master data quality throughout the organization. The role entails collaborating with stakeholders to define data requirements, establish governance policies, and ensure data accuracy by utilizing cutting-edge MDM tools. This position is ideal for individuals who are enthusiastic about data governance, quality, and integration. Responsibilities: - Develop expertise in the assigned domain of data - Comprehend all source systems that contribute to the MDM - Document stewardship for the domain - Create rules and standards for data domain - Produce metrics indicating data quality enhancements to showcase to the business Requirements: - Proficiency in MDM tools and technologies like Informatica MDM, CluedIn, or similar platforms - Ability to translate complex business requirements into practical MDM solutions - Deep understanding of data modeling, governance, quality, and integration principles - Strong stakeholder management capabilities - Experience required: 8-12 Years - Location: Bangalore Work Shift: - UK shift (3 PM - 12 AM) - 1 week work from the office, 3 weeks WFH Join us at Arthur J. Gallagher & Co. to be a part of a dynamic team that values excellence in data management and is committed to delivering exceptional solutions to our clients.,

You are a strategic thinker passionate about driving solutions in business architecture and data management. You have found the right team. As a Banking Book Product Owner Analyst in our Firmwide Finance Business Architecture (FFBA) team, you will spend each day defining, refining, and delivering set goals for our firm. You will partner with stakeholders across various lines of business and subject matter experts to understand products, data, source system flows, and business requirements related to Finance and Risk applications and infrastructure. As a Product Owner on the Business Architecture team, you will work closely with Line of Business stakeholders, data Subject Matter Experts, Consumers, and technology teams across Finance, Credit Risk & Treasury, and various Program Management teams. Your primary responsibilities will include prioritizing the traditional credit product book of work, developing roadmaps, and delivering on multiple projects and programs during monthly releases. Your expertise in data analysis and knowledge will be instrumental in identifying trends, optimizing processes, and driving business growth. As our organization grows, so does our reliance on insightful, data-driven decisions. You will dissect complex datasets to unearth actionable insights while possessing a strong understanding of data governance, data quality, and data management principles. Utilize Agile Framework to write business requirements in the form of user stories to enhance data, test execution, reporting automation, and digital analytics toolsets. Engage with development teams to translate business needs into technical specifications, ensuring acceptance criteria are met. Drive adherence to product and Release Management standards and operating models. Manage the release plan, including scope, milestones, sourcing requirements, test strategy, execution, and stakeholder activities. Collaborate with lines of business to understand products, data capture methods, and strategic data sourcing into a cloud-based big data architecture. Identify and implement solutions for business process improvements, creating supporting documentation and enhancing end-user experience. Collaborate with Implementation leads, Release managers, Project managers, and data SMEs to align data and system flows with Finance and Risk applications. Oversee the entire Software Development Life Cycle (SDLC) from requirements gathering to testing and deployment, ensuring seamless integration and execution. Required qualifications, capabilities, and skills: - Bachelors degree with 2+ years of experience in Project Management or Product Ownership, with a focus on process re-engineering. - Proven experience as a Product Owner with a strong understanding of agile principles and delivering complex programs. - Strong analytical and problem-solving abilities, with the capacity to quickly assimilate business and technical knowledge. - Experience in Finance, Risk, or Operations as a Product Lead. - Familiarity with Traditional Credit Products and Liquidity and Credit reporting data. - Highly responsible, detail-oriented, and able to work with tight deadlines. - Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences. - Strong organizational abilities to manage multiple work streams concurrently, maintaining sound judgment and a risk mindset. - Solid understanding of financial and regulatory reporting processes. - Energetic, adaptable, self-motivated, and effective under pressure. - Basic knowledge of cloud technologies (e.g., AWS). Preferred qualifications, capabilities, and skills: - Knowledge of JIRA, SQL, Microsoft suite of applications, Databricks and data visualization/analytical tools (Tableau, Alteryx, Python) is a plus. - Knowledge and experience of Traditional Credit Products (Loans, Deposits, Cash etc.,) and Trading Products (Derivatives and Securities) a plus.,

As an experienced Reltio MDM professional, you will be responsible for designing, developing, and implementing Master Data Management solutions using the Reltio platform. This role requires a minimum of 2+ years of experience specifically in Reltio MDM, and a total of 7-10 years of relevant experience. Your key responsibilities will include gathering and analyzing business requirements for Master Data Management, designing and configuring Reltio MDM Cloud solutions, building data models, match & merge rules, survivorship rules, hierarchies, and workflows in Reltio, integrating Reltio with enterprise applications, implementing data quality, governance, and stewardship processes, managing user roles, security, and workflows, collaborating with stakeholders and data stewards, troubleshooting, providing production support, and preparing documentation and training materials. The required skills for this role include strong hands-on experience with Reltio MDM Cloud, expertise in data modeling, governance, quality, and metadata management, proficiency in REST APIs, JSON, XML, knowledge of ETL tools and integration frameworks, strong SQL skills, familiarity with cloud platforms, understanding of Agile methodology and DevOps processes, and excellent communication and stakeholder management skills. Preferred skills for the role include Reltio Certification, experience with other MDM tools, knowledge of Graph databases, Big Data platforms, or Data Lakes. If you are looking to further your career as a Reltio MDM Developer / Lead and possess the required skills and experience, we encourage you to apply for this exciting opportunity in our organization.,

As a Data Management Specialist, your primary responsibility will be to ensure the accuracy and quality of material master data. You will be required to inspect and validate the data, ensuring it complies with internal standards and regulatory requirements. Additionally, you will collaborate with suppliers, procurement teams, and internal departments to gather, verify, and update material information. Monitoring and maintaining data accuracy, identifying and eliminating duplicate entries, and ensuring alignment with inventory and procurement systems will be crucial aspects of your role. You will also be responsible for handling sensitive and confidential data with the utmost integrity and in compliance with company policies. Furthermore, as part of your responsibilities, you will be expected to recommend and implement improvements to master data processes and governance frameworks, contributing to continuous improvement initiatives within the organization. To excel in this role, you should possess a Bachelor's degree in supply chain, Engineering, IT, or a related field. A minimum of 3-4 years of hands-on experience in SAP ERP is essential. Proficiency in SAP and data governance tools, along with excellent attention to detail and analytical skills, will be required. Strong communication and interpersonal abilities, coupled with the capacity to work both independently and collaboratively in a cross-functional environment, are also key qualifications for this position.,

Join us as a Senior Business Analyst & Data Modeler (BA-DM) where you will play a critical role in bridging the gap between business requirements and technical implementation, ensuring that regulatory data solutions meet the Regulatory Reporting expectations. Also, ensuring that the data analytics solutions deliver unparalleled customer insights, in full compliance with Barclays Data, security, accuracy and efficiency standards. You may be assessed on the key critical skills relevant for success in role, such as strong experience in business analysis (involving Investment Bank) and data modelling in delivering regulatory data projects. As an ideal candidate you will have a strong background in business analysis, data modelling, and regulatory reporting frameworks within the investment banking domain. To be successful as a BA-DM for Investment Bank, you should have a strong understanding of investment banking products as well as trade life cycle. Additionally, a strong understanding of regulatory frameworks and data governance frameworks applicable to investment banks is essential. You should also possess experience in working on large-scale regulatory data projects in the investment bank, including requirements gathering, data analysis, and modelling. Furthermore, the ideal candidate will have 8+ years of experience as a business analyst, detailing functional and non-functional requirements, along with 3+ years of experience in developing and optimizing data models with industry standard tools and implementing data quality rules. A deep understanding of relational databases, data warehouse design, and ETL or ELT processes is crucial. Proficiency in SQL, Excel, and Python for data analysis and validation is required. The role also involves defining and executing test cases to validate data outputs and assisting in User Acceptance Testing (UAT). Desirable skillsets/good to have include strong communication and presentation skills, excellent problem-solving skills with attention to detail, ability to work under pressure and manage multiple priorities in a fast-paced environment, knowledge of data visualization tools such as Tableau and Power BI, familiarity with cloud-based data platforms like AWS, Azure, or GCP, and familiarity with big data technologies like Apache Spark, Starburst, Iceberg, DBT, object store, Databricks, and Airflow. Professional certifications such as CBAP, TOGAF, or DAMA-CDMP are a plus. Experience with Agile project management methodologies is preferred. This role will be based out of Nirlon Knowledge Park/Altimus office, Mumbai. Purpose of the Role: To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements. Design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities: - Design and develop solutions as products that can evolve to meet business requirements aligning with modern software engineering practices. - Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities. - Develop best practice designs incorporating security principles and meeting the Bank's resiliency expectations. - Balance risks and controls to deliver agreed business and technology value. - Adoption of standardised solutions where applicable and contributing to their ongoing evolution. - Provide fault finding and performance issues support to operational support teams. - Perform solution design impact assessment in terms of risk, capacity, and cost impact, including estimation of project change and ongoing run costs. - Develop architecture inputs required to comply with the bank's governance processes. Vice President Expectations: - Contribute or set strategy, drive requirements, and make recommendations for change. - Manage resources, budgets, and policies; deliver continuous improvements and escalate breaches of policies/procedures. - For individuals with leadership responsibilities, demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to an excellent standard. - Advise key stakeholders on functional and cross-functional areas of impact and alignment. - Manage and mitigate risks through assessment in support of the control and governance agenda. - Demonstrate leadership and accountability for managing risk and strengthening controls related to the team's work. - Collaborate with other areas of work to keep up with business activity and strategies. - Create solutions based on sophisticated analytical thought and in-depth analysis with interpretative thinking to define problems and develop innovative solutions. - Seek out, build, and maintain trusting relationships with internal and external stakeholders to achieve key business objectives. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

The Records Management Group Manager is responsible for identifying and delivering strategic initiatives to ensure adherence to the enterprise Records Management Policy and Standards. You will be supporting Citis businesses and functions to comply effectively and efficiently with the requirements of the Records Management Program. Your role involves maintaining a holistic view of records and information management issues impacting business, functions, and regions, and applying an in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity, and excellent communication skills are required to negotiate internally and externally often at a senior level. Your responsibilities will include collaborating with the Global Records Management program (DRIM - Data Retention and Information Management Team) to develop a records management strategy and framework, and subsequently leading its implementation across all SMCBI business units. You will serve as a liaison for the Records Management Program to ensure the identification, development, and/or adoption of risk-based strategies including retaining or disposal of records and information in compliance with policies, laws, rules, and regulations across Regions, Businesses, and/or Functions. Additionally, you will be responsible for identifying and governing the adoption of Citi record-keeping policies by third parties used by Functions while maintaining a holistic view of records and information management issues impacting the Functions. It will be essential to ensure all projects are adequately monitored to ensure timely completion and within allocated budgets. You will also develop and monitor relevant metrics to demonstrate the effectiveness of the Records Management Program and create tools, processes, and controls to enable the efficient oversight of the Program. Driving initiatives to support and provide expert advice for operational activities such as regional strategies, divestitures, third parties with records, legal/tax holds, archiving, etc., in a timely and compliant manner will be part of your responsibilities. Leading the development of metrics in simple, repeatable processes is also expected. To qualify for this role, you should have 10+ years of overall business management experience in a complex, financial organization, with experience in Records, Data, and Information Governance highly preferred. A strong understanding of Record Keeping laws and regulations, industry best practices, and a proven ability to act independently, work quickly and with careful attention to detail, juggle multiple priorities, and thrive in a varied, fast-paced environment are essential. Effective communication skills, the ability to drive consensus, and influence relationships at all levels, along with excellent organizational skills to manage multiple projects simultaneously, sound judgment, and demonstrated leadership skills are required. Education-wise, a Bachelor's/University degree is necessary, with a Master's degree preferred. As a Records Management Group Manager, you will play a crucial role in ensuring compliance with Records Management Program requirements and driving strategic initiatives to support the organization's objectives. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

The Adobe Analytics & Customer Journey Analytics Expert is responsible for designing, implementing, and optimizing digital analytics solutions to deliver actionable insights across web, mobile, and omnichannel experiences. This role bridges technical implementation and business strategy, ensuring data accuracy, advanced analysis, and insight-driven decision-making. You will be responsible for: Designing and maintaining Solution Design References (SDRs) for Adobe Analytics implementations. Configuring and managing report suites, eVars, props, events, classifications, and processing rules. Setting up and managing Connections and Data Views in Customer Journey Analytics (CJA). Implementing data collection tags using Adobe Launch or other tag management systems. Defining and implementing cross-device tracking and identity stitching strategies. Integrating online and offline datasets (POS, CRM, marketing platforms) into CJA via Adobe Experience Platform. Applying and maintaining data governance, compliance, and privacy standards (GDPR, CCPA). Building and maintaining interactive dashboards in Analysis Workspace and CJA. Developing attribution models, funnel/pathing analyses, and providing actionable insights. Partnering with Adobe Target & personalization teams for A/B testing and campaign optimization. Collaborating with marketing, product, UX, and development teams to align analytics with business goals. Training internal teams on using Adobe Analytics and CJA effectively. Staying updated on Adobe Analytics & CJA feature releases, industry trends, and best practices. Requirements: 3 - 7+ years of experience in web/digital analytics, with proven hands-on Adobe Analytics & CJA expertise. Proven expertise in Adobe Analytics (eVars, props, events), CJA (Connections, Data Views), Adobe Experience Platform, and Adobe Launch. Strong grasp of segmentation, attribution modeling, funnel analysis, and statistical analysis. Ability to translate raw data into business-ready insights with clear recommendations. Excellent communication skills with the ability to enable and upskill stakeholders. Strong business acumen and comfort collaborating with cross-functional teams. A track record of troubleshooting tracking/reporting issues and ensuring data quality. Preferred Skills: Working knowledge of SQL, API integrations, and predictive modeling. Experience with cross-device tracking and identity stitching strategies. Familiarity with data governance and compliance standards. Exposure to optimization and personalization initiatives using Adobe Target or similar tools.,

The Analyst-Data governance role within the Data & Analytics department in Mumbai involves implementing a data governance framework to enhance data quality, standards, metrics, and processes. The primary objective is to align data management practices with regulatory requirements and gain an understanding of data lineage within the Bank's business process and systems. Responsibilities include designing and executing data quality rules and monitoring mechanisms, analyzing data quality issues in collaboration with business stakeholders, building recovery models across the Enterprise, and utilizing DG technologies for data quality and metadata management such as Ovaledge, Talend, and Collibra. Additionally, the role involves supporting the development of Centralized Metadata repositories including business glossaries, technical metadata, capturing business/data quality rules, and designing data quality reports and dashboards. The ideal candidate should possess a minimum of 1 to 2 years of experience in Data governance. Key success metrics for this role include the successful implementation of the Data Quality framework across business lines.,

YASH Technologies is seeking a Data Engineer (Snowflake and MS SQL Server) with 4-6 years of experience in SQL Server, Snowflake, and data engineering practices. As a Data Engineer, you will be responsible for building scalable data solutions, analyzing existing ETL processes, and ensuring seamless data integration across platforms. Strong analytical skills, hands-on development experience, and the ability to collaborate with cross-functional teams are essential for this role to support data-driven decision-making. Key Responsibilities: - Design, build, and optimize data pipelines and integration flows between SQL Server and Snowflake. - Review and analyze existing SSIS packages for improvements, troubleshoot issues, and recommend optimizations. - Develop, maintain, and tune complex SQL queries, stored procedures, and triggers. - Implement and manage data warehousing solutions in Snowflake for reporting and analytics support. - Collaborate with business analysts, data scientists, and application teams to gather requirements and deliver robust data solutions. - Conduct data validation, quality checks, and error handling to ensure accuracy and reliability of business reporting. - Ensure adherence to data governance, best practices, and documentation standards. - Participate in troubleshooting, root cause analysis, and performance enhancement activities. Required Technical/Functional Competencies: - Domain/Industry Knowledge: Understand customer's business processes and relevant technology platforms. - Requirement Gathering and Analysis: Extract requirements from business needs and document system/software specifications. - Product/Technology Knowledge: Implement code/configure products and provide design inputs adhering to industry standards. - Architecture Tools and Frameworks: Analyze tools and frameworks for tool configurations and development. - Architecture Concepts and Principles: Apply architectural constructs and identify architectural patterns. - Analytics Solution Design: Awareness of core data science/analytics techniques and areas of application. - Tools & Platform Knowledge: Familiarity with mainstream data science/analytics software tools. Required Behavioral Competencies: - Accountability: Takes ownership, ensures accuracy of work, and meets deadlines. - Agility: Willingness to accept differing ideas or perceptions beneficial to the organization. - Collaboration: Participates in team activities to achieve common goals. - Customer Focus: Prioritizes meeting/exceeding customer expectations at expected quality within stipulated time. - Communication: Effectively communicates in written and oral form. - Drives Results: Demonstrates a "can do" attitude to achieve defined goals/targets. Certifications: Good to have certifications. Join YASH Technologies to create a career in an inclusive team environment with career-oriented skilling models for continuous learning and development. Our Hyperlearning workplace is built on flexibility, trust, collaboration, and support for achieving business goals, providing stable employment with an ethical corporate culture.,

Greetings for the day, We are looking for a Data Protection and Privacy Consultant for PAN INDIA location on behalf of our esteemed client with Global presence. With 6-12 years of experience, your key accountabilities will include evaluating the current state of the Personal Data Protection environment, creating Data Management and Personal Data Protection Strategy and Plan, developing a Data Classification Plan, identifying and inventorying all datasets and artifacts owned by the Bank, overseeing the communication and enforcement of policies related to Data Protection & Privacy, conducting Personal Data Protection training for employees, liaising with the Data Protection Authority of KSA, developing breach management procedures, and implementing corrective actions when issued by the Regulatory Authority. Your detailed tasks will involve implementing processes for permanent corrective actions, developing testing of implemented corrective actions, driving privacy operations, working with the website development team on managing third-party cookies, supporting in identifying third party privacy risks, ensuring customer facing channels comply with regulatory requirements, supporting in personal data discovery, establishing a record of processing activities, analyzing existing data governance tools, designing and implementing automated workflows, integrating data governance tools with other enterprise applications, developing custom scripts and enhancing the functionality of data governance tools, configuring and maintaining scheduling, monitoring, and alerting for automated data governance workflows, and collaborating with data governance and IT stakeholders to ensure alignment with enterprise architecture and security/compliance requirements. The ideal candidate will have a Bachelor's degree in computer science, cyber-security or related areas, along with a minimum of 6+ years of progressive experience in Data Governance and Data Privacy in a banking environment. Mandatory skills include experience in Data Privacy, Data Protection, and Data classification domains, working in a support group responsible for monitoring compliance, understanding privacy protection risks, data privacy related processes and policies, supporting the organization during external regulatory audits of data privacy, and advanced knowledge in Personal Data Protection regulations such as Data Classification, Risk Assessment, Risk Register, Data Confidentiality, Data Integrity, Data Availability, KSA PDPL, GDPR, and other GCC privacy laws. If you are interested, please reply back with your updated Resume along with the following details: Total Experience: Relevant experience in Data Governance & Privacy: Relevant experience in Data Protection: Banking/Finance domain experience: Can join ASAP: Current location: Current drawn salary per month: Expected Salary per month: Interested candidates can share their updated resume at ramandeep.k@anlage.co.in.,

The Firmwide Resiliency Office (FRO), part of the Office of the Chief Finance Officer, is responsible for designing the Firm's Resilience strategy. This includes Resiliency Planning, Testing, Exercising, Reporting, and Product and Concern Management. The team comprises technical product, data, and analytic roles that support business resiliency. FRO collaborates closely with senior leadership, Lines of Business, Functional Resiliency teams, and key functions such as Control Management, Risk Management & Compliance, and Audit to ensure the resiliency program aligns with the firm's risk-taking activities. Additionally, the team provides corporate governance, awareness, and training. As a Data Management Vice President within FRO, you will play a crucial role in supporting data strategies for the Firm's Resilience Program. You will work closely with all areas of FRO and key stakeholders across Lines-of-Business (LOBs) and Corporate Functions (CFs). This role requires an execution-oriented approach, exceptional data analytical skills, and full engagement with the overall program. A key responsibility will be implementing initiatives to enhance and automate resiliency data management frameworks. You will design and implement data strategies, facilitate data sharing, and establish data governance and controls using advanced data wrangling and business intelligence tools. Your expertise in SQL, Python, data transformation tools, and experience with AI/ML technologies will be essential in driving these initiatives forward. Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and Python and write complex SQL queries for data extraction, transformation, and loading. Develop and optimize data models to support analytical needs and improve query performance and collaborate with data scientists and analysts to support advanced analytics and AI/ML initiatives. Automate data processes and reporting using scripting utilities like Python, R, etc. Perform in-depth data analysis to identify trends and anomalies, translating findings into reports and visualizations. Collaborate with stakeholders to understand data requirements and deliver data services promptly. Partner with data providers to design data-sharing solutions within a data mesh concept. Oversee data ingestion, storage, and analysis, and create rules for data sharing and maintain data quality and integrity through automated checks and testing. Monitor and analyze data systems to enhance performance and evaluate new technologies and partner with technology teams and data providers to address data-related issues and maintain projects. Contribute to the design and implementation of data governance frameworks and manage firm-wide resiliency data management frameworks, procedures, and training. Stay updated with emerging data technologies and best practices and develop and maintain documentation for data engineering processes. Lead and manage a team of data professionals, providing guidance, mentorship, and performance evaluations to ensure successful project delivery and professional growth. Required qualifications, skills and capabilities: - Bachelor's degree in computer science, Data Science, Statistics, or a related field, or equivalent experience. - Expert in SQL for data manipulation, querying, and optimization, with advanced database experience. - Proficient in scripting utilities like Python, R, etc.; including data analysis libraries such as Pandas and NumPy. - Proficient in data transformation tools like Alteryx, and Tableau, and experienced in working with APIs. - Direct experience with Databricks, Spark, and Delta Lake for data processing and analytics. - Experience in data reconciliation, data lineage, and familiarity with data management and reference data concepts. - Excellent analytical, problem-solving, and communication skills, with a collaborative and team-oriented mindset. - Solid knowledge of software architecture principles, cloud-native design (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD best practices. - Self-starter with strong verbal, written, and listening skills, and excellent presentation abilities. - Proven influencing skills and the ability to be effective in a matrix environment. - Understanding of operational resilience or business continuity frameworks in regulated industries Preferred qualifications, skills and capabilities: - 10+ years of experience in data management roles such as Data Analyst or Data Engineer. - Strong understanding of data warehousing concepts and principles. - Skilled in handling large, complex datasets for advanced data analysis, data mining, and anomaly detection. - Experience with AI/ML technologies and frameworks,

You are an experienced Data Architect who will be responsible for leading the transformation of enterprise data solutions, particularly focused on migrating Alteryx workflows into Azure Databricks. Your expertise in the Microsoft Azure ecosystem, including Azure Data Factory, Databricks, Synapse Analytics, Microsoft Fabric, and strong background in data architecture, governance, and distributed computing will be crucial for this role. Your strategic thinking and hands-on architectural leadership will ensure the development of scalable, secure, and high-performance data solutions. Your key responsibilities will include defining the migration strategy for transforming Alteryx workflows into scalable, cloud-native data solutions on Azure Databricks. You will architect end-to-end data frameworks leveraging Databricks, Delta Lake, Azure Data Lake, and Synapse, while establishing best practices, standards, and governance frameworks for pipeline design, orchestration, and data lifecycle management. Collaborating with business stakeholders, guiding engineering teams, overseeing data quality, lineage, and security compliance, and driving CI/CD adoption for Azure Databricks will also be part of your role. Furthermore, you will provide architectural leadership, design reviews, and mentorship to engineering and analytics teams. Optimizing solutions for performance, scalability, and cost-efficiency within Azure, participating in enterprise architecture forums, and influencing data strategy across the organization are also expected from you. To be successful in this role, you should have at least 10 years of experience in data architecture, engineering, or solution design. Proven expertise in Alteryx workflows and their modernization into Azure Databricks, deep knowledge of the Microsoft Azure data ecosystem, strong background in data governance, lineage, security, and compliance frameworks, and proficiency in Python, SQL, and Apache Spark are essential. Excellent leadership, communication, and stakeholder management skills are also required. Preferred qualifications include Microsoft Azure certifications, experience in leading large-scale migration programs or modernization initiatives, familiarity with enterprise architecture frameworks, exposure to machine learning enablement on Azure Databricks, and understanding of Agile delivery and working in multi-disciplinary teams.,

We are seeking an experienced Business/Data Modeler to create scalable and efficient data models supporting customer support data and reporting. You will collaborate with business stakeholders, analysts, and data engineering teams to transform operational needs into robust data structures for reporting, analytics, and machine learning applications. Your responsibilities will include analyzing customer support processes to develop logical and physical data models. You will work closely with business teams to gather requirements, define KPIs, metrics, and reporting needs, and design normalized and dimensional data models using various modeling techniques. Additionally, you will be responsible for developing data model domains, subject areas, and standards for Customer Support based on business and company requirements, ensuring optimal design for Agentic AI analytics, and documenting source-to-target mappings and data lineage. To qualify for this role, you should have 10+ years of experience in data modeling, preferably in customer support, contact center, or operational analytics domains. Strong knowledge of relational and dimensional modeling principles, industry modeling standards, and experience with Data Mesh and Data Fabric concepts are required. Proficiency in SQL, familiarity with data platforms like Hive and Hudi, and experience with data modeling tools are essential. Additionally, an understanding of support-related KPIs, data governance principles, and the ability to collaborate effectively with cross-functional teams are necessary for success in this role. This position was posted by Shakti Mishra from Nineleaps.,

You are an experienced ServiceNow Data & Integration Lead Architect who will play a vital role in designing and managing integrations between ServiceNow and enterprise platforms. Your responsibilities will include defining integration architecture, ensuring data quality and governance, and leading integration initiatives across the organization. Your primary responsibilities will involve leading the design, development, and implementation of integrations between ServiceNow and enterprise platforms, both cloud-based and on-premises. You will be tasked with defining and governing integration architecture, patterns, and best practices. Your expertise in ServiceNow data models, APIs, Integration Hub, and ETL/data pipeline approaches will be crucial in providing scalable integration solutions. Collaboration with business and technical stakeholders will be essential to capture requirements and translate them into effective integration solutions. You will be responsible for maintaining data consistency, integrity, and security across connected systems, while overseeing the troubleshooting and resolution of complex integration issues. Guiding and mentoring technical teams on ServiceNow integration standards and practices will be part of your role. As the ideal candidate, you must have proven experience as an Integration Architect/Lead with ServiceNow, possessing a strong knowledge of ServiceNow modules, data structures, and APIs such as REST, SOAP, MID Server, and Integration Hub. Hands-on experience with enterprise integration tools and middleware like MuleSoft, Dell Boomi, and Azure Integration Services is required. Your background should also include experience with data governance, transformation, and migration in enterprise environments. Strong problem-solving skills, stakeholder management, communication, and leadership capabilities are essential for this role. You will be expected to stay updated on new ServiceNow capabilities and recommend enhancements for continuous improvement, ensuring that the organization's integration solutions remain effective and efficient.,