136 Data Stewardship Jobs - Page 6

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. ? Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. ? Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. ? Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains ? Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations?. Build strong relationship with key business leads and partners to ensure their needs are met . Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc ) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications Minimum experience with 5 - 8 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Stewards to increase the trust and reuse of data across Amgen. Roles & Responsibilities Contribute to the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Assess and document with the stakeholder community their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. ? Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. ? Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains ? Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations?. Functional Skills: Must-Have Functional Skills: General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. General knowledge with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy . Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: K nowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used for data management . E.g. Collibra, Ataccama Data Quality platform. Experience with Agile software development methodologies (Scrum ) Soft Skills: Good analytical skills Ability to work effectively with global, virtual teams Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Good verbal and written communication skills Basic Qualifications Minimum Experience with 2 - 5 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

Understanding and experience with Master Data Management Applications Such as Semarchy , Markit EDM and data governance practices, data visualization platform like Microsoft Power BI, or Tableau a plus. Exp with agile scrum methodology. Required Candidate profile Review requirements with business stakeholder. Establish daily platform monitoring & reconciliation break resolution define governance framework. Translate requirements into actionable stories.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Steward who will be responsible for ensuring the accuracy, completeness, and reliability of master data across critical business domains such as Customer, Product, Affiliations, and Payer. This role involves actively managing and curating master data through robust data stewardship processes, comprehensive data cataloging, and data governance frameworks utilizing Informatica or Reltio MDM platforms. Additionally, the incumbent will perform advanced data analysis, data validation, and data transformation tasks through SQL queries and Python scripts to enable informed, data-driven business decisions. The role emphasizes cross-functional collaboration with various teams, including Data Engineering, Commercial, Medical, Compliance, and IT, to align data management activities with organizational goals and compliance standards. ? Roles & Responsibilities? ? Responsible for master data stewardship, ensuring data accuracy and integrity across key master data domains (e.g., Customer, Product, Affiliations). Conduct advanced data profiling, cataloging, and reconciliation activities using Informatica or Reltio MDM platforms. Manage the reconciliation of potential matches, ensuring accurate resolution of data discrepancies and preventing duplicate data entries. Effectively manage Data Change Request (DCR) processes, including reviewing, approving, and documenting data updates in compliance with established procedures and SLAs. Execute and optimize SQL queries for validation and analysis of master data. Perform basic Python for data transformation, quality checks, and automation. Collaborate effectively with cross-functional teams including Data Engineering, Commercial, Medical, Compliance, and IT to fulfill data requirements. Support user acceptance testing (UAT) and system integration tests for MDM related system updates. Implement data governance processes ensuring compliance with enterprise standards, policies, and frameworks. Document and maintain accurate SOPs, Data Catalogs, Playbooks, and SLAs. Identify and implement process improvements to enhance data stewardship and analytic capabilities. Perform regular audits and monitoring to maintain high data quality and integrity. Basic Qualifications and Experience? Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field? OR ?? Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field? OR ? Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field? Functional Skills: ? Must-Have Skills: ? Direct experience in data stewardship, data profiling, and master data management. Hands-on experience with Informatica or Reltio MDM platforms. Proficiency in SQL for data analysis and querying. Knowledge of data cataloging techniques and tools. Basic proficiency in Python scripting for data processing. Good-to-Have Skills: ? Experience with PySpark and Databricks for large-scale data processing. Background in the pharmaceutical, healthcare, or life sciences industries. Familiarity with AWS or other cloud-based data solutions. Strong project management and agile workflow familiarity (e.g., using Jira, Confluence). Understanding of regulatory compliance related to data protection (GDPR, CCPA). Professional Certifications ? Any ETL certification ( e.g. Informatica)? Any Data Analysis certification (SQL)? Any cloud certification (AWS or AZURE)? Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Key Skills : Data analysis, data analytics, business intelligence, Tableau With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Senior Data Analyst In this role, as Senior Data Analyst, you will support the Data Owners, Data Consumers and Data Stewards in an Enterprise Data Remediation Process intended to remediate data concerns which arise from enterprise data not meeting quality requirements. Responsibilities Analyze if a newly logged data concern is/related to an existing data concern/issue. Conduct Root Cause Analysis which determines the Break Point for Remediation. Defects identified in this process will answer “What” is broken, “where” the break occurred, and the underlying Root Cause, the "Why” of the occurrence. Review and validate data provided and obtain new data where required to commence the Root Cause Analysis (RCA) Process. Analyze Data Quality Rule results to recommend Data Quality Rule modifications or, the need to investigate a Data-Related issue. Document the details of RCA by Recursive Data Transformation review and determine the Root causes of defects. Identify potential preventive measures, tactical and/or strategic system for fixes. Conduct detailed Impact Analysis Confirm Remediation Ownership Improve Data Quality rules including Data Construct, Critical Data Element, Rule registration in Collibra, scripting business rules, collaborating with Technology to implement Rules, Testing implementation of rules. Present Updates to Data Owners and Leadership in the form of Overview Documents, RCA Templates and other Presentations as required. Create Jira Stories and Close them with evidence at the end of each Sprint. Qualifications we seek in you! Minimum Qualifications Relevant experience in any of the following Data Management areas including, Data Cataloging, Data Lineage, Data Quality Rules, Score card Monitoring. Knowledge of Banking & Capital Market, Liquidity, Payments, Deposits (DDA, Core) from a Risk, Finance, Compliance, Operations or Technology perspective. Strong Data Analysis and Problem-solving skills using excel Thrives in a collaborative environment working with cross functional teams Strong interpersonal skills, interacting with clients both on the business side as well as technical specialists Has worked in an agile environment. Strong Communication and Presentation Skills Bachelor’s degree in finance, Accounting, Economics, Engineering, Computer Science Preferred Qualifications/ Skills Familiarity with Basel II, III, CCAR, CECL, FR 2052A, FDIC and other similar Banking regulations HPALM or similar tool in Issue Management Data Analysis using SQL Collibra JIRA Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement data governance policies and procedures. Collaborate with stakeholders to define data standards. Facilitate effective data collection, storage, access, and usage. Drive data stewardship initiatives for comprehensive data governance. Ensure compliance with data governance policies and regulations. Professional & Technical Skills: Must To Have Skills: Proficiency in Collibra Data Governance. Strong understanding of data governance principles. Experience in implementing data governance frameworks. Knowledge of data quality management. Familiarity with data privacy regulations. Additional Information: The candidate should have a minimum of 3 years of experience in Collibra Data Governance. This position is based at our Pune office. A 15 years full time education is required. Qualification 15 years full time education

About the role This role will maintain and develop the data governance and management function for the account supporting the regional context, in tight cooperation with the global structures. This role will be responsible for building a solid and long-term data governance program aimed at reducing organizational risks coming from poor quality of real estate data. This position will report to the APAC Regional Data Governance Lead, and functionally will be embedded in the Account structures. Specifically, this position will involve: Following the guidance from the broader Data Governance team, development and maintenance of the Client Account level Data Governance policies, processes, and data standards Establishment and development of Client Account data governance and management framework across service lines to ensure the consistency and integrity of the data Data profiling followed by defining and maintenance of compliance, usage, and quality metrics Oversight of Master Data Management for critical data elements - the key repository involving gatekeeping of standards, and promoting the procedures Daily business communication and relationship building with multiple stakeholders, both internal and external, to solve ongoing data issues and democratize knowledge on data, including development of mature Data Stewardship program Creation and maintenance of the Data Dictionaries Facilitating meetings with data consumers, data stewards, data producers and other stakeholders to ensure data governance rules and standards are applied to data related changes/ projects Partnering with the IT, BI and service lines counterparts to understand the business context for data management activities Identifying areas for improvement and recommending solutions regarding data quality and processes Supporting the Account in knowledge management by establishing and documenting data flows and processes Sound like you Before you apply its worth knowing what we are looking for: Required Qualifications, Skills & Experience 2+ years of data governance / data management related experience in an enterprise environment across multiple application systems and business functions Strong experience in Client Relationship Management Experience in a role of business analyst or similar Familiarity with SQL and database management processes High level of attention to detail and accuracy and ability to make effective decisions and solve problems Knowledge of data lifecycle and maintenance processes Good understanding of data quality management (processes and concepts) Knowledge of data governance and how it impacts business processes Advanced skills in MS Excel, Word, and PowerPoint required Skills Relationship management skills: excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections Strong ownership - responsibility paired with engagement Demonstrated information management, analytics and data profiling skills. Control, compliance, audit, risk management and relevant experience in risk identification, assessment, monitoring, and remediation will be helpful. Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space. Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues. Consulting and organization skills. Demonstrated ability to facilitate mission-critical projects. Manage task timelines and deliverable schedules, recognize and share risks and roadblocks. Collaborative, imaginative, resourceful, reliable, technically savvy. Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues. Good understanding of data quality management. Knowledge of data governance and how it impacts business processes.

Overview We are seeking an experienced and strategic leader to join our Business Intelligence & Reporting organization as Deputy Director BI Governance. This role will lead the design, implementation, and ongoing management of BI governance frameworks across sectors and capability centres. The ideal candidate will bring deep expertise in BI governance, data stewardship, demand management, and stakeholder engagement to ensure a standardized, scalable, and value-driven BI ecosystem across the enterprise. Responsibilities Key Responsibilities Governance Leadership Define and implement the enterprise BI governance strategy, policies, and operating model. Drive consistent governance processes across sectors and global capability centers. Set standards for BI solution lifecycle, metadata management, report rationalization, and data access controls. Stakeholder Management Serve as a trusted partner to sector business leaders, IT, data stewards, and COEs to ensure alignment with business priorities. Lead governance councils, working groups, and decision forums to drive adoption and compliance. Policy and Compliance Establish and enforce policies related to report publishing rights, tool usage, naming conventions, and version control. Implement approval and exception processes for BI development outside the COE. Demand and Intake Governance Lead the governance of BI demand intake and prioritization processes. Ensure transparency and traceability of BI requests and outcomes across business units. Metrics and Continuous Improvement Define KPIs and dashboards to monitor BI governance maturity and compliance. Identify areas for process optimization and lead continuous improvement efforts. Qualifications Experience12+ years in Business Intelligence, Data Governance, or related roles, with at least 4+ years in a leadership capacity. Domain ExpertiseStrong understanding of BI platforms (Power BI, Tableau, etc.), data management practices, and governance frameworks Strategic MindsetProven ability to drive change, influence at senior levels, and align governance initiatives with enterprise goals. Operational ExcellenceExperience managing cross-functional governance processes and balancing centralized control with local flexibility. EducationBachelor's degree required; MBA or Masters in Data/Analytics preferred.

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise wide data governance and data management initiatives supporting the delivery of data as a service. Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes. Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements. Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements. Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed. Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements. Required Knowledge and Experience: At least 5 years of experience developing / structuring an enterprise-wide data governance organization and business process (operating models, roles, partner organizations, responsibilities). Hands-on with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions. Utilize strong business knowledge of the investment management industry and common data management operations. Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues. Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery.

In this role, youll make an impact in the following ways: Partner with stakeholders in Product, Operations and Enterprise Data Management to advance the maturity of the Conventional Trust data management framework. Help establish enterprise and business level data principles, standards and guidelines on behalf of the Conventional Trust / Structured Debt Data Office. Represent the Conventional Trust / Structured Debt Data Office in enterprise-wide data initiatives. Develop an understanding of key data attributes required by Conventional Trust / Structured Debt products and business processes. Implement processes and controls to improve quality and usability. Review, recommend and execute best practices to drive continuous data management improvements. Serve as a resource for data governance related questions and guide resolutions. Work collaboratively with the business and technology teams to conduct analysis and produce detailed project artifacts including requirements documents, data roadmaps and other analysis documentation. Support the evolution, execution and connectivity of data governance tools and technologies to support data governance initiatives. Regularly assess and refine data governance processes and policies in line with the industry best practice, to promote continuous improvement. Demonstrate management expertise and exercise influence to identify, evaluate and recommend potential objectives to support the delivery of data management services. To be successful in this role, were seeking the following: Strong stakeholder management and people skills, and the ability to manage multiple competing priorities under pressure. You will have strong analytical and management skills, are familiar with Agile methodology and played an active role in scrums such as backlog refinement, sprint planning and execution. Experience in data governance and data management and strong knowledge of best practices Experience with data modeling and mapping, including the ability to map source system data elements to a target data model, ensuring alignment of logical and physical data structures Strong organization, communication, and presentation skills Expertise of managing data and processes in a global enterprise environment with an understanding of database and schema design Excellent communication, both in listening and conveying messages to a wide range of stakeholder groups Strong conceptual and problem-solving skills, with an ability to develop creative and structured solutions Ability to influence relevant parties to ensure milestones are met. Project management via Agile execution methodology. People Leadership, be able to inspire and build momentum across a global team but you are also a team player, happy to roll up your sleeves when needed. Technical proficiencies: Working with large data sets, Collibra, Solidatus, MS Excel Banking or Financial Services experience, especially that pertaining to corporate trust or related issuer services preferred.

Collibra data quality, SQL, and Excel, stewardship, stakeholders management Data Privacy, Security, Lineage, Literacy & Analysis. Metadata Mgmnt. Agile delivery, including user story grooming and sprint planning, development, and user acceptance. Required Candidate profile Collibra Data Quality preferred Hands-on experience in data lineage, data governance, data privacy, and security best practices, SQL, and data analysis, profiling tools Should be immediate joiner