323 Collibra Jobs - Page 11

We are seeking an experienced and dedicated Senior Software Engineer with deep expertise in Collibra to join our energetic team. This role offers the opportunity to drive impactful data governance initiatives, leveraging Collibra’s capabilities to streamline workflows, enhance metadata management, and ensure alignment with industry standards and regulatory mandates. Responsibilities Support and extend Collibra capabilities, including metadata ingestion, data dictionaries, taxonomies, and data lineage to reinforce data governance policies and standards Configure and enhance Collibra workflows tailored to evolving business needs Customize Collibra data models and design seamless integrations that meet reporting and compliance requirements Develop and maintain technical documentation for Collibra configurations, workflows, and processes, ensuring alignment with internal policies and regulatory guidelines Collaborate with cross-functional teams to implement data governance frameworks and best practices Drive Agile practices and participate in multiple large-scale and complex efforts or projects Design, develop, and deliver solutions leveraging fluency in multiple programming languages and development stacks Implement test automation strategies with mastery in code-level unit and integration tests Work with both relational and non-relational data stores to design resilient and maintainable solutions Requirements Bachelor's degree in Computer Science, Engineering, or Management Information Systems, or equivalent professional experience 5+ years of hands-on experience as a Collibra SME, with expertise in supporting capabilities like metadata ingestion, data dictionaries, taxonomies, and data lineage Proven proficiency in configuring Collibra workflows and customizing Collibra data models and integrations to align with business and industry standards Background in Agile methodologies and experience balancing multiple projects or complex efforts simultaneously Skills in test automation with demonstrated expertise in designing unit and integration tests Competency in working with both relational and non-relational databases Showcase of fluency in multiple programming languages and development stacks Nice to have Collibra Ranger, Solution Architect, or equivalent certifications Show more Show less

Entity: Finance Job Family Group: Business Support Group Job Description: About us: At bp, we’re reimagining energy for people and our planet. With operations working across almost every part of the energy system, we’re leading the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge. We’re a team with multi-layered strengths of engineers, scientists, traders and business professionals determined to find answers to problems. And we know we can’t do it alone. We’re looking for people who share our passion for reinvention, to bring fresh opinions, ambition, and to challenge our thinking in our goal to achieve net zero! We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society, our industry and our planet Key Accountabilities Data Quality/Modelling/Design thinking: Demonstrating SAP MDG/ECCs experience the candidate is able to investigate to do root cause analysis for assigned use cases. Also able to work with Azure data lake (via dataBricks) using SQL/Python. Data Model (Conceptual and Physical) will be needed to be identified and built that provides automated mechanism to monitor on going DQ issues. Multiple workshops may also be needed to work through various options and identifying the one that is most efficient and effective Works with business (Data Owners/Data Stewards) to profile data for exposing patterns indicating data quality issues. Also is able to identify impact to specific CDEs deemed important for each individual business. Identifies financial impacts of Data Quality Issue. Also is able to identify business benefit (quantitative/qualitative) from a remediation standpoint along with leading implementation timelines. Schedules regular working groups with business that have identified DQ issues and ensures progression for RCA/Remediation or for presenting in DGFs Identifies business DQ rules basis which critical metrics/Measures are stood up that feed into the dashboarding/workflows for BAU monitoring. Red flags are raised and investigated Understanding of Data Quality value chain, starting with Critical Data Element concepts, Data Quality Issues, Data Quality important metrics/Measures is needed. Also has experience owing and completing Data Quality Issue assessments to aid improvements to operational process and BAU initiatives Highlights risk/hidden DQ issues to Lead/Manager for further guidance/customer concern Communication skills are significant in this role as this is outward facing and focus has to be on clearly articulation messages. Dashboarding & Workflow: Builds and maintains effective analytics and partner concern mechanisms which detect poor data and help business lines drive resolution Support designing, building and deployment of data quality dashboards via PowerBI Resolves critical issue paths and constructs workflow and alerts which notify process and data owners of unresolved data quality issues Collaborates with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.) DQ Improvement Plans: Creates, embeds and drives business ownership of DQ improvement plans Works with business functions and projects to create data quality improvement plans Sets targets for data improvements / maturity. Monitors and intervenes when sufficient progress is not being made Supports initiatives which are driving data clean-up of existing data landscape Project Delivery: Oversees, directs Data Quality Analysts and participates in delivery of data quality activities including profiling, establishing conversion criteria and resolving technical and business DQ issues Owns and develops relevant data quality work products as part of the DAS data change methodology Ensures data quality aspects are delivered as part of Gold and Silver data related change projects Supports the creation of cases with insight into the cost of poor data Essential Experience and Job Requirements: 11-15 total yrs of experience in Oil & Gas or a Financial Services/Banking industry within Data Management space Experience of working with Data Models/Structures and investigating to design and fine tune them Experience of Data Quality Management i.e. Governance, DQI management (root cause analysis, Remediation /solution identification), Governance Forums (papers production, quorum maintenance, Minutes publication), CDE identification, Data Lineage (identification of authoritative data sources) preferred. Understand of important metrics/Measures needed as well Experience of having worked with senior partners in multiple Data Domain/Business Areas, CDO and Technology. Ability to operate in global teams within multiple time zones Ability to operate in a dynamic and changing setup and be able to identify priorities. Also ability to operate independently without too much direction Desirable criteria SAP MDG/SAP ECC experience (T codes, Tables structures etc) Azure Data lake /AWS/Data Bricks Crafting dashboards & workflows (powerBI Qlikview or Tableau etc.) Crafting analytics and insight in a DQ setting (powerBI/powerQuery) Profiling and analysis skills (SAP DI, Informatica or Collibra) Persuading, influencing and communication at a senior level management level Certification in Data Management, Data Science, Python/R desirable Travel Requirement No travel is expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Roles & Responsibilities Deliver projects integrating data flows within and across technology systems. Lead data modeling sessions with end user groups, project stakeholders, and technology teams to produce logical and physical data models. Design end-to-end job flows that span across systems, including quality checks and controls. Create technology delivery plans to implement system changes. Perform data analysis, data profiling, and data sourcing in relational and Big Data environments. Convert functional requirements into logical and physical data models. Assist in ETL development, testing, and troubleshooting ETL issues. Troubleshoot data issues and work with data providers for resolution; provide L3 support when needed. Design and develop ETL workflows using modern coding and testing standards. Participate in agile ceremonies and actively drive towards team goals. Collaborate with a global team of technologists. Lead with ideas and innovation. Manage communication and partner with end users to design solutions. Required Skills: Must have: Total experience required 4-10 years (relevant experience minimum 5 years) 5 years of project experience in Python/Shell scripting in Data Engineering (experience in building and optimizing data pipelines, architectures, and data sets with large data volumes). 3+ years of experience in PySpark scripting, including the architecture framework of Spark. 3-5 years of strong experience in database development (Snowflake/ SQL Server/Oracle/Sybase/DB2) in designing schema, complex procedures, complex data scripts, query authoring (SQL), and performance optimization. Strong understanding of Unix environment and batch scripting languages (Shell/Python). Strong knowledge of Big Data/Hadoop platform. Strong engineering skills with the ability to understand existing system designs and enhance or migrate them. Strong logical data modeling skills within the Financial Services domain. Experience in data integration and data conversions. Strong collaboration and communication skills. Strong organizational and planning skills. Strong analytical, profiling, and troubleshooting skills. Good To Have: Experience with ETL tools (e.g Informatica, Azure Data Factory) and pipelines across disparate sources is a plus. Experience working with Databricks is a plus. Familiarity with standard Agile & DevOps methodology & tools (Jenkins, Sonar, Jira). Good understanding of developing ETL processes using Informatica or other ETL tools. Experience working with Source Code Management solutions (e.g., Git). Knowledge of Investment Management Business. Experience with job scheduling tools (e.g., Autosys). Experience with data visualization software (e.g., Tableau). Experience with data modeling tools (e.g., Power Designer). Basic familiarity with using metadata stores to maintain a repository of Critical Data Elements. (e.g. Collibra) Familiarity with XML or other markup languages. Mandatory Skill Sets: ETL,Python/Shell scripting , building pipelines,pyspark, database, sql Preferred Skill Sets: informatica, hadoop, databricks, collibra Years Of Experience Required: 4 to 10 years Education Qualification: Graduate Engineer or Management Graduate Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor in Business Administration Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Extract Transform Load (ETL), Python (Programming Language), Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Department: SE DC DG A Snapshot of Your Day We are seeking a highly skilled and committed Manager to lead our data accountability, data security, data regulatory compliance, data access and Artificial Intelligence (AI) governance workstreams. This position requires an initiative-taking leader with a robust background in data governance, data ownership, data security and compliance, who through their team can drive the development and implementation of comprehensive strategies to support our data roles, secure our data assets and uphold ethical AI practices to maintain data integrity and increase a culture of data accountability. How You’ll Make An Impact Data Accountability: Develop and implement policies and procedures to improve data accountability across the organization. the Data Roles & Responsibilities Framework and Help in its operationalization in Siemens Energy. Lead Enablement and Training Programs for the data roles. Support the build of Data communities in the business areas and bring them closer to our formally established data roles. Data Security: Lead the development and execution of comprehensive data security and data access management strategies, policies and procedures which are essential for protecting an organization's data assets, mitigating risks, ensuring compliance, and maintaining collaborator trust. Data Retention: Lead development of retention framework and secure disposal methods to retain data only as vital and dispose of it securely. AI Governance: Lead AI Governance team working on establishing policies and processes to ensure ethical, responsible, and compliant use of AI. Work closely with multi-functional teams of Business, Data domains, Cyber security, Legal and Compliance, Artificial Intelligence, Applications teams etc. Manage and mentor a team of data professionals, providing guidance, training, and support to achieve departmental goals. Develop and implement strategic goals for the team, aligned with organizational objectives. Partner Engagement: Collaborate with collaborators across the organization to align strategies with business objectives. Innovation: Stay abreast of industry trends and emerging technologies and incorporate innovative solutions to enhance data accountability, data security AI governance What You Bring Bachelor’s degree in computer science, information technology, data science, or a related field; master’s degree preferred. Minimum of 8 years of experience in data management, data governance, data ownership and data security governance roles in large scale enterprise set up with at least 3 years in a leadership capacity. Demonstrable ability to develop & implement data governance frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical, problem-solving, and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. Solid understanding of data accountability or data ownership, data security and compliance principles and practices. Familiarity with data governance tools like Collibra, Informatica, or Ataccama, or Talend. Experience with data modeling, data architecture, and database management systems is preferred. About The Team Our Corporate and Global Functions are essential in driving the company's pivotal initiatives and ensuring operational excellence across various groups, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external collaborators, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Opportunities to work with a distributed team Opportunities to work on and lead a variety of innovative projects Medical benefits Time off/Paid holidays and parental leave Continual learning through the Learn@Siemens-Energy platform https://jobs.siemens-energy.com/jobs Show more Show less

Department : SE DC DG A Snapshot of Your Day We are looking for a highly skilled and experienced manager to oversee our Enterprise data quality, Master Data Management & Reference Data Management workstreams. This role will ensure the development and implementation of comprehensive strategies for Siemens Energy´s data to be well maintained, accurate, and reliable through effective data quality and data management. The ideal candidate will possess strong leadership skills, a deep understanding of data governance principles, and the ability to drive data quality initiatives across the organization. This position will require close collaboration with various groups to identify, address, and resolve data-related issues while establishing robust data quality and data management frameworks. How You’ll Make An Impact Lead and mentor a team of data management professionals, providing guidance and fostering a collaborative environment. Develop and implement strategic goals for the team, aligned with organizational objectives. Ensure continuous professional development and performance management of team members. Offer strategic guidance and assistance to different data domains in Siemens Energy and collaborate effectively to enhance the implementation of the data governance framework. Oversee the establishment and enforcement of data quality standards and procedures. Support implementation of data quality metrics and reporting mechanisms to monitor and improve data accuracy and consistency across domains. Collaborate with multi-functional teams to identify data quality issues and their impact on business processes. Drive and support the design and delivery of the projects to address data quality issues. Provide thought leadership and industry standard methodologies on the right architecture, tool and governance model. Work on new ideas like using Data Quality for Artificial Intelligence, designing value Quantification approaches, data monetization opportunities etc. Develop and manage the organization's master data & reference data strategy, standards and processes to ensure consistency, accuracy, and reliability of master data across all business systems and support the integration and synchronization of reference data across various platforms. Work with business to standardize and harmonize master data definitions and processes and identify and document master data and reference data entities. Provide thought leadership on the right tools and approaches needed for data management in SE to make us future proof. What You Bring Bachelor’s degree in information technology, Data Science, Business Administration, or a related field (Master’s degree preferred). Minimum of 8 years of experience in data management and data quality roles, in large scale enterprise set up with at least 3 years in a leadership capacity. Proven track record of developing and implementing enterprise data quality, data management strategies and initiatives. Excellent leadership, communication, and interpersonal skills. Strong analytical, problem-solving, and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. Solid understanding of data quality, master data, and reference data management principles and practices. Proficiency with data management tools and technologies, such as SQL, ETL tools, data governance platforms, and MDM solutions like Collibra, Informatica, or Ataccama, or Talend. Experience with data modeling, data architecture, and database management systems is preferred. About The Team Our Corporate and Global Functions are essential in driving the company's pivotal initiatives and ensuring operational excellence across various groups, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external collaborators, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Opportunities to work with a distributed team Opportunities to work on and lead a variety of innovative projects Medical benefits Time off/Paid holidays and parental leave Continual learning through the Learn@Siemens-Energy platform https://jobs.siemens-energy.com/jobs Show more Show less

Department : SE DC DG A Snapshot of Your Day We are looking for a highly skilled and experienced manager to oversee our Enterprise data quality, Master Data Management & Reference Data Management workstreams. This role will ensure the development and implementation of comprehensive strategies for Siemens Energy´s data to be well maintained, accurate, and reliable through effective data quality and data management. The ideal candidate will possess strong leadership skills, a deep understanding of data governance principles, and the ability to drive data quality initiatives across the organization. This position will require close collaboration with various groups to identify, address, and resolve data-related issues while establishing robust data quality and data management frameworks. How You’ll Make An Impact Lead and mentor a team of data management professionals, providing guidance and fostering a collaborative environment. Develop and implement strategic goals for the team, aligned with organizational objectives. Ensure continuous professional development and performance management of team members. Offer strategic guidance and assistance to different data domains in Siemens Energy and collaborate effectively to enhance the implementation of the data governance framework. Oversee the establishment and enforcement of data quality standards and procedures. Support implementation of data quality metrics and reporting mechanisms to monitor and improve data accuracy and consistency across domains. Collaborate with multi-functional teams to identify data quality issues and their impact on business processes. Drive and support the design and delivery of the projects to address data quality issues. Provide thought leadership and industry standard methodologies on the right architecture, tool and governance model. Work on new ideas like using Data Quality for Artificial Intelligence, designing value Quantification approaches, data monetization opportunities etc. Develop and manage the organization's master data & reference data strategy, standards and processes to ensure consistency, accuracy, and reliability of master data across all business systems and support the integration and synchronization of reference data across various platforms. Work with business to standardize and harmonize master data definitions and processes and identify and document master data and reference data entities. Provide thought leadership on the right tools and approaches needed for data management in SE to make us future proof. What You Bring Bachelor’s degree in information technology, Data Science, Business Administration, or a related field (Master’s degree preferred). Minimum of 8 years of experience in data management and data quality roles, in large scale enterprise set up with at least 3 years in a leadership capacity. Proven track record of developing and implementing enterprise data quality, data management strategies and initiatives. Excellent leadership, communication, and interpersonal skills. Strong analytical, problem-solving, and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. Solid understanding of data quality, master data, and reference data management principles and practices. Proficiency with data management tools and technologies, such as SQL, ETL tools, data governance platforms, and MDM solutions like Collibra, Informatica, or Ataccama, or Talend. Experience with data modeling, data architecture, and database management systems is preferred. About The Team Our Corporate and Global Functions are essential in driving the company's pivotal initiatives and ensuring operational excellence across various groups, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external collaborators, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Opportunities to work with a distributed team Opportunities to work on and lead a variety of innovative projects Medical benefits Time off/Paid holidays and parental leave Continual learning through the Learn@Siemens-Energy platform https://jobs.siemens-energy.com/jobs Show more Show less

Department: SE DC DG A Snapshot of Your Day We are seeking a highly skilled and committed Manager to lead our data accountability, data security, data regulatory compliance, data access and Artificial Intelligence (AI) governance workstreams. This position requires an initiative-taking leader with a robust background in data governance, data ownership, data security and compliance, who through their team can drive the development and implementation of comprehensive strategies to support our data roles, secure our data assets and uphold ethical AI practices to maintain data integrity and increase a culture of data accountability. How You’ll Make An Impact Data Accountability: Develop and implement policies and procedures to improve data accountability across the organization. the Data Roles & Responsibilities Framework and Help in its operationalization in Siemens Energy. Lead Enablement and Training Programs for the data roles. Support the build of Data communities in the business areas and bring them closer to our formally established data roles. Data Security: Lead the development and execution of comprehensive data security and data access management strategies, policies and procedures which are essential for protecting an organization's data assets, mitigating risks, ensuring compliance, and maintaining collaborator trust. Data Retention: Lead development of retention framework and secure disposal methods to retain data only as vital and dispose of it securely. AI Governance: Lead AI Governance team working on establishing policies and processes to ensure ethical, responsible, and compliant use of AI. Work closely with multi-functional teams of Business, Data domains, Cyber security, Legal and Compliance, Artificial Intelligence, Applications teams etc. Manage and mentor a team of data professionals, providing guidance, training, and support to achieve departmental goals. Develop and implement strategic goals for the team, aligned with organizational objectives. Partner Engagement: Collaborate with collaborators across the organization to align strategies with business objectives. Innovation: Stay abreast of industry trends and emerging technologies and incorporate innovative solutions to enhance data accountability, data security AI governance What You Bring Bachelor’s degree in computer science, information technology, data science, or a related field; master’s degree preferred. Minimum of 8 years of experience in data management, data governance, data ownership and data security governance roles in large scale enterprise set up with at least 3 years in a leadership capacity. Demonstrable ability to develop & implement data governance frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical, problem-solving, and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities. Solid understanding of data accountability or data ownership, data security and compliance principles and practices. Familiarity with data governance tools like Collibra, Informatica, or Ataccama, or Talend. Experience with data modeling, data architecture, and database management systems is preferred. About The Team Our Corporate and Global Functions are essential in driving the company's pivotal initiatives and ensuring operational excellence across various groups, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external collaborators, and conducting business responsibly and in compliance with legal requirements and regulations. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Rewards/Benefits Opportunities to work with a distributed team Opportunities to work on and lead a variety of innovative projects Medical benefits Time off/Paid holidays and parental leave Continual learning through the Learn@Siemens-Energy platform https://jobs.siemens-energy.com/jobs Show more Show less

Job Title: Data Architect – Data Integration & Engineering Location: Hybrid Experience: 8+ years Job Summary: We are seeking an experienced Data Architect specializing in data integration, data engineering, and hands-on coding to design, implement, and manage scalable and high-performance data solutions. The ideal candidate should have expertise in ETL/ELT, cloud data platforms, big data technologies, and enterprise data architecture. Key Responsibilities: 1. Data Architecture & Design: Develop enterprise-level data architecture solutions, ensuring scalability, performance, and reliability. Design data models (conceptual, logical, physical) for structured and unstructured data. Define and implement data integration frameworks using industry-standard tools. Ensure compliance with data governance, security, and regulatory policies (GDPR, HIPAA, etc.). 2. Data Integration & Engineering: Implement ETL/ELT pipelines using Informatica, Talend, Apache Nifi, or DBT. Work with batch and real-time data processing tools such as Apache Kafka, Kinesis, and Apache Flink. Integrate and optimize data lakes, data warehouses, and NoSQL databases. 3. Hands-on Coding & Development: Write efficient and scalable code in Python, Java, or Scala for data transformation and processing. Optimize SQL queries, stored procedures, and indexing strategies for performance tuning. Build and maintain Spark-based data processing solutions in Databricks and Cloudera ecosystems. Develop workflow automation using Apache Airflow, Prefect, or similar tools. 4. Cloud & Big Data Technologies: Work with cloud platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Dataflow). Manage big data processing using Cloudera, Hadoop, HBase, and Apache Spark. Deploy containerized data services using Kubernetes and Docker. Automate infrastructure using Terraform and CloudFormation. 5. Governance, Security & Compliance: Implement data security, masking, and encryption strategies. Define RBAC (Role-Based Access Control) and IAM policies for data access. Work on metadata management, data lineage, and cataloging. Required Skills & Technologies: Data Engineering & Integration: ETL/ELT Tools: Informatica, Talend, Apache Nifi, DBT Big Data Ecosystem: Cloudera, HBase, Apache Hadoop, Spark Data Streaming: Apache Kafka, AWS Kinesis, Apache Flink Data Warehouses: Snowflake, AWS Redshift, Google Big Query, Azure Synapse Databases: PostgreSQL, MySQL, MongoDB, Cassandra Programming & Scripting: Languages: Python, Java, Scala Scripting: Shell, PowerShell, Bash Frameworks: PySpark, SparkSQL Cloud & DevOps: Cloud Platforms: AWS, Azure, GCP Containerization & Orchestration: Kubernetes, Docker CI/CD Pipelines: Jenkins, GitHub Actions, Terraform, CloudFormation Security & Governance: Compliance Standards: GDPR, HIPAA, SOC 2 Data Cataloging: Collibra, Alation Access Controls: IAM, RBAC, ABAC Preferred Certifications: AWS Certified Data Analytics – Specialty Microsoft Certified: Azure Data Engineer Associate Google Professional Data Engineer Databricks Certified Data Engineer Associate/Professional Cloudera Certified Data Engineer Informatica Certified Professional Education & Experience: Bachelor's/Master’s degree in Computer Science/ MCA, Data Engineering, or a related field. 8+ years of experience in data architecture, integration, and engineering. Proven expertise in designing and implementing enterprise-scale data solutions. Show more Show less

Collibra Certified Rangers (Preferable) Analyze current architecture, data flow, data dependencies and related documentation. Develop Collibra integration solutions. Trace data from source system, across the various contact points of data landscape, to final destination system. Use Lineage harvester and adhere to industry best practices. Experience in metadata extraction, building business and technical lineage among assets. Design, develop and test Collibra integrations and workflows. Take advantage of the depth and breadth of integrations to connect data ecosystem to Collibra Data Intelligence Platform. Access Collibra-supported integrations, partner and other pre-built integrations and APIs to gain visibility. Understand and share insights. Understand Data Governance, Metadata Management, Reference Data Management, Data Modeling, Data Integration & Data Analysis. Work as a Solution provider. Collibra API Development Show more Show less

At least 5 years of experience in a complex business environment or international organisation matrix. Must have experience and knowledge in data governance. Strong IT background, including expertise in big data, cloud technology, monitoring solutions, machine learning ML, and artificial intelligence AI. Familiarity with data governance tools such as Collibra (preferred) or similar alternatives. Proven track record in product management, data management, and information technology systems and tools. Experience with the SAFe Agile framework. Knowledge of data analytics/dashboard tools like Qlik and Microsoft PowerBI is a plus. Nice to have experience in travel domain.

Job Title: Data Catalogue Specialist Career Level : D3 Introduction to role The GBS Data Office (GDO) supports Commercial and Enabling Units business areas. As a Data Catalogue Specialist, you will be responsible for the systems, business rules, and processes that ensure data is findable, accessible, and fit for use by one or more business units. You will achieve this through the capture of metadata and development of the data catalogue. Accountabilities Support the Data Catalogue Principal to define Information Asset Registers across business areas to help profile information risk/value Participate in projects to mitigate and control identified priority risk areas Take responsibility for nominated markets/business areas, develop domain knowledge and leverage internal customer relationships to respond to localised use cases Act as point of contact for nominated business areas or markets Support initiatives to enhance the reusability and transparency of our data by making it available in our global data catalogue Support the capture of user requirements for functionality and usability, and document technical requirements Work with IT partners to capture metadata for relevant data sets and lineage, and populate the catalogue Work with data stewards and business users to enrich catalogue entries with business data dictionary, business rules, glossaries Execute monitoring controls to assure metadata quality remains at a high level Support catalogue principles and data governance leads for tool evaluation and UAT Essential Skills/Experience Demonstrable experience of working in a data management, data governance or data engineering domain Strong business and system analysis skills Proven experience with Data Catalogue, Search and Automation software (Collibra, Informatica, Talend etc) Ability to interpret and communicate technical information into business language and in alignment with AZ business Solid understanding of metadata harvesting methodologies and ability to create business and technical metadata sets Strong engagement, communication and stakeholder management skills, including excellent organisational, presentation and influencing skills High level of proficiency with common business applications (Excel, Visio, Word, PowerPoint & SAP business user) Desirable Skills/Experience Proven experience of working with Commercial or Finance data and systems (Veeva, Reltio, SAP) and consumption Domain knowledge of life sciences/pharmaceuticals; manufacturing; corporate finance; or sales & marketing Experience with data quality and profiling software Experience of working in a complex, diverse global organisation When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Join an ambitious company that's on a mission to do more and be more! Help shape our journey towards becoming a tech-enabled enterprise. Encouraged to look to the future, think strategically, and innovate, we influence progress today. We are introducing new solutions and technology through our investment in automated processes. It's by driving greater consistency and efficiency that we will help accelerate our next chapter of growth. Ready to make a difference? Apply now! Show more Show less

Insight Global are looking to hire a Sr Data Management Analyst to join a global financial services firm. The team is focused on driving data and process design and change management for scalable digitization across critical business initiatives including workflows, analytics and ESG services. This is an 18 month contract and the role is hybrid, onsite 2x a week in Gurugram. The client is seeking an individual who can start within a 1 month notice. Role/Responsibilities: As part of the Ratings Platform Development team which leads the design and adoption of new processes and data workflows that enable digital transformation and scalability across the organization globally. The Data Management Analyst role will assist in defining, managing and governing the data used across several product workflows, acting with support from senior data team members. Core accountabilities include: Investigate, analyze, and continuously improve data taxonomies and data attributes for key workflow data sets to support digital solutions Assist in developing an initial set of harmonized data requirements contributing to efficiency and quality enhancements Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners Partner with technology, data, and process teams to develop next generation data structure plan including creating databases, supporting data migration activities and establishing data governance practices Support User Acceptance Testing (UAT) for new Digital Ratings Platform (DRP) Collaborate across key MIS partners to determine the data required to deliver the target state service solution, and map the end-to-end data lineage. Must-Haves: Demonstrable experience in data management and data transformation roles Data migration experience. Experience using Master Data Management and Data Governance tools such as Collibra Proficient in SQL Understanding of Agile methodologies Knowledge of database structures, data lineage mapping, data governance reporting, SQL Experience working with unstructured data Experience working with customers and/or users to understand data requirements and use cases Proficient communication skills to simplify complex themes Show more Show less

Job Description Senior Associate, Business Process Management Analyst At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Senior Associate, Business Process Management Analyst to join our Wealth Management Data Governance team. This role is located in Pune, MH – HYBRID. In this role, you’ll make an impact in the following ways: This is a unique opportunity to join Data Governance team and help be a pivotal part of Wealth Managements data transformation. The team was formed to establish robust data management and governance practices as well develop a data hub that makes information accessible and actionable to our front line business partners. The individual in this role will have the opportunity to learn industry best practices for data management, data quality, refine their data wrangling skills, learn more about the Wealth Management and serve up data driven insights to our business partners. One of the team’s primary objectives is to implement a collaborative data platform for a more streamlined way of moving, transforming, analyzing, and communicating information. This will require the analyst to build relationships with key stakeholders, to work with internal clients to understand their data needs, and to partner with IT to deliver data solutions. A key tool for the team is Collibra, CDQ and DataIku. Collibra, CDQ and Dataiku provides most of the functions needed to perform the role. i.e. connections to databases, IDE functionality, SQL functions, Jupyter notebooks. SQL software is needed to connect to certain data bases. Deliver value and deliver value frequently Build and maintain relationships with key stakeholders in WM Businesses and IT Translates complex technical concepts and analyses to non-technical audiences Prepares ad-hoc reports at the request of managers and/or other leaders Build BI and machine learning prototypes and derive actionable insights for the Businesses To be successful in this role, we’re seeking the following: B Tech/BE/BS Degree (stats, math, engineering degrees are a plus) 5+ years of Experience working in Data Quality and Data Management 3+ years of experience with Collibra, CDQ Excellent interpersonal and client-facing skills 2+ years of experience with SQL Good knowledge on Snowflake Passion for helping others succeed Passion for learning new skills Self-starter Dataiku experience is good to have Experience in financial industry is preferred Good knowledge of Excel Agile experience is a plus At BNY, our culture speaks for itself. Here’s a few of our awards: America’s Most Innovative Companies, Fortune, 2024 World’s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion , Disability: IN – 100% score, 2023-2024 “Most Just Companies”, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg’s Gender Equality Index (GEI), 2023 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. Show more Show less

Job Description ASSET MANAGEMENT About Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors, spanning traditional and alternative markets offering products and services Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals OPERATIONS Operations is a dynamic, multi-faceted segment that partners with all parts of the firm to provide banking, securities, and asset management services to clients around the world. In addition, Operations provides essential risk management and controls to preserve and enhance the firm's assets and its reputation. For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow. OUR IMPACT AWM delivers innovative investment solutions through a global, multi- product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. AWM is one of the pre-eminent investment management organizations globally. Critical to the success of AWM is our ability to leverage a global team of talented professionals to define solutions and lead change across the operational infrastructure. The AWM Data Governance team is seeking to add a highly motivated professional to its org. This team is primarily focused on building & maintaining a Data Governance framework for data attributes comprised in external reports and content published externally and internally. The Data Governance team will work closely with Operations, Business, Legal, Compliance, Controllers, Technology and other groups in establishing data pipelines and maintaining data value chains connected to various reporting outputs of the org. They will also assume responsibility of the risk & control oversight to ensure accurate and timely maintenance of these value chains at a periodic frequency along with establishing a change management maintenance workflow. YOUR IMPACT We are looking for a professional who wants to use their skills and experience to help deliver on operations agenda while challenging themselves to further their career at Goldman Sachs. Job Summary And Responsbilities Leverage analytical skills, creative problem solving and project management skills to steer and uplift the existing Data Governance model. Organize discussions with key stakeholders to understand how our technology works, thereby empowering you to define specific data attributes and identify the relevant owners and source system(s) along with Data flows. Provide effective thought leadership to navigate the evolving financial regulatory landscape and help develop technological solutions to build appropriate architecture Improve the risk framework for data governance by documenting existing controls, analyzing their suitability, and recommending new controls for implementation Manage relationships with professionals from other teams and divisions by articulating recommendations to gain cross-divisional consensus Develop strong working relationships with Sales, Legal, Compliance, Controllers, technology and other groups in establishing the Data Governance model and keeping it up to date Proficiency in Business Intelligence & Low code Automation solutions to digitize the Data Governance framework and improve efficiency Engage with relevant stakeholders for Data remediation to support regulatory uplift or data clean up as an interim measure, while we work through the strategic solution. Basic Qualifications Bachelor’s/ master’s degree (Engineering, Finance, Economics, Business Management) with at least 3+ years of experience in data governance Strong analytical and project management skills Excellent communication skills both written and verbal Exceptional attention to detail and accuracy Ability to handle multiple projects, deadlines, personalities, and broad-based coverage Knowledge and understanding of Excel, PowerPoint, Word and adaptability to other software products Ability to work in a fast-paced, team-oriented environment Experience with configuring and using Data Governance tools (e.g. Collibra) is a bonus Knowledge of the investment management industry and GSAM is a bonus Business Intelligence experience & relevant certifications (Tableau/ Alteryx) are a bonus About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

The future is our choice At Atos, as the global leader in secure and decarbonized digital, our purpose is to help design the future of the information space. Together we bring the diversity of our people’s skills and backgrounds to make the right choices with our clients, for our company and for our own futures. Roles & Responsibilities The Senior Tech Lead specializing in Data Governance and Master Data Management (MDM) leads the design, implementation, and optimization of enterprise data solutions Architect and optimize strategies for data quality, metadata management, and data stewardship Collaborate with stakeholders to define project requirements and ensure alignment with business goals Establish and enforce best practices for data governance, security, and compliance. Troubleshoot and resolve complex technical issues in MDM environments. Stay updated on advancements in data governance and MDM technologies to recommend innovative solutions. Requirements Strong experience working on DG/MDM projects Extensive experience with data governance and MDM tools such as Collibra, Informatica, InfoSphere, and Reltio Strong understanding of Data Governance, Data Quality, Data Profiling, Data Standards, Regulations, Security Understanding of MDM, Customer, Product, Vendor Domains and related artifacts Experience on DG on-premise and on-cloud Hands-on Reference Data, Taxonomy Total Experience Range - 10 - 16 Yrs Our Offering Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment. Wellbeing programs & work-life balance - integration and passion sharing events. Attractive Salary and Company Initiative Benefits Courses and conferences. Attractive Salary. Hybrid work culture. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos. Show more Show less

Location – Greater Noida Mandatory Skills – AWS, Snowflake, Python/Pyspark, SQL, ETL, Datawarehousing Desired Skills – Data Modelling, Dimensional Modelling Detailed JD – Must be extremely proficient in Data Warehouse ETL Design/Architecture , dimensional/relational data modelling. Experience in atleast one ETL development project, writing/analyzing complex stored procedures. Should have entry level/intermediate experience in Python/PySpark – working knowledge on spark/pandas dataframe, spark multi-threading, exception handling, familiarity with different boto3 libraries, data transformation and ingestion methods, ability to write UDF. Snowflake – Familiarity with stages and external tables, commands in snowflake like copy, unload data to/from S3, working knowledge of variant data type, flattening nested structure thru SQL, familiarity with marketplace integrations, role-based masking, pipes, data cloning, logs, user and role management is nice to have . Familiarity with Coalesce/dbt is an added advantage for this job. Collibra integration experience for Data Quality and Governance in ETL pipeline development is nice to have. AWS – Should have hands-on experience with S3, Glue (jobs, triggers, workflow, catalog, connectors, crawlers), CloudWatch, RDS and secrets manager. AWS - VPC, IAM, Lambda, SNS, SQS, MWAA is nice to have . Should have hands-on experience with version controlling tools like github , working knowledge on configuring, setting up CI/CD pipelines using yaml, pip files. Streaming Services – Familiarity with Confluent Kafka or spark streaming, or Kinesis (or equivalent) is nice to have . Data Vault 2.0 (hubs satellite links) experience will be a PLUS. Interpersonal Highly proficient in Publisher, PowerPoint, SharePoint, Visio, Confluence and Azure DevOps Working knowledge of best practices in value-driven development (requirements management, prototyping, hypothesis-driven development, usability testing) Good communicator with problem solving mindset and focus on process improvement Consistently demonstrates clear and concise written and verbal communication skills Good interpersonal skills, ability to interact with Senior Management Highly self-motivated with a strong sense of initiative Excellent multitasking skills and task management strategies Ability to work well in a team environment, meet deadlines, demonstrate good time management, and multi-task in a fast-paced project environment. Responsibilities Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT counterparts (onshore and offshore) Highly proficient in the architecture and development of an event driven data warehouse; streaming, batch, data modeling, and storage Advanced database knowledge; creating/optimizing SQL queries, stored procedures, functions, partitioning data, indexing, and reading execution plans Skilled experience in writing and troubleshooting Python/PySpark scripts to generate extracts, cleanse, conform and deliver data for consumption Expert level of understanding and implementing ETL architecture; data profiling, process flow, metric logging, and error handling Support continuous improvement by investigating and presenting alternatives to processes and technologies to an architectural review board Develop and ensure adherence to published system architectural decisions and development standards Multi-task across several ongoing projects and daily duties of varying priorities as required Interact with global technical teams to communicate business requirements and collaboratively build data solutions Show more Show less

Data Officer Job #: req33197 Organization: World Bank Sector: Information Technology Grade: GF Term Duration: 2 years 0 months Recruitment Type: Local Recruitment Location: Chennai,India Required Language(s): English Preferred Language(s): Closing Date: 6/10/2025 (MM/DD/YYYY) at 11:59pm UTC Description Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 130 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org ITS Vice Presidency Context: The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video:https://www.youtube.com/watch?reload=9&v=VTFGffa1Y7w ITS shapes its strategy in response to changing business priorities and leverages new technologies to achieve three high-level business outcomes: business enablement, by providing Bank Group units with innovative digital tools and technologies to transform how they deliver value for their clients; empowerment & effectiveness, by ensuring that all Bank Group staff are connected, able to find information, and productive to accelerate the delivery of development solutions globally; and resilience, by equipping the Bank Group to provide risk-based cybersecurity and robust data protection for a global network and a growing cloud platform. Implementation of the strategy is guided by three core principles. The first is to deliver solutions for business partners that are customer-centric, innovative, and transformative. The second is to provide the Bank Group with value for money with selective and standard technologies. The third principle is to excel at the basics by providing a high performing, robust, and resilient IT environment for the organization. As a unit within the WB DataOperations and Technology office (ITSDOITSDOCorporate (ITSOC), the Data and Analytics unit (ITSDA) provides state-of-art information and technology applications to support the operations of the World Bank Group. Functions provided data, Information Managementensure that the systems meet the business needs of users and AI solutionsexternal clients to manage business processes for stakeholders across World Bank. The current technology landscape encompasses Cloud-based data platforms (Azure and AWS), Oracle, SQL Server, Business Objects, Tableau, Cisco Information Server (Composite), SAP BW/Hana, Informatica, .Net, HTML 5, CSS Frameworks, SharePoint and many others. Our plans are to migrate our on-prem data repositories and re-engineer based on new Cloud architectures in the coming years. Responsibilities: Perform data analysis and create reusable assets for our Data & Analytics Portal, i.e., dashboard, data visualization & reports, including ad-hoc requests from clients. Analyze large datasets to identify trends, patterns, and insights, utilize tools and techniques to understand patterns. Ability to quickly grasp business insights and navigate through the data structures to assess the issue. Reverse engineering from reports, dashboards and applications through medallion architecture understand the business logic and document them. Work with cross-functional teams to understand data needs and provide analytical support. Develop solutions based on data analysis to address business challenges and Identify opportunities for process improvements through data insights. Document data processes, methodologies, and findings for future reference and maintain clear records of data sources and analysis methods. Identify and categorize source data (where the data originates) and establish a clear mapping between source and target fields. Analyze how changes will affect existing processes or systems and identify stakeholders impacted by data migration or integration. Develop validation checks to ensure data integrity post-migration and Conduct testing to confirm that the target meets requirements. Maintain comprehensive documentation of the analysis process and record decisions made, issues encountered, and resolutions. Work closely with data engineers to understand the target structures and design the semantic layer conducive for analytics. Work closely with Data governance team and business stakeholders to document the data elements metadata and report metadata. Compare source and target data structures to identify discrepancies and assess data quality issues, such as duplicates, missing values, or inconsistencies. Develop test plans, test scripts, automation procedures to test data and report quality Contribute, develop and maintain Enterprise Data Model Actively seeks knowledge needed to complete assignments and shares knowledge with others, communicating and presenting information in a clear and organized manner. Develop, maintain, support AI/ML models in support of various analytical and data science needs Selection Criteria Master's degree with 5 years’ experience OR equivalent combination of education and experience in relevant discipline such as Computer Science. Minimum 3 years of experience in each of the following areas: (i) SQL, Python, R or any programming language (ii) Reports and Dashboard (iii) Building analytics and troubleshooting issues (iv)Data Analysis. Ability to understand business requirements, decode it into data needs, correlate it with business processes and develop reporting, data requirements, data models etc. Excellent and proven skills in data modelling, data integration and understanding different ways of designing data schema. Hands on experience with cloud platforms covering Power BI platform & Tableau and covering on-prem Business Objects. Hands on experience in building semantic layer encompassing complex logic to accommodate reporting requirements. Good understanding on SAP BW/SAP HANA structures and decoding of business rules to migrate to Modern Cloud platforms. Knowledge of advance SQL programming skills to perform complex operations and data programming on large amount of data stored in data warehousing or lakes. Strong understanding of row and column-level security in the semantic layer to facilitate smooth reporting. Work with application team leads to refine and tighten the security framework and access control for internal and external data access points Ability and flexibility to learn and adapt to a spectrum of data technologies running on multiple platforms primarily on the Semantic layer modelling, Report building, API’s and Dashboards. Knowledge of building data warehouse applications in Hybrid environment both on-cloud and on-prem and ability to keep up to date with Cloud offerings and solutions in a global delivery environment. Ability to participate and collaborate within and across teams in developing options, roadmaps, evaluations, decision frameworks for complex enterprise solutions. Deep Experience in implementing and maintaining some of these tools such as Informatica Intelligent Cloud Services (IICS), Tableau, Tibco Data Virtualization, Collibra, Informatica MDM, Data Bricks, NoSQL Databases, PostgreSQL and Azure technologies is preferrable. Experience working on AI/ML, data science models is preferred. Proven experience in evaluating best of the breed tools in Data & Analytics and work closely with the leadership team to come up with pro and cons is preferred. Actively seeks knowledge needed to complete assignments and shares knowledge with others, communicating and presenting information in a clear and organized manner. Proven experience of working and navigating in teams with offshore/onsite model and collaborate across teams to build/maintain complex IT landscapes, and diverse client bases. Experience in finance, human resources, resource management, loans, and travel is preferred. Experience in writing unit/integration tests, work in agile iterative approach towards building products and documents work. Ability to deliver information effectively in support of team or workgroup. Excellent communication, writing/documentation, and facilitation skills. Ability to juggle multiple tasks in a fast-paced environment, and the maturity to participate in multiple complex programs at the same time in an agile environment. World Bank Group Core Competencies The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities. We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Learn more about working at the World Bank and IFC , including our values and inspiring stories.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities:  Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes  Good Knowledge of industry standards & regulations on Data Management like BCBS239, GDPR, CCPA etc  Experience in managing data lineage tools & visualizations to track data movement and transformations across systems  Strong skills in data quality management and hands on experience on data quality tools and techniques  Knowledge on other Data Management aspects like Master data Management, Data Privacy and Security  Strong understanding & hands on experience on Data Governance tool - Collibra. Experience with designing & implementing operating model in DGC, scanning different sources with Collibra Catalog connectors  Excellent communication & interpersonal skills, with the ability to interact effectively with senior stakeholders & cross-functional teams  Experience in project management methodologies & tools, including Agile  Experience of working as part of a global team with senior Stakeholders in Steering Committee, DG & DQ Forums & Working Groups - to understand & resolve data issues  Excellent analytical and problem -solving skills, with the ability to address complex data governance challenges Mandatory skill sets: Data Governance/Data Quality Preferred skill sets: Data Governance/Data Quality Years of experience required: 4-7 Education qualification: BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Data Governance Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Overview The Data Ops Capability Deployment - Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new solutions/frameworks/techniques and the improvement of processes and workflow for Enterprise Data function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. The primary purpose of this role is to perform data analytics and data analysis across different asset classes, and to build data science/Tooling capabilities within the team. This will involve working closely with the wider Enterprise Data team, in particular the front to back leads to deliver business priorities. The following role is within B & I Data Capabilities team within the Enterprise Data. The team manages the Data quality/Metrics/Controls program in addition to a broad remit to implement and embed improved data governance and data management practices throughout the region. The Data quality program is centered on enhancing Citi’s approach to data risk and addressing regulatory commitments in this area. Key Responsibilities: Development and execution of the data, analytics and AI strategy for enterprise data. Implement advanced analytics and AI solutions to optimize the operational efficiency and improve decision making. Design, develop and maintain robust and scalable reporting and dashboard solutions. Hands on with data analysis, data modeling, data catalog and data lineage implementations. Implement Data Quality solutions, data validations rules and monitoring to ensure data accuracy. Ensure scalability and performance for reporting and analytical solutions. Work closely with Leads, Enterprise Architecture Team to deliver the overall data strategy. Proactively identify and address data related challenges, including performance bottlenecks, batch orchestrations, Reports and Dashboards. Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets. Build analytics dashboards & data science capabilities for Enterprise Data platforms. Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Serves as data and process interpreter, transforming raw data and dis jointed process into visually intuitive representations. Through meticulous analysis and adept visualization techniques, present complex datasets, and connection in accessible formats, enabling stakeholders to discern trends and patterns effectively. Collaboration & Communication: Engages with stakeholders across business areas, soliciting feedback and requirements to tailor data solutions to organizational needs. Through clear and concise communication, facilitate understanding and alignment among team members, fostering a collaborative environment conducive to data-driven decision-making. Skills & Qualifications At least 10+ years of active development background and experience in Financial Services or Finance IT is a required. Strong programming skills in Python with experience in data manipulation and analysis libraries (Pandas, Numpy) Analytical mindset to draw inferences from large and complex datasets. Strong knowledge in one or more of the BI visualization tools such as Tableau, PowerBI. Should be able to write complex SQL/Stored Procs Generate reports and presentations to communicate data governance insights to stake holders. Experience with distributed computing platforms would be an advantage. Experience with Data Quality/Data Tracing/Data Lineage/Metadata Management Tools Understanding of Data Catalog tools like Collibra. You can tell a story using data and process maps and have creative streak. You know how to read/write to database systems (Oracle / Hadoop). Know SQL / NoSQL, with knowledge of various file formats. You are adaptable, creative, resourceful, well organized team player with a strong work ethics You have above average knowledge of Finance / Credit / Market / Ops Risk in wholesale banking Strong understanding of Data Science, ML and can run EAD analysis using statistical packages You agree that verbal and written communication skills are vital. Education: Bachelor's/University degree, master's degree in information systems, Business Analysis / Computer Science. ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Governance Foundation ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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 Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As part of the Data team within HR, the BCG Global Data Stewards are responsible for the design and implementation of an enterprise-wide Data Governance strategy that supports the efficient usage of data across the firm by ensuring key sets of fully governed, curated, and globally integrated data products & assets. Under the guidance of the Global Data Owner, each Global Data Steward supports key data initiatives (both functional and technical) in the domain, including defining and executing principles, harmonized definitions, quality assessments, and governance processes to ensure safe usage and evolution of enterprise-wide products and assets. Specifically, the Compensation Data Steward will develop a data governance strategy for BCG’s Compensation data domain. This role is embedded within a Compensation Transformation project, and this role will work to ensure that compensation data governance aligns with broader transformation objectives. You will collaborate with HR, Data, Finance, and Enterprise Services leaders, as well as their corresponding Business Intelligence, Operations, and Technology teams, to ensure a strong, compliant, and strategically valuable Compensation data ecosystem. The Compensation domain includes salary structures, bonus programs, pay equity analytics, and long-term incentive plans across BCG. It supports BCG’s ability to make informed, strategic, and equitable compensation decisions for employees across the globe. This function is critical in ensuring compliance with global and local pay regulations, supporting fairness and transparency, and enabling data-driven insights into compensation trends and workforce planning. The ideal candidate will have a goal-oriented mindset and enjoy working with cross-functional teams to deliver Data Governance capabilities and support exceptional Data Products. They will have 8+ years of experience in Data Governance, preferably in Compensation, HR, or Finance data, and be well-versed in compensation data structures, analytics, and regulatory compliance challenges. Additionally, they should have strong communication skills with proven experience in stakeholder engagement, including working with senior business and technical teams to showcase the business benefits of Data Governance. Among Your Responsibilities, You Will Define an overall vision, roadmap, and priorities for our Compensation Data Governance Strategy Work closely with the Global HR Data Governance Director, the HR Data Owner, and other Global Data Stewards (e.g., Worker and Candidate data) to develop a Compensation data strategy Understand end-to-end Compensation data flows across BCG, including salary structures, pay adjustments, incentives, and compliance requirements Gather business requirements from Compensation, HR, and Finance stakeholders to identify data gaps and opportunities Align the Compensation Data Governance strategy with broader BCG HR, Finance, and Data leadership priorities Create and enforce data quality policies and standards to maintain compliance and support decision-making Ensure that data structures, processes, and governance mechanisms support Compensation Transformation objectives Work with HR Technology and IT teams to integrate governance controls into new Compensation systems and platforms Ensure sustainable delivery of customer value on the agreed Data Governance roadmap Collaborate with other Global Data Stewards and IT teams to ensure consistency across BCG’s Data Governance strategy Foster collaboration with Compensation, HR, Finance, and Data teams to ensure alignment on data opportunities and priorities Provide training and guidance on Compensation data best practices, compliance, and governance frameworks Engage with the Data Governance community to ensure alignment and best practices Collaborate with other Global Data Stewards and IT teams to ensure consistency across BCG’s Data Governance strategy Foster collaboration with Compensation, HR, Finance, and Data teams to ensure alignment on data opportunities and priorities Provide training and guidance on Compensation data best practices, compliance, and governance frameworks What You'll Bring Bachelor’s or higher degree in Computer Science, Mathematics, Statistics, Finance, HR, or related fields 8+ years of experience in Data Governance, Compensation Data Management, HR Data Analytics, or Finance Data Strong knowledge of total Compensation data concepts, benefits, base, bonus, pay structures, incentives, and compliance Understanding of Data Governance frameworks (DAMA DMBoK, EDM Council’s DCAM) is beneficial Hands-on experience using Data Governance tools (e.g., Collibra, Talend, Informatica) Experience with Compensation systems and data platforms such as Workday, SAP, or Snowflake Strong stakeholder engagement and communication skills to collaborate with diverse, global teams Who You'll Work With BCG Global HR and Data teams: the HR Data Product Portfolio, Data Governance CoE, Master Data Mgmt., Enterprise Data Modelling, and Data Product development teams BCG HR, Finance and Data teams; business intelligence and analytics, operations, and technical teams, among other business functions BCG Leadership: Heads of HR, Recruiting, Finance, and Enterprise Services among other business functions. The broader Compensation Transformation project team The Data Governance network: Data Owners, Stewards, and Data Governance Directors Additional info YOU’RE GOOD AT Defining and implementing a global Compensation Data Governance framework and ensuring data quality, security, and compliance Understanding Compensation data structures, pay equity analytics, and salary frameworks Leading Compensation data-related governance initiatives, including Data Lineage, Master Data Management (MDM), Data Quality, and Data Architecture Partnering with HR, Finance, and IT teams to prioritize Compensation data initiatives. Developing Compensation data analytics, metrics, and dashboards to track governance maturity Ensuring adherence to relevant global and local data policies, regulations, and standards Communicating with senior executive teams about the importance of Compensation data strategy Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : Data Governance Responsibilities: Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes Good Knowledge of industry standards & regulations on Data Management like BCBS239, GDPR, CCPA etc Experience in managing data lineage tools & visualizations to track data movement and transformations across systems Strong skills in data quality management and hands on experience on data quality tools and techniques Knowledge on other Data Management aspects like Master data Management, Data Privacy and Security Strong understanding & hands on experience on Data Governance tool - Collibra. Experience with designing & implementing operating model in DGC, scanning different sources with Collibra Catalog connectors Excellent communication & interpersonal skills, with the ability to interact effectively with senior stakeholders & cross-functional teams Experience in project management methodologies & tools, including Agile Experience of working as part of a global team with senior Stakeholders in Steering Committee, DG & DQ Forums & Working Groups - to understand & resolve data issues Excellent analytical and problem -solving skills, with the ability to address complex data governance challenges Mandatory Skill Sets: Techno- functional Data Governance/Data Quality Preferred Skill Sets: Techno- functional Data Governance/Data Quality Years Of Experience Required: 10+ Education Qualification: BTech/MBA/MCA Mandatory Skill Sets: Data Governance Preferred Skill Sets: Data Governance Education Qualification: BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Data Governance Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Optimism {+ 24 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Senior Lead Data Management Analyst for Home Lending Data Analytics Team Data-Management-Analyst-for-Home-Lending-Data---Analytics-Team About this role: Wells Fargo is seeking a Senior Lead Data Management Analyst to join our Data Insights and Analytics (DIA) team. This role will provide support as an Application Business Owner (ABO) role for Home Lending applications and compliance with Enterprise policies related to both data and application management. The DIA team fulfills the Enterprise defined ABO role. ABO is a required role for all applications registered in the companys Remedy Asset Management system. The Application Business Owner has a variety of roles and responsibilities which are not static. The ABO roles and responsibilities must adapt to changes in policy and application requirements, but at the heart of the role is a responsibility to drive compliance activities for their applications, included compliance with data management; application lifecycle management; records management; access management; information security; risk & regulatory reporting; business continuity; and RCSA policies. The DIA team also helps to connect Home Lending data to the broader Enterprise In this role, you will: Manage requests and perform highly complex support functions that evidence compliance with 14+ Enterprise policies and procedures Build relationships with business partners at all levels both within and outside of Home Lending Collaborate with functional business partners, leaders, and executive management to provide support for strategic initiatives related to data management and risk mitigation Responsible for proactively identifying potential risks when implementing change, along with developing mitigation strategies and plans Lead cross-organizational initiatives to review, define, enhance, and document our processes, procedures, and controls Manage stakeholder relations with key partner groups and various teams across the organization Establish and execute program change management processes to support controls, implementation, and adoption Develop strategy and resolution of highly complex and unique challenges that require solid analytical skills, extensive knowledge of business execution, application inventory, and business units utilizing application inventory to deliver longer term and larger-scale solutions Lead team and stakeholder meetings to facilitate decision making and drive adoptions and adherence to program requirements Strategically engage with all levels of professionals and managers across multiple lines of businesses and serve as an expert advisor to the leadership Should be able to provide strategic solutions to business Required Qualifications: 7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Proficient in implementing a unified data strategy that aligns with the overall business objectives of HL. Guide the team on how to leverage data assets effectively while ensuring adherence to industry standards and best practices. Champion a comprehensive data quality framework to ensure high standards of data integrity, consistency, and accuracy across all data systems and processes. Serve as the primary liaison between data management, BIA, Tech and Product. Work cross-functionally to ensure data strategy and quality initiatives are aligned with broader business goals. Continuously evaluate and refine data management processes to enhance operational efficiency. Innovate and implement automated solutions enabling scalable and agile data management and governance practices. Excellent verbal, written, and interpersonal communication skills Ability to navigate through ambiguity and maintain momentum which drive toward results and clarity in uncertain situations Knowledge of experience with data related tools: ADMF, Collibra, Ab Initio, JIRA, SHRP Knowledge of and experience with key HL applications: MSP, LO SHAW, CORE, CMIE etc. Working knowledge of the audit life cycle, standards, practices and testing strategies Knowledge of third-party risk management and regulatory compliance; understanding of operational oversight for third party execution and third-party regulations Knowledge of enterprise risk management framework concepts, including risk identification, risk appetite and strategy, risk related decisions, processes and controls, risk analytics and governance. Familiarity with formal project and change management processes, particularly Agile and similar methodologies Proven and demonstrated leadership skills including relationship building, partnering and collaboration skills with clear ability to influence, gain buy-in and negotiate with a diverse group of key business partners/stakeholders including senior management Strong analytical skills with keen attention to detail with ability to draw conclusions and translate findings Ability to grasp complex business issues quickly, recommend solutions, and drive for resolutions Facilitation skills, including ability to facilitate decision-making and broker agreements amongst diverse, differing, and/or conflicting perspectives/priorities. Ability to manage diverse relationships and foster collaborative team dynamic with Risk Management, Data Governance, Corporate Finance, and other key stakeholders at all levels of the organization Advanced Proficiency Microsoft Office (Word, Excel, Outlook and PowerPoint) Proficient with delivering against: RCSA Policy Data Management Policy and Procedures COSO Policy Regulatory Reporting Governance & Oversight Policy Records and Information Management Policy Information Security Identity and Access Management Domain Policy Job Level: P5.

Role & responsibilities: Enhance and standardised Collibra data glossary. Linke assets, logical models, and processes within Collibra. Updated and verified data lineage and quality metrics. Reporting and dashboards in Collibra for governance oversight. Creation of SOPs or process documents so everyone can align Preferred candidate profile: identify gaps and recommend improvements without requiring constant oversight. Document processes, decisions and the work being completed in Collibra Has experience in using Collibra Is familiar with data models and can link them to the Collibra assets Experience with Confluence. Will likely be creating SOPs and process documents in Confluence Mandate: Minimum 4 yrs of working experince.

Job Title: Collibra Engineer/Specialist Needed Capacity: 4 FTE About the Role: We are seeking a motivated and skilled Collibra Engineer/Specialist to join our project team. This role involves working closely with Collibra, including designing, implementing, and optimizing workflows. The ideal candidate will have a strong background in Data Engineering and a willingness to deepen their expertise in Collibra and all of its features. Responsibilities: Design, develop, and maintain Collibra workflows tailored to our project's specific needs. Collaborate with cross-functional teams to ensure seamless integration of Collibra with other systems. Educate team members on Collibra's features and best practices. (or) Educate oneself on Collibra's features and best practices. Engage with customers to gather requirements and provide solutions that meet their needs. Stay updated with the latest developments in Collibra and data engineering technologies. Must-Haves: Excellent communication skills in English (reading, writing, and speaking). Background in Data Engineering or related disciplines. Eagerness to learn and become proficient in Collibra and its features. Ability to understand and apply Collibra's use cases within the project scope. Nice-to-Haves: Previous experience with Collibra or similar data cataloguing software. Familiarity with workflow design and optimization. Experience in requirement engineering, particularly in customer-facing roles. Knowledge of other cataloguing software and their integration with Collibra.

Manager- Enterprise Data- 4-8 years- Mumbai (Hybrid) LOCATION - Mumbai Future Employer- This global financial services organization operates as a strategic capability center supporting a leading investment and savings business headquartered in the UK. With a focus on delivering technology, data, operations, and customer service solutions, it plays a critical role in enabling business growth and operational efficiency across global markets. Primary Key Responsibilities: Collaborate with Data Owners, Data Stewards, and business/technology teams to populate the enterprise data catalogue. Work with stakeholders to define and create data quality rules within the chosen data quality tooling. Support the roll-out and adoption of data management tooling and marketplace across various business areas. Assist in the implementation of data management policies, standards, and procedures. Contribute to other data management activities as required to enhance the organization's data capabilities. Utilize SQL to query and analyze datasets for data profiling and validation. Effectively manage time, prioritize tasks, and organize work to ensure deadlines are met. Demonstrate a proactive approach to learning and a passion for making a tangible difference in data management practices. Requirements: Practical experience of working in a data governance/management team at a significant organization for 4+ years. Working experience in one or more data management tools such as Informatica Axon/IDQ/EDC, Collibra, Datactics, or Microsoft Purview. Good knowledge of SQL for querying and analyzing datasets. Effective time management, prioritization, and organizational skills. Demonstrated passion and enthusiasm to learn and contribute to data management initiatives. Bachelor's or Master's degree in IT. Experience working in the financial services / insurance industry (Desirable). Data Management certifications (a plus). What's in it for you? Opportunity to be part of a significant transformation program within a leading financial services organization. Exposure to cutting-edge data management tools and technologies. Collaborative work environment with opportunities to interact with various business and technology stakeholders. Be a key contributor in building and enhancing the organization's data governance and management capabilities. Potential for professional growth and development within the Enterprise Data team and M&G plc. Be part of an inclusive employer that values diversity and fosters a culture where difference is celebrated. Reach us If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at priya.bhatia @crescendogroup.in Disclaimer Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.