139 Data Lineage Jobs - Page 3

As a Data Analyst Assistant Vice President (AVP) at Citibank within the Analytics Information Management (AIM) team, you will be part of a global community that drives data-driven transformation across various functions to provide actionable intelligence for business leaders. The Data Management team focuses on implementing top-tier data quality measurement programs in the retail consumer bank sector, supporting critical areas such as regulatory compliance, metrics design, data governance, DQ scorecards, issue management, and audit support. Your responsibilities as a Data Analyst - AVP will include executing data strategies, defining data controls, establishing data domains and taxonomy, developing data steward procedures, certifying data fit for purpose, ensuring data compliance with laws and regulations, and collaborating with data owners to implement governance policies. To excel in this role, you should have expertise in collating and reviewing data requirements, understanding metadata lineage and definitions, reviewing data controls, driving data strategy, and tracking KPIs progress. Proficiency in tools such as SAS, SQL, Python, MS Excel, PowerPoint, and visualization tools is essential. Domain skills in banking, data lineage, audit frameworks, data quality, governance, risk, and control metrics are also important. Preferred additional skills include knowledge of finance regulations, understanding of audit processes, exposure to BI tools like Tableau, and automation/process re-engineering skills. Soft skills such as problem-solving, communication, project management, mentoring, stakeholder management, and teamwork are crucial for success in this dynamic and fast-paced environment. The ideal candidate will hold an MBA/Masters Degree in Economics/Information Technology/Computer Applications/Engineering or a BTech/B.E in related fields from a premier institute, along with 8 to 12 years of hands-on experience in delivering Data Governance solutions, including at least 4 years in the banking industry. If you have a proactive approach to problem-solving, exceptional communication skills, good process/project management abilities, and the desire to contribute to organizational initiatives, this role offers a challenging yet rewarding opportunity to make a significant impact within the Decision Management and Data/Information Management job family at Citibank on a full-time basis.,

As a Senior Data Analyst (C11) at Citi's Analytics Information Management (AIM) team, you will be part of a global community focused on driving data-driven transformation across the organization. Your role is crucial in creating actionable intelligence for business leaders by managing the implementation of best-in-class data quality programs in the retail consumer bank sector. Your responsibilities will include supporting various critical areas such as regulatory compliance, metrics design, data governance, DQ scorecard preparation, issue management, and audit support. You will be required to utilize your analytical skills to perform data analysis, visualization, and generate actionable business insights. In addition to your analytical expertise, proficiency in tools like SAS, SQL, Python, MS Excel, PowerPoint, and VBA will be advantageous. You should have a good understanding of data definitions, data lineage, data quality framework, and process improvement related to compliance and data quality initiatives. Knowledge of banking products and finance regulations will be beneficial. Your soft skills, including problem-solving abilities, communication, interpersonal skills, project management, and the ability to collaborate across functional areas, will be essential for success in this dynamic and fast-paced environment. To qualify for this role, you should hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A Post Graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields is preferred. You should have 5 to 8 years of hands-on experience in delivering data quality solutions, with at least 2 years of experience in the banking industry. Join us at Citi and be part of a team that is shaping the future of data-driven decision-making across the organization. (Note: The above job description is a summarized version extracted by Assistant),

As a Business Analyst with 7-14 years of experience, you will be responsible for various tasks including Business Requirement Documents (BRD) and Functional Requirement Documents (FRD) creation, Stakeholder Management, User Acceptance Testing (UAT), understanding Datawarehouse Concepts, SQL queries, and subqueries, as well as utilizing Data Visualization tools such as Power BI or MicroStrategy. It is essential that you have a deep understanding of the Investment Domain, specifically in areas like Capital markets, Asset management, and Wealth management. Your primary responsibilities will involve working closely with stakeholders to gather requirements, analyzing data, and testing systems to ensure they meet business needs. Additionally, you should have a strong background in investment management or financial services, with experience in areas like Asset management, Investment operations, and Insurance. Your familiarity with concepts like Critical Data Elements (CDEs), data traps, and reconciliation workflows will be beneficial in this role. Technical expertise in BI and analytics tools like Power BI, Tableau, and MicroStrategy is required, along with proficiency in SQL. You should also possess excellent communication skills, analytical thinking capabilities, and the ability to engage effectively with stakeholders. Experience in working within Agile/Scrum environments with cross-functional teams is highly valued. In terms of technical skills, you should demonstrate proven abilities in analytical problem-solving, with a deep knowledge of investment data platforms such as Golden Source, NeoXam, RIMES, and JPM Fusion. Expertise in cloud data technologies like Snowflake, Databricks, and AWS/GCP/Azure data services is essential. Understanding data governance frameworks, metadata management, and data lineage is crucial, along with compliance standards in the investment management industry. Hands-on experience with Investment Book of Records (IBORs) like Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart is preferred. Familiarity with investment data platforms including Golden Source, FINBOURNE, NeoXam, RIMES, and JPM Fusion, as well as cloud data platforms like Snowflake and Databricks, will be advantageous. Your background in data governance, metadata management, and data lineage frameworks will be essential in ensuring data accuracy and compliance within the organization.,

As a Senior Data Modeller, you will be responsible for leading the design and development of conceptual, logical, and physical data models for enterprise and application-level databases. Your expertise in data modeling, data warehousing, and data governance, particularly in cloud environments, Databricks, and Unity Catalog, will be crucial for the role. You should have a deep understanding of business processes related to master data management in a B2B environment and experience with data governance and data quality concepts. Your key responsibilities will include designing and developing data models, translating business requirements into structured data models, defining and maintaining data standards, collaborating with cross-functional teams to implement models, analyzing existing data systems for optimization, creating entity relationship diagrams and data flow diagrams, supporting data governance initiatives, and ensuring compliance with organizational data policies and security requirements. To be successful in this role, you should have at least 12 years of experience in data modeling, data warehousing, and data governance. Strong familiarity with Databricks, Unity Catalog, and cloud environments (preferably Azure) is essential. Additionally, you should possess a background in data normalization, denormalization, dimensional modeling, and schema design, along with hands-on experience with data modeling tools like ERwin. Experience in Agile or Scrum environments, proficiency in integration, databases, data warehouses, and data processing, as well as a track record of successfully selling data and analytics software to enterprise customers are key requirements. Your technical expertise should cover Big Data, streaming platforms, Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL, and modern BI tools. Your ability to design and scale data pipelines and architectures in complex environments, along with excellent soft skills including leadership, client communication, and stakeholder management will be valuable assets in this role.,

You are a Data Analyst (C10) at AIM, a global community focused on driving data-driven transformation across Citi. You play a crucial role in creating actionable intelligence for business leaders by implementing best-in-class data quality measurement programs for the US region's retail consumer bank. Your responsibilities include executing business data quality measurements in compliance with regulatory programs like CCAR and AML, designing data quality rules, ensuring data governance, preparing scorecards and reports, managing issues, and providing audit support. To excel in this role, you must possess strong analytical skills, expertise in data analysis and visualization, proficiency in formulating analytical methodology, identifying trends and patterns in data, and generating actionable business insights. Knowledge of tools like SAS, SQL, Python, MS Excel, and PowerPoint is preferred. Additionally, you should have a good understanding of data definitions, data lineage, data quality frameworks, and data warehouse knowledge. Familiarity with banking products and finance regulations is an added advantage. Soft skills are vital for success in this role, including the ability to solve complex business problems, communicate effectively, demonstrate good process management skills, and collaborate within teams. You are expected to hold an MBA, Mathematics, Information Technology, Computer Applications, or Engineering degree from a premier institute, with a preference for post-graduates in Computer Science, Mathematics, Operations Research, Econometrics, Management Science, or related fields. Ideally, you should have 2 to 5 years of hands-on experience in delivering data quality solutions, including at least 1 year in the banking industry. As a Data Analyst at AIM, you are a key player in the Decision Management job family group within the Data/Information Management job family. This is a full-time position that requires you to leverage your analytical, technical, and domain skills to drive data quality initiatives and provide valuable insights to senior management. If you are a proactive problem solver with excellent communication and interpersonal skills, and a strong track record in data quality solutions, this role offers an exciting opportunity to contribute to Citi's data-driven transformation journey.,

As a Data Analyst - Assistant Vice President (AVP) at Citi, you will be a part of the Analytics Information Management (AIM) global community, driving data-driven transformation across the organization. The primary objective is to create actionable intelligence for business leaders by managing the implementation of data quality measurement programs in the retail consumer bank sector worldwide. Your responsibilities will include executing data strategies for target states, defining data controls throughout the data life cycle, and ensuring compliance with global and local laws and regulations. You will collaborate with data owners to implement data governance policies and the data operating model. To excel in this role, you will need to have expertise in collating and reviewing data requirements, understanding metadata lineage and trusted data sources, and reviewing data lineage to highlight process gaps. Proficiency in tools such as SAS, SQL, Python, MS Excel, PowerPoint, and visualization tools is essential. Domain skills required include a good understanding of banking domains, data lineage, audit frameworks, data quality and governance frameworks, and risk and control metrics. Knowledge of finance regulations and audit processes is preferred. Soft skills such as problem-solving, communication, project management, mentoring, and stakeholder management are crucial for success in this role. The ability to work well across multiple functional areas, thrive in a dynamic environment, and contribute to organizational initiatives is also important. Ideal candidates will hold an MBA or Masters Degree in Economics, Information Technology, Computer Applications, or Engineering from a premier institute, along with 8 to 12 years of hands-on experience in delivering Data Governance solutions, with a minimum of 4 years in the banking industry. If you are someone with a proactive approach to problem-solving, excellent interpersonal skills, and the ability to work effectively in a team, this role offers an exciting opportunity to make a significant impact on data-driven transformation within Citi.,

As a Data Analyst Assistant Vice President (AVP) with Analytics Information Management (AIM) at Citi, you will be part of a global community dedicated to driving data-driven transformation across the organization. Your role will involve working closely with Citi businesses and functions worldwide to create actionable intelligence for business leaders. The Data Management team, which you will be a part of, is responsible for implementing best-in-class data quality measurement programs in the retail consumer bank. You will play a crucial role in various areas including regulatory support, metrics design, data governance, DQ scorecards, issue management, and audit support. Your responsibilities as a Data Analyst - AVP will include executing data strategies, defining data controls throughout the data life cycle, developing data governance policies, ensuring data compliance with laws and regulations, and collaborating with data owners on data governance policies and the data operating model. To excel in this role, you should have expertise in collating and reviewing data requirements, understanding metadata lineage, defining data steward procedures, reviewing data controls, and tracking KPIs progress for critical milestones. Proficiency in tools such as SAS, SQL, Python, MS Excel, PowerPoint, and visualization tools is essential. In addition to technical skills, you should possess domain knowledge in banking, data lineage, audit framework, data quality, and governance framework, as well as risk and control metrics. Knowledge of finance regulations and understanding of audit processes would be advantageous. Soft skills are also important for this role, including the ability to solve complex business problems, excellent communication and interpersonal skills, good process/project management skills, mentoring abilities, and a proactive approach to problem-solving. You should be able to work well across multiple functional areas and thrive in a dynamic and fast-paced environment. Ideally, you should hold an MBA or Masters Degree in Economics, Information Technology, Computer Applications, or Engineering from a premier institute, or a BTech/B.E in relevant fields. You should have 8 to 12 years of hands-on experience in delivering data governance solutions, with at least 4 years of experience in the banking industry. If you are looking for a challenging role where you can contribute to organizational initiatives, collaborate with stakeholders, and drive data-driven transformation, this position as a Data Analyst - AVP at Citi may be the perfect fit for you.,

You are a highly motivated and detail-oriented Data Catalog Analyst with expertise in erwin Data Intelligence Suite (DIS), particularly the erwin Data Catalog module. Your main responsibility will be to build and maintain a centralized metadata repository that enables data discovery, lineage, and governance across the enterprise. You will configure, implement, and maintain the erwin Data Catalog to support enterprise metadata management. It will be your duty to harvest metadata from various data sources such as databases, ETL tools, BI platforms, etc., ensuring accuracy and completeness. Your role will involve developing and maintaining data lineage, impact analysis, and data flow documentation. Collaboration with data stewards, business analysts, and IT teams is essential for defining and enforcing metadata standards and governance policies. You will also support the creation and maintenance of business glossaries, technical metadata, and data dictionaries. Ensuring metadata is accessible and well-organized to enable data discovery and self-service analytics will be one of your priorities. You are expected to provide training and support to business and technical users on effectively using the erwin platform. Monitoring system performance and troubleshooting issues related to metadata ingestion and cataloging will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Additionally, you should have at least 3 years of experience in data governance, metadata management, or enterprise data architecture. Hands-on experience with erwin DIS, especially erwin Data Catalog and erwin Data Modeler, is required. Knowledge of other tools like Collibra, Atlasian, etc., can also be considered. A strong understanding of metadata management, data lineage, and data governance frameworks (e.g., DAMA-DMBOK) is necessary. You should be familiar with relational databases, data warehouses, and cloud data platforms (e.g., AWS, Azure, GCP), along with proficiency in SQL and data profiling tools. Preferred skills for this role include experience with other data governance tools (e.g., Collibra, Informatica, Alation), knowledge of regulatory compliance standards (e.g., GDPR, HIPAA, CCPA), strong communication and stakeholder engagement skills, knowledge of creating documentation, experience with Agile methodology, and the ability to work independently and manage multiple priorities in a fast-paced environment.,

As a Senior Data Analyst (C11) at Citi's Analytics Information Management (AIM) team, you will be an integral part of a global community dedicated to driving data-driven transformation across the organization. Your primary focus will be on creating actionable intelligence for business leaders by implementing best-in-class data quality measurement programs within the retail consumer bank on a global scale. Your responsibilities will include supporting critical areas such as regulatory compliance by executing business data quality measurements in alignment with programs like CCAR and AML. You will also play a key role in designing metrics, standardizing data definitions, preparing scorecards, managing data governance, identifying and resolving issues, and providing support for audits. To excel in this role, you must possess strong analytical skills, with the ability to analyze and visualize data, formulate analytical methodologies, identify trends and patterns, and generate actionable business insights. Proficiency in tools like SAS, SQL, Python, MS Excel, PowerPoint, and VBA will be advantageous. Additionally, a good understanding of data definitions, data lineage, data quality frameworks, and process improvement related to compliance and data quality initiatives is essential. Experience in designing KPIs, issue resolution, remediation activities, and identifying control gaps will be beneficial. Ideal candidates should hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A background in Computer Science, Mathematics, Operations Research, Econometrics, or Management Science is preferred. You should have 5 to 8 years of hands-on experience delivering data quality solutions, with at least 2 years in the Banking Industry. In addition to technical skills, soft skills such as the ability to solve complex business problems, excellent communication, interpersonal skills, process/project management abilities, and the capacity to work effectively across functional areas will be crucial. You should thrive in a dynamic, fast-paced environment. If you are excited about leveraging your expertise to drive data-driven transformation and create actionable intelligence within a global banking environment, we encourage you to apply for this challenging and rewarding position.,

Job Title: Data Governance & Management Associate Location: Bangalore, India Role Description The Compliance and Anti-Financial Crime (CAFC) Data Office is responsible for Data Governance and Management across key functions including AFC, Compliance, and Legal. The team supports these functions in establishing and improving data governance to achieve critical business outcomes such as effective control operation, regulatory compliance, and operational efficiency. The CAFC Data Governance and Management team implements Deutsche Bank’s Enterprise Data Management Framework—focusing on controls, culture, and capabilities—to drive improved data quality, reduce audit and regulatory findings, and strengthen controls. As a member of the Divisional Data Office, the role holder will support both Run-the-Bank and Change-the-Bank initiatives, with a particular focus on Financial Crime Risk Assessment (FCRA) data collation, processing, testing, and automation. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Document and maintain existing and new processes; respond to internal and external audit queries and communicate updates clearly to both technical and non-technical audiences. Independently manage the FCRA data collection process including data collection template generation, quality checks, and stakeholder escalation. Execution of data cleansing and transformation tasks to prepare data for analysis. Perform variance analysis and develop a deep understanding of underlying data sources used in Financial Crime Risk Assessment. Documentation of data quality findings and recommendations for improvement/feeding into the technology requirements. Work with Data Architecture & developers to design and build data FCRA Risk data metrics. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. To ensure new data sources align with Deutsche Bank’s Data Governance standards, maintain metadata in Collibra, visualize data lineage in Solidatus, and ensure certification and control coverage. Automate manual data processes using tools such as Python, SQL, Power Query and MS excel to improve efficiency and reduce operational risk. Translate complex technical issues into simple, actionable insights for business stakeholders, demonstrating strong communication and stakeholder management skills. Your skills and experience 6+ years of experience in data management within financial services, with a strong understanding of data risks and controls. Familiarity with industry-standard frameworks such as DCAM or DAMA (certification preferred). Hands-on experience with Data cataloguing using Collibra, Data lineage documentation using Solidatus and Data control assessment and monitoring Proficiency in Python, SQL, and Power Query/excel for data analysis and automation. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively across global teams. How we’ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information:

Job Title: OCI Data Catalog Specialist Experience Level: 3+ Years Job Level: Consultant / Senior Consultant (based on total experience) Work Location: Hyderabad, Bangalore, Chennai, Mumbai, Pune, Kolkata, Gurgaon Work Mode: Hybrid (Minimum 2 days/week from office) Work Timings: 10:00 AM - 7:00 PM IST Contract to Hire Role Overview: We are looking for a skilled and proactive OCI Data Catalog PoC Specialist to design, implement, and demonstrate a Proof of Concept (PoC) for Oracle Cloud Infrastructure (OCI) Data Catalog as part of a strategic data governance initiative. The role involves showcasing OCI Data Catalog features, evaluating its fit for business needs, and guiding future adoption in production. Key Responsibilities: Lead the end-to-end delivery of the OCI Data Catalog PoC . Collaborate with client stakeholders to understand data governance goals and cataloging needs. Configure and integrate OCI Data Catalog with data sources including: Oracle Autonomous Database OCI Object Storage On-premises databases Develop and execute test scenarios for: Metadata harvesting Data lineage Data classification Stewardship and search Integrate OCI Data Catalog metadata output with Marketplace applications for automated sharing. Troubleshoot PoC issues and coordinate with Oracle support. Document PoC results , provide lessons learned, and recommend steps for production rollout. Provide training and knowledge transfer sessions to client teams. Required Skills and Experience: 3+ years of experience in data management, governance, or cloud-based data solutions. Hands-on experience with OCI Data Catalog is mandatory . Strong understanding of: Metadata management Data lineage Classification and cataloging principles Proven experience integrating data catalogs with multiple source types (cloud + on-prem). Familiarity with Oracle Cloud Infrastructure (OCI) and associated data services. Strong analytical, communication, and documentation skills. Ability to work with cross-functional teams and present findings to both technical and business stakeholders . Good to Have: Experience with other data governance tools or frameworks. Exposure to Oracle Marketplace and its integration with metadata workflows. Prior experience in client-facing PoC or advisory roles in cloud data environments.

Experience- 15 to 18 years Total 15 to 18 years. with at-least 3 to 4 years as expertise in ETL, data engineering and Cloud Technologies, with a proven ability to orchestrate cutting-edge technology to connect various applications within the cloud environment in a large development project. Primary Technical Skills ETL, Apache Spark, AWS EMR, EKS, Serverless, Data Engineering, Distributed Computing, Data Lineage, Apache Airflow Java 17+, Springboot/ Quarkus, Hibernate ORM, REST, Postgres or any RDBMS, Microservices, Cloud-native development , Experience in ETL implementation using Cloud technologies, Distributed computing and Big data processing. Orchestrate the integration of Cloud-native principles, Kubernetes, Micro profile specs, Spark framework. Hands-on Java Lead. Strong in OOPs concepts, Java design patterns, Reactive programming, writing High level solutions & Clean architecture. Very strong advocate of coding best practices (SOLID, DRY, Clean Code, Exception handling, TDD, Unit testing, Integration testing). Have implemented common framework for an application/platform (like Exception Library, Security Authentication/Authorization, Auditing, Idempotency, Connectors etc) Experience in implementing HLD, Microservices architecture, design patterns like Resiliency, Service Orchestration, DB per service, CQRS etc. Interested candidates share your CV at himani.girnar@alikethoughts.com with below details Candidate's name- Email and Alternate Email ID- Contact and Alternate Contact no- Total exp- Relevant experience- Current Org- Notice period- CCTC- ECTC- Current Location- Preferred Location- Pancard No-

As an experienced Business Analyst in the Regulatory domain, you will be responsible for leading the techno-functional role within our organization. Your expertise in credit risk, market risk, regulatory reporting, and data lineage, combined with a solid understanding of governance, risk, and compliance processes, will be crucial for success in this role. Your main responsibilities will include but not be limited to: - Having prior experience with regulatory reporting (Minimum 5+ years) - Demonstrating the ability to understand an application and draw information/data workflow diagrams - Working effectively in a large project environment - Creating mock-ups of dashboards/charts for user review during requirements finalization - Utilizing Agile/JIRA experience, being SCRUM Trained - Previous experience in GSIB is preferred - Participating in Scrum Calls for assigned EPIC - Formatting EPIC summary authoring - Creating EPIC Feature List/Product Design - Analyzing, writing, and grooming stories - Classifying/Maintaining stories - Conducting Data Analysis - Writing Application Services User Guides - Providing Prod Support upon code delivery - Supporting Test Analysis for SIT/UAT - Possessing excellent communication skills In this role, you will work closely with stakeholders across Business lines for transformation projects, understanding their business processes, and providing functional design inputs for proposed technology solutions. You will be responsible for creating high-quality documentation for Business and Functional Requirements and ensuring traceability of requirements from BRD to Test Plan/Results. Additionally, your role will involve analyzing large data sets, creating flow diagrams, preparing high-level summaries and workflows, and collaborating closely with development leads on enhancements and defects. You will engage successfully with software developers and testers to ensure quality delivery on time. Your responsibilities will also include planning, estimating, managing risks and issues, project reporting, managing stakeholders, and building strong relationships with the business. You will assist in project execution through JIRA, providing tracking to technical teams, and offering status updates to internal and business stakeholders.,

As the Data Lineage Lead, your primary responsibility will be to define and lead Data Lineage standards while continuously evolving them. You will play a crucial role in enhancing data lineage by proactively presenting ideas with use cases and identifying opportunities for process improvements within the team. Additionally, you will be tasked with upskilling the staff by recognizing knowledge gaps and fostering a culture of continuous learning. Your role will also involve creating a Data Management Centre of Excellence in India and collaborating with Business Divisions/Group Functions to establish combined Objectives and Key Results to ensure successful completion. You will be responsible for owning the standard operating procedures for the CDO Data Lineage team, as well as the escalation framework to ensure adherence. In this position, you will be expected to flag discrepancies and anomalies in data to the appropriate forums and track them to closure. You will review and own policies and standards for the Data Lineage team, perform control testing for Data Lineage and maintenance, and provide support during audits. Key Responsibilities: - Demonstrating subject matter expertise in business/support functions such as Risk, Finance, and Wholesale banking - Previous experience in Data Management Operations or Data Lineage is preferred - Minimum of 12 years of experience in Data Management/Business Analysis - Proficiency in Data Governance and/or Data Quality Management - Familiarity with banking or capital markets regulations including BCBS 239, IFRS, and CCAR, with an understanding of the KDO/CDE lifecycle - Skilled in senior management communications and decision-making - Ability to drive organizational changes and influence stakeholders - Methodical, concise, and accurate with a strong attention to detail - Collaborative mindset with the capability to integrate teams towards a common goal, listen to diverse views, and facilitate decision-making - Proficient in driving organizational and team culture enhancements In summary, as a Data Lineage Lead, you will be at the forefront of establishing and maintaining Data Lineage standards, driving improvements, and fostering a culture of excellence and continuous learning within the team.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. As an OFSAA Senior, your role involves leading and driving OFSAA implementation/consulting projects, managing practice-level engagements, and driving business growth. You will be accountable for fulfilling business goals, meeting budgets, maintaining strategic direction, and ensuring the quality of delivery by consultants within their engagements. Your Client Responsibilities include good communication and presentation skills for client interaction, supporting client needs by delivering multiple OFSAA implementation/consulting projects, developing innovative approaches for expanding practice footprint, directing business operations and consulting resources, assessing and managing business risks, and maintaining strategic direction for profitable growth. In terms of Your People Responsibilities, you should have experience with OFSAA implementations and/or a Financial Services background, the ability to lead large teams for exceptional client services, experience with managing ETL and Reporting applications, and accountability for operational, financial, people metrics, and overall business results. Additional Skills Requirements include delivering large/medium OFSAA programs, demonstrating expert core consulting skills, performing a role in business development, demonstrating man management, strong understanding of data lineage, maintaining end-to-end accountability for customer satisfaction, and having a proactive, logical, and organized approach to problem resolution. EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across various services.,

As a Data Analyst Assistant Vice President (AVP) at Citi's Analytics Information Management (AIM) team, you will be part of a global community driving data-driven transformation across the organization. Working closely with Citi businesses and functions worldwide, you will play a vital role in creating actionable intelligence for business leaders. Your responsibilities will include executing data strategies, defining data controls, and ensuring data compliance with global and local laws and regulations. You will collaborate with data owners to implement data governance policies and operating models, as well as track KPIs progress for critical milestones. To excel in this role, you must have expertise in collating and reviewing data requirements, understanding metadata lineage, and reviewing data controls. Proficiency in tools such as SAS, SQL, Python, MS Excel, PowerPoint, and visualization tools is essential. Additionally, a good understanding of banking domains, data lineage, audit frameworks, data quality, and governance frameworks is required. Preferred skills include knowledge of finance regulations, exposure to BI tools like Tableau, and automation/process re-engineering skills. Soft skills such as problem-solving, communication, project management, and mentoring abilities are also crucial for success in this role. Ideal candidates will hold an MBA or Masters Degree in Economics, Information Technology, Computer Applications, or Engineering from a premier institute. A minimum of 8 to 12 years of hands-on experience in delivering Data Governance solutions, with at least 4 years in the Banking Industry, is required. If you are someone with a disability requiring accommodation to use the search tools or apply for a career opportunity, please review Accessibility at Citi. Citi's EEO Policy Statement and the Know Your Rights poster are available for your reference. Join us at Citi AIM and be part of a dynamic and fast-paced environment, contributing to organizational initiatives and making a significant impact through your data analysis and governance expertise.,

The role of a Data Catalog Analyst is crucial in establishing and maintaining a centralized metadata repository to facilitate data discovery, lineage, and governance across an organization. As a Data Catalog Analyst, your primary responsibility will involve configuring, implementing, and managing the erwin Data Catalog to ensure effective metadata management. You will be required to extract metadata from diverse data sources and guarantee its accuracy and completeness. Collaboration with data stewards, business analysts, and IT teams will be essential to define and enforce metadata standards and governance policies. Additionally, you will play a key role in developing and sustaining data lineage, impact analysis, and data flow documentation. Your expertise will be instrumental in supporting the creation and upkeep of business glossaries, technical metadata, and data dictionaries. Facilitating data discovery and self-service analytics will be a core aspect of your role. This will entail ensuring that metadata is easily accessible and well-organized to enable efficient utilization by business and technical users. Providing training and assistance to users on leveraging the erwin platform effectively will also be part of your responsibilities. Monitoring system performance, troubleshooting metadata ingestion and cataloging issues, and ensuring seamless operational functionality will be critical tasks. As a qualified candidate, you should possess a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field along with a minimum of 3 years of experience in data governance, metadata management, or enterprise data architecture. Proficiency in erwin DIS, particularly erwin Data Catalog and erwin Data Modeler, is required. A strong understanding of metadata management, data lineage, and data governance frameworks such as DAMA-DMBOK is essential. Familiarity with relational databases, data warehouses, and cloud data platforms like AWS, Azure, and GCP is preferred. Proficiency in SQL, data profiling tools, and experience with other data governance tools are advantageous. Preferred skills include knowledge of regulatory compliance standards, strong communication abilities, stakeholder engagement skills, experience in documentation creation, familiarity with Agile methodology, and the capability to work independently while managing multiple priorities in a fast-paced environment.,

Greetings for the Day! At least 8 years experience in a similar role in data management/analytics/architecture or engineering Experience with solution design and data modelling Experience working with metadata and an appreciation for metadata frameworks and ontologies A technical understanding of data transport mechanisms An understanding of data mesh and data product concepts Technical or physical data lineage experience is preferable Evidenced experience in documenting requirements and designing solutions to meet objectives in an efficient and robust way Experience within project or risk management change environment Recognition of being strong communicator, with excellent written and oratory ability A track record as an Agile and change management practitioner Signs of having the enthusiasm to identify, learn and coach others in new data, modelling and risk processes

OCI Data Catalog Oracle Cloud Infrastructure (OCI) Metadata Management Data Lineage Data Classification Data Stewardship Data Governance Cloud Data Integration Oracle Autonomous Database Oracle Object Storage PoC Delivery (Proof of Concept) Cloud Data Management SQL ETL Tools (e.g., Oracle Data Integrator, Informatica, etc.) Data Catalog Tools (e.g., Collibra, Alation, Azure Purview for comparative experience) On-premise to Cloud Integration API Integration (for metadata harvesting)

What We Are Looking Mandatory collibra tool experience With Collibra tool experience, Data Governance, Data Quality, Data Lineage, Data Analysis, Data Mapping, Data Management . Kindly Share CV'S to afreen.banu@in.experis.com Along with your Alternate MAIL ID'S And Contact Number.

As the Lead Data Governance, your main responsibility will be to oversee data accuracy and identify data gaps within critical data repositories such as Data Lake, BIU Data warehouse, and Regulatory data marts. You will be tasked with developing control structures to ensure data quality and data lineage, conceptualizing and reviewing Data Quality Functional and Technical Rules, and monitoring DQ parameters to collaborate with operational, business, and tech teams for data gap remediation. Moreover, you will be in charge of metadata management, data profiling, and developing guidelines for data handling across the organization. In addition to the primary responsibilities, you will be required to implement data governance strategies, support architectures, and develop data visualization techniques for effective data management. It will also be your duty to design and refine solution blueprints to meet evolving business needs, foster innovation, drive continuous improvement, and demonstrate a strong commitment to goal achievement. Furthermore, your secondary responsibilities will involve stakeholder management, creating data remediation projects, understanding business requirements, leading the team, upskilling team members, and ensuring productivity and quality of deliverables. Additionally, you will be responsible for attracting and retaining talented individuals within your reporting structure. To be successful in this role, you must ensure accurate and consistent data, conduct timely DQ checks, and address any data quality issues in BIU Datamarts. The ideal candidate will hold a Bachelor's degree in Science, Technology, or Computer Applications, along with a Master's degree in the relevant field. A minimum of 10 years of experience in data governance is required to excel in this position.,

You will be joining KPMG in India, a professional services firm affiliated with KPMG International Limited. Established in August 1993, KPMG in India operates through various offices located in cities such as Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. By leveraging the global network of firms, our professionals possess in-depth knowledge of local laws, regulations, markets, and competition. At KPMG in India, we cater to both national and international clients across diverse sectors by providing rapid, performance-based, industry-focused, and technology-enabled services. Our offerings are designed to showcase a comprehensive understanding of global and local industries along with our expertise in the Indian business landscape. We are currently seeking an individual with proficiency in liquidity reporting, regulatory reporting, data lineage, MS Visio, and good verbal communication skills. At KPMG in India, we are committed to promoting equal employment opportunities for all candidates.,

The primary responsibility of this role is to evolve the WCS IT landscape using a data-driven approach. You will be tasked with defining, designing, and driving the data architecture roadmap for WCS IT, which includes enterprise data architecture. Collaborating closely with Product Owners, Business & IT stakeholders across the WCS IT landscape will be essential to understand requirements and provide solutions tailored to meet the needs. You will also be responsible for creating DFDs and data lineage diagrams to comprehend the current state and work with stakeholders to align with the future roadmap while adhering to HSBC defined standards. Understanding system integrations within and outside WCS IT applications, API integration, and various data formats like JSON, XML, etc., will be a crucial part of the role. Analyzing business requirements related to data flows across applications/systems and collaborating with Product owners and POD teams for development aligned with data architecture and designs will also be a key aspect. Additionally, designing and developing tools for automation and scripting for data extraction, transformation, and loading as per business requirements will be part of your responsibilities. Collaborating with Program, Department, and Enterprise architects of HSBC to drive data architecture and deliver expected business outcomes by designing, developing, and implementing solutions is vital. Following the DevOps model in day-to-day delivery and fostering innovation within the team by encouraging the development of new ideas, PoCs, exploring new technologies, participating in hackathons, and attending forums and sessions will be encouraged. Ensuring adherence to best practices, guidelines, and data security standards in the BFS industry is crucial. The ideal candidate for this role must have a vast experience in data architecture, defining and driving enterprise data architecture. Proficiency in understanding microservices architecture, REST APIs, reading and parsing JSON, XML, and other data structures, as well as developing an understanding of data attributes and values between systems is required. Experience with data modeling, DFD, Data lineage tools like Visio and reverse engineering tools is essential. Previous experience working in the Banking and Financial service industry, specifically with an MNC Bank of the size of HSBC, is mandatory. Moreover, the candidate must possess experience in analyzing large datasets, JSONs, XMLs, and other formats, writing scripts for data extraction, transformation, and loading using tools or developed automation tools. Working experience with databases like PostgreSQL, Oracle, MongoDB, and others is necessary. Familiarity with Agile and DevSecOps methodologies is a must. An inclination to explore new technologies, innovate beyond project work, and excellent communication skills both written and verbal are prerequisites for this role. About the Company: Purview is a leading Digital Cloud & Data Engineering company headquartered in Edinburgh, United Kingdom, with a presence in 14 countries, including India, Poland, Germany, Finland, Netherlands, Ireland, USA, UAE, Oman, Singapore, Hong Kong, Malaysia, and Australia. The company has a strong presence in the UK, Europe, and APEC regions, providing services to Captive Clients such as HSBC, NatWest, Northern Trust, IDFC First Bank, Nordia Bank, among others. Purview also supports various top-tier IT organizations to deliver solutions and workforce/resources. Company Info: 3rd Floor, Sonthalia Mind Space Near Westin Hotel, Gafoor Nagar Hitechcity, Hyderabad Phone: +91 40 48549120 / +91 8790177967 Gyleview House, 3 Redheughs Rigg, South Gyle, Edinburgh, EH12 9DQ. Phone: +44 7590230910 Email: careers@purviewservices.com Login to Apply!,

You will play a crucial role in enhancing the Analytics capabilities for our businesses. Your responsibilities will include engaging with key stakeholders to comprehend Fidelity's sales, marketing, client services, and propositions context. You will collaborate with internal teams such as the data support team and technology team to develop new tools, capabilities, and solutions. Additionally, you will work closely with IS Operations to expedite the development and sharing of customized data sets. Maximizing the adoption of Cloud-Based Data Management Services will be a significant part of your role. This involves setting up sandbox analytics environments using platforms like Snowflake, AWS, Adobe, and Salesforce. You will also support data visualization and data science applications to enhance business operations. In terms of stakeholder management, you will work with key stakeholders to understand business problems and translate them into suitable analytics solutions. You are expected to facilitate smooth execution, delivery, and implementation of these solutions through effective engagement with stakeholders. Your role will also involve collaborating with the team to share knowledge and best practices, including coaching on deep learning and machine learning methodologies. Taking independent ownership of projects and initiatives within the team is crucial, demonstrating leadership and accountability. Furthermore, you will be responsible for developing and evaluating tools, methodologies, or infrastructure to address long-term business challenges. This may involve enhancing modelling software, methodologies, data requirements, and optimization environments to elevate the team's capabilities. To excel in this role, you should possess 5 to 8 years of overall experience in Analytics, with at least 4 years of experience in SQL, Python, open-source Machine Learning Libraries, and Deep Learning. Experience working in an AWS Environment, preferably using Snowflake, is preferred. Proficiency in analytics applications such as Python, SAS, SQL, and interpreting statistical results is necessary. Knowledge of SPARK, Hadoop, and Big Data Platforms will be advantageous.,

At EY, you will have the opportunity to shape a career that is as unique as you are. With our global reach, supportive environment, inclusive culture, and cutting-edge technology, you can strive to become the best version of yourself. We value your individual voice and perspective, and we rely on them to drive innovation and improvement within EY. Join us in creating an exceptional experience for yourself while contributing to a better working world for all. As an OFSAA Manager, your primary responsibility will be to lead and oversee OFSAA implementation and consulting projects. You will manage engagements at the practice level, drive business growth, and ensure the successful achievement of business goals. Your role will involve maintaining strategic direction, meeting budgets, and upholding the quality of delivery by consultants in their respective engagements. Client Responsibilities: - Demonstrate excellent communication and presentation skills for effective client interaction. - Work with clients across various stages of the implementation lifecycle. - Support client requirements by executing multiple OFSAA implementation and consulting projects. - Identify innovative approaches and business opportunities to expand the practice's presence in the client ecosystem. - Direct business operations and consulting resources to assist clients in implementing OFSAA solutions. - Assess and mitigate business risks to achieve practice goals. - Maintain strategic direction, drive profitable growth, ensure quality consulting delivery, and uphold customer referenceability. People Responsibilities: - Possess experience in OFSAA implementations or a background in financial services with similar solution implementations. - Ability to lead large teams and ensure exceptional client service delivery. - Proficient in managing ETL (e.g., ODI, INFORMATICA) and Reporting (e.g., OBIEE, POWERBI) applications. - Responsible for people management, portfolio/delivery management, and sales enablement within the practice. - Accountable for operational, financial, and people metrics, as well as overall business outcomes of the competency. - Familiarity with OFSAA EPM, ERM, FCCM, IFRS solutions, and other OFSAA suite offerings. - Skilled in products/technologies, frameworks, business metadata management, and relevant architectural components. - Strong command over SQL-PL/SQL, with the ability to design transformations. - Proficient in OFSAA staging and reporting data models. - Experience in data model enhancements and working as a data model architect. - Strong business acumen to drive innovation and automation efforts. Additional Skills Requirements: - Lead large/medium OFSAA programs and demonstrate advanced consulting skills and OFSAA knowledge. - Contribute to business development through presales, practice development, and internal engagement. - Exhibit effective man management skills and lead consultancy assignments. - Proficient in data lineage and building load utility tools such as OFSAA Excel File Upload, File to Table (F2T), Table to Table (T2T), Unified Metadata Manager, SCD, AMHM, etc. - Maintain end-to-end accountability for customer satisfaction and delivery excellence. - Prioritize deliveries in collaboration with the implementation team. - Approach problem resolution proactively, logically, and in an organized manner. - Ability to clearly articulate problems and proposed solutions. - Openness to learning and quick adaptation to changing requirements. Join EY in our mission to build a better working world, where we strive to create long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams across 150+ countries leverage data and technology to provide assurance and support clients in their growth, transformation, and operations across various sectors. With expertise in assurance, consulting, law, strategy, tax, and transactions, EY teams tackle complex global challenges by asking better questions to find innovative solutions.,