4985 Data Governance Jobs - Page 29

Data Governance Collibra/Alation/Informatica/Purview (Any 3) Strong understanding of DG frameworks such as DCAM, DAMA DMBOK Certifications in DG (e.g CDMP, DCAM, collibra ranger, IDGC) Hands-on Implementation experience using tools like Collibra, Alation, Informatica, Purview etc. Experience with ERP systems. Strong knowledge of data quality management processes and concepts including matching, merging, creation of golden records for master data entities.

We are seeking a highly knowledgeable, detail-oriented, and passionate Music Data Analyst to join our dynamic content team. This pivotal role is responsible for ensuring the accuracy, richness, and consistency of our vast music metadata catalog, with a particular focus on Western music. The ideal candidate will possess an encyclopedic knowledge of artists, albums, tracks, and genres, coupled with exceptional web research capabilities and outstanding communication skills. You will be instrumental in maintaining the integrity of our music data, directly impacting user experience, content discoverability, and internal data-driven initiatives. Key Responsibilities: Data Research & Enrichment: Conduct in-depth web research using various authoritative sources to gather, verify, and enrich music-related data, including artist biographies, album details, track information, release dates, credits (composers, producers, engineers), lyrical content, and more. Metadata Quality Assurance: Meticulously review, audit, and correct existing music metadata to ensure accuracy, completeness, and adherence to internal style guides and industry standards. Content Categorization: Apply expert knowledge to accurately classify and tag music content based on genre, sub-genre, mood, theme, instrumentation, lyrical content, and other relevant attributes. Discrepancy Resolution: Identify, investigate, and resolve discrepancies, inconsistencies, or gaps in music data, collaborating with internal teams as needed. Trend Monitoring: Stay abreast of new music releases, emerging artists, industry trends, and evolving music data standards to proactively enhance our catalog. Documentation & Guidelines: Contribute to the development and refinement of internal data guidelines, best practices, and research methodologies. Required Qualifications: Exceptional Western Music Knowledge: A demonstrable, deep, and broad understanding of Western music across various genres (e.g., Pop, Rock, Hip-Hop, R&B, Country, Electronic, Classical, Jazz, Folk, etc.), eras, artists, albums, and their historical context. This is paramount. Superior Web Research Skills: Proven ability to efficiently and effectively find, evaluate, and synthesize information from diverse online sources (e.g., official artist websites, reputable music databases, industry news, academic resources). Excellent Language & Communication Skills: Written: Impeccable grammar, spelling, and punctuation. Ability to write clear, concise, and accurate data entries, reports, and internal communications. Verbal: Strong ability to articulate complex information, ask clarifying questions, and collaborate effectively with team members. General Skills: Data Accuracy, Attention to Detail, Communication Skills, Language Skills, Problem-Solving, Analytical Thinking, Information Management, Research Skills, Digital Literacy.

Qualifications and Experience: The successful candidate will meet the following criteria: 1-2 years experience working in an enterprise CRM system. Working knowledge/experience of Salesforce would be an asset Experience or knowledge of tools such as LinkedIn, Factiva, Hoovers, etc. Experience in conducting secondary research (e.g., market, companies, industries) Excellent oral and written communication skills Attention to detail, and ability to be a self-starter Ability to collaborate with culturally diverse offshore teams in different zones Working knowledge of data quality management, data entry improvement and user requirements Demonstrated ability to work effectively in cross-functional, virtual teams Process oriented and must be able to work with a high degree of detail and have high quality standards Ability to assist in development and implementation of policy, standards and procedures Demonstrated PC skills: Microsoft Office-Excel, Word, Access, and querying tools like SQL Strong analytical, conceptual, and problem-solving abilities Ability to present ideas in a user-friendly language Excellent organizational and time-management skills Ability to prioritize and execute tasks in a high-pressure, fast-paced environment Knowledge on CASL the Canadian anti-spam legislation and consent related processes Experience with Tableau is preferred, particularly in measuring data synchronization and working with large data sets. Experience managing marketing campaigns and handling consent-related processes is desirable. Proficiency in French is an advantage. Experience in project coordination will be an asset Experience with Generative AI (Gen AI) technologies would be an added advantage. Must-have Requirements: Working knowledge of CRM Salesforce for managing customer relationships and data. Experience in conducting secondary research. Understanding of data governance principles and best practices. Advanced proficiency in Microsoft Excel, including complex formulas and data analysis tools. Foundational knowledge of SQL for querying and managing relational databases. Awareness of data quality frameworks and techniques to ensure accurate and reliable information. Interested Candidates can share their resumes at Elizebeth.Gullanki@mycloudxtreme.com

As a Data Architect, your primary responsibility is to design and manage scalable, secure, and high-performance data architectures that cater to the needs of GEDU and its customers. You will play a crucial role in ensuring that data assets within GEDU are well-structured and managed to facilitate insightful decision-making, data integrity, and aligned with strategic goals. Your key responsibilities will include designing, developing, and maintaining enterprise data architecture, which encompasses data models, database schemas, and data flow diagrams. You will also be tasked with developing a data strategy and roadmap that aligns with GEDU's business objectives while ensuring scalability. Architecting both transactional (OLTP) and analytical (OLAP) databases to guarantee optimal performance and data consistency will also be part of your role. Moreover, you will oversee the integration of disparate data sources into a unified data platform by leveraging ETL/ELT processes and data integration tools. Designing and implementing data warehousing solutions, data lakes, and data marts that enable efficient storage and retrieval of large datasets will also be a critical aspect of your responsibilities. Ensuring proper data governance, including data ownership, security, and privacy controls in compliance with standards like GDPR and HIPAA, will be essential. Collaborating closely with business stakeholders, analysts, developers, and executives to understand data requirements and ensure that the architecture supports analytics and reporting needs will be crucial. You will also collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Guiding the selection of data technologies such as databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure), and analytics tools will be part of your role. Staying updated on emerging data management technologies, trends, and best practices and assessing their potential application within the organization will also be essential. You will be responsible for defining data quality standards and implementing processes to ensure accuracy, completeness, and consistency of data across all systems. Establishing protocols for data security, encryption, backup/recovery to protect data assets, and ensure business continuity will be vital. Additionally, you will lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Providing strategic guidance on data-related projects and initiatives to ensure alignment with the enterprise data strategy will also be part of your responsibilities. With over 7 years of experience in data architecture, data modeling, and database management, you should possess proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must), ETL/ELT processes, and data pipelines will be required. Expertise in Azure cloud data platform is a must, with additional experience in platforms like AWS (Redshift, S3), Azure (Data Lake, Synapse), Google Cloud Platform (BigQuery, Dataproc) being a bonus. Hands-on experience with big data technologies (Hadoop, Spark), distributed systems for large-scale data processing, data warehousing solutions, and BI tools (Power BI, Tableau, Looker) will also be beneficial. Your technical leadership skills should enable you to lead data-driven projects, manage stakeholders effectively, and drive data strategies across the enterprise. Strong programming skills in languages like Python, SQL, R, or Scala will also be necessary for this role. Finally, your pre-sales responsibilities will involve stakeholder engagement, solution development, developing proof of concepts (POCs), client communication, and delivering technical presentations to prospective clients. Ensuring that solutions align with business objectives, meet security and performance benchmarks, and effectively communicate technical requirements to clients and stakeholders will be crucial in the pre-sales process.,

The Oracle Master Data Management (MDM) role is crucial for ensuring the accuracy, consistency, and effective management of an organization's master data. With the increasing reliance on data for strategic decision-making, a robust MDM framework is essential. As an Oracle MDM specialist, you will utilize Oracle MDM solutions to streamline data management practices, ensuring data integrity, compliance, and accessibility across various business units. Your role will involve enhancing data quality by implementing best practices for data governance and data lifecycle management. Collaboration with stakeholders such as IT, business units, and data stewards will be key in establishing and maintaining a central repository of master data. You will be responsible for identifying data issues, proposing solutions, and providing support for data ingestion and consolidation processes. Your contributions will be vital in enabling accurate reporting, compliance, and operational efficiencies to support organizational goals. Key responsibilities include designing and implementing MDM solutions using Oracle technologies, defining data requirements and quality standards with business units, developing and maintaining data models and metadata, monitoring and improving data quality through profiling and cleansing, facilitating data governance initiatives, integrating master data with other enterprise systems, managing data lifecycle processes, conducting data audits, training end-users and data stewards on MDM tools and best practices, documenting data standards, policies, and procedures, identifying opportunities for automation and process improvement, providing insights on data management strategies, participating in project planning and execution for MDM initiatives, resolving data-related issues, and ensuring compliance with data privacy and protection regulations. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Systems, or a related field, along with at least 5 years of experience in Oracle MDM or similar data management roles. Proficiency in SQL, experience with Oracle databases, data modeling, data governance frameworks, data integration techniques, ETL processes, data quality tools, problem-solving skills, communication skills, project management, agile methodologies, analytical skills, reporting tools, data visualization techniques, knowledge of regulatory compliance issues, and certifications in Oracle MDM or related areas are advantageous. Additionally, you should be able to work collaboratively, possess proficiency in documentation and technical writing, and demonstrate a willingness to stay updated on industry trends in data management.,

The role of Human Resources Reporting and Data Analytics Lead, based in Mumbai, India, requires close collaboration with the HR teams across EMEA, APAC, and the US to enhance the capabilities within the Reporting and Analytics function. In this role, you will be responsible for designing, developing, and managing interactive dashboards, scorecards, and predictive analytics models focusing on workforce trends, employee engagement, retention, and talent acquisition. Additionally, you will create and distribute scheduled headcount reports to various client groups and stakeholders, analyze reports derived from the HCM database, and automate HR reporting using Excel macros. Your support will extend to providing ad-hoc assistance to teams outside of HR for annual reporting requests. Collaboration and stakeholder engagement are key aspects of this role. You will liaise with HR and business stakeholders to define data requirements, partner with HR Technology for analytics development, and work with IT and HRIS teams to enhance data integration and reporting capabilities. The transition and enhancement of reporting through the new HCM system will also be part of your responsibilities. As the lead in HR Reporting and Data Analytics, you will ensure the integrity, accuracy, and security of HR data across all platforms, establish data governance principles, and ensure compliance with regulatory and governance standards. Your qualifications should include a Bachelor's degree in Information Systems, Computer Science, Data Analytics, Statistics, or a related field, with at least 8 years of experience in reporting, analytics, or workforce strategy. Advanced Excel skills, experience with report automation, and knowledge of tools such as QuickSight and PowerBI are essential. Strong interpersonal and communication skills, previous experience with Oracle HCM, and the ability to work independently with attention to detail are also required. Jefferies Financial Group Inc. is a U.S.-headquartered global full-service investment banking and securities firm committed to diversity and creating a workforce that embraces differences in backgrounds. As a Human Resources Reporting and Data Analytics Lead at Jefferies, you will play a crucial role in leveraging data to drive strategic decision-making and support the company's growth and success.,

As a skilled and analytical Systems Analyst, you will play a vital role in our digital transformation team by evaluating business needs, analyzing system requirements, and driving implementation across various platforms and frameworks. Your attention to detail and ability to thrive in tech-forward environments will be key to success in this role. You will be responsible for analyzing, documenting, and enhancing business processes, systems, and data flows. Collaboration with stakeholders, developers, data teams, and QA will be essential to design scalable solutions. Acting as a liaison between business units and IT, you will ensure that systems align with business objectives. Leading requirements gathering, documenting functional specs, and system configuration will also be part of your responsibilities. Your involvement in the design and implementation of AI-integrated workflows, cloud applications, and microservices will be crucial. Conducting feasibility studies, cost/benefit analysis, and impact assessments for system changes will be required. Supporting API-based integrations between systems and ensuring compliance with standards for security, performance, and compliance will also fall under your purview. To qualify for this role, you should have a Bachelor's degree in Information Systems, Computer Science, or a related field, along with at least 5 years of experience as a Systems Analyst or in a similar role. Experience with Cloud platforms like AWS, Azure, or GCP, as well as SaaS solutions, is necessary. Strong proficiency in data models, SQL, and RESTful APIs is expected, along with familiarity with tools such as Jira, Confluence, Visio, or Lucidchart. A solid grasp of Agile/Scrum environments and software development lifecycles is also required, in addition to excellent analytical, problem-solving, and communication skills. Preferred skills for this role include experience with AI/ML-enabled platforms or generative AI tools, knowledge of iPaaS solutions like MuleSoft, Boomi, or Zapier, and familiarity with ERP systems (e.g., SAP, Oracle), CRM (Salesforce), or ServiceNow. Understanding data governance, privacy compliance, and cybersecurity basics would be advantageous. Certifications such as CBAP, ITIL, AWS Certified Solutions Architect, or Azure Fundamentals are also preferred for this position.,

At PwC, our team in managed services focuses on providing outsourced solutions and supporting clients across various functions. By managing key processes and functions on behalf of organisations, we help them streamline operations, reduce costs, and enhance efficiency. Our team members are proficient in project management, technology, and process optimization, enabling them to deliver high-quality services to clients. In managed service management and strategy at PwC, the focus is on transitioning and running services, managing delivery teams, programmes, commercials, performance, and delivery risk. Your role will involve continuous improvement processes and optimizing managed services tools and services. As an Associate at PwC, you will work collaboratively with a team of problem solvers to address complex business issues from strategy to execution. The responsibilities at this level include utilizing feedback and reflection for self-awareness and personal development, demonstrating critical thinking, ensuring quality and timely deliverables, adherence to SLAs, incident management, change management, and problem management. You will be expected to seek diverse opportunities for growth, maintain clear communication when influencing others, uphold ethical standards, demonstrate leadership capabilities, and contribute effectively to team environments. The ideal candidate for the role of AWS Cloud Engineer should possess extensive knowledge and/or a successful track record in various areas. This includes hands-on experience in building advanced data warehousing solutions on cloud platforms, operating managed services, developing scalable data structures and pipelines, designing and implementing data pipelines, and utilizing industry-leading tools such as AWS, PySpark, SQL, Python, and more. Additionally, experience in data governance solutions, data analytics tools, ITIL processes, strong communication, problem-solving skills, and analytical abilities are essential requirements for this role. PwC's Managed Services platform focuses on integrating services and solutions grounded in industry experience and talent, providing scalable solutions that add value to clients through technology and human-enabled experiences. The Data, Analytics & Insights Managed Service within this platform empowers clients to navigate and derive value from their data and analytics ecosystem efficiently. As a member of this team, you will work on critical offerings and engagements, including help desk support, enhancement, optimization work, strategic roadmap development, and advisory services, contributing both technically and relationally to customer engagements.,

As an Enterprise Data Architect at Ramboll Tech, you will play a vital role in transforming data into a strategic asset, ensuring it is well-structured, governed, and effectively leveraged for business growth. Your responsibilities will include identifying, analyzing, and recommending how information assets drive business outcomes, as well as sharing consistent data throughout Ramboll. By joining our Technology & Data Architecture team, you will collaborate with Domain Enterprise Architects, Data Strategy, and Data Platform teams to shape the enterprise data layer. Additionally, you will partner with Innovation and Digital Transformation Directors to drive digitalization, innovation, and scaling of digital solutions across various business domains. Your focus will be on delivering value by developing data strategies, roadmaps, and solutions that directly address the challenges and opportunities within our business areas. You will design and implement modern data architectures using cutting-edge technologies and ensure alignment with business objectives. Furthermore, you will work on integrating disparate business systems and data sources to facilitate seamless data flow across the organization. In this role, you will play a crucial part in designing and developing data models that support business processes, analytics, and reporting requirements. Additionally, you will collaborate with cross-functional teams, including business stakeholders, data scientists, and data engineers, to understand data requirements and deliver solutions that meet business needs. Your expertise in data architecture, cloud platforms, data integration, and data modeling will be essential in driving our digital transformation journey. We are looking for a candidate with a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 5 years of professional experience in data architecture. Experience with cloud platforms such as Microsoft Azure, GCP, or AWS, as well as a deep understanding of modern data stack components, is required. Strong skills in data modeling, ETL processes, and data integration are essential, along with experience in data governance practices. Your exceptional analytical and problem-solving skills, combined with your ability to design innovative solutions to complex data challenges, will be key to your success in this role. Effective communication and interpersonal skills will enable you to convey technical concepts to non-technical stakeholders and influence within a matrixed organization. By continuously evaluating and recommending new tools and technologies, you will contribute to improving the efficiency and effectiveness of data engineering processing within Ramboll Tech. Join us in shaping a more sustainable future through data-centric principles and innovative solutions. Apply now to be part of our dynamic team at Ramboll Tech and make a meaningful impact on our digital transformation journey.,

We are looking for a highly skilled and experienced Analytics Manager to lead our data analytics team. You should possess a deep understanding of data analysis techniques, statistical modeling, and data visualization. Your primary responsibility will involve overseeing the collection, analysis, and interpretation of data to provide actionable insights that drive business decisions and enhance organizational performance. As an Analytics Manager, you will need to develop and execute a comprehensive analytics strategy that aligns with the company's business goals and objectives. It will be essential to identify key performance indicators (KPIs) and metrics to measure business performance effectively. Collaboration with IT and data engineering teams to optimize data pipelines and ensure data availability will also be a crucial aspect of your role. Leading a team of data analysts in conducting data analysis, statistical modeling, and predictive analytics to extract actionable insights will be part of your daily tasks. Proficiency in data analysis tools and programming languages such as Python, R, and SQL will be necessary for performing data manipulation and analysis effectively. You will also be responsible for creating and overseeing the development of data visualization dashboards and reports to communicate insights clearly to stakeholders. Monitoring and analyzing business performance against established KPIs and benchmarks, identifying trends, anomalies, and opportunities for improvement through data analysis, and generating regular reports and presentations that convey data-driven insights to leadership and relevant stakeholders will be key responsibilities in this role. Additionally, translating complex data findings into actionable recommendations for business strategies and implementing data governance policies and standards to ensure data security, privacy, and compliance with relevant regulations will be crucial aspects of the job. Qualifications and Skills: - Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field (Master's degree is a plus). - Proven experience as an Analytics Manager or similar role with a successful track record in data analysis and management. - Deep understanding of data analysis techniques, statistical modeling, and data visualization tools (e.g., Tableau, Power BI). - Proficiency in data manipulation and programming languages (e.g., Python, R, SQL). - Strong analytical and problem-solving skills, with the ability to derive actionable insights from complex datasets. - Excellent written and verbal communication skills. - Project management skills with the ability to prioritize and manage multiple analytics projects. - Leadership and team management skills, with the ability to inspire and develop a high-performing analytics team. - Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA) is a plus. Benefits: - Competitive compensation package and performance-based bonuses. - Opportunities for professional growth and development. - Collaborative and innovative work environment. - Access to cutting-edge data analytics tools and technologies. - Chance to make a significant impact on data-driven decision-making within the organization. Job Type: - Full-time / Freelance / Part-time / Contract Experience: - A minimum duration of 6 months is mandatory. - In case of no prior experience, you have the option to apply for an internship. Location: - Chandigarh (U.T.) India If you believe you are a suitable candidate for this position, we invite you to share your CV and join our dynamic team, where innovation and growth are central to our mission. Feel free to spread the word on social media if you think this opportunity could benefit others. Sharing is caring!,

As an Informatica MDM Developer/Lead at Cognizant, you will be responsible for designing, developing, and implementing Informatica MDM solutions to support enterprise data management strategies. Your key responsibilities will include configuring and customizing MDM Hub, Match & Merge, Hierarchy Management, Data Governance, and Data Quality features. You will also develop cleansing, standardization, de-duplication, and enrichment rules for master data. Working on tools like Informatica Data Director (IDD), Service Integration Framework (SIF), and Informatica Data Quality (IDQ) will be part of your daily tasks. Collaboration with business stakeholders, data architects, and engineering teams to define and implement MDM solutions is vital for success in this role. You will optimize performance tuning, data load strategies, batch processes, and ensure the scalability of MDM solutions. Implementing data security, access control policies, and compliance standards for data management will be crucial. Your expertise will be required to troubleshoot and resolve MDM-related issues and provide production support. Documentation of technical designs, development activities, and best practices is essential. Staying updated with the latest MDM trends and Informatica advancements is also part of the job requirements. To excel in this role, you should possess skills in MDM, data governance, Service Integration Framework, Match & Merge, Informatica, MDM Hub, Informatica MDM, Informatica Data Quality, data quality, Informatica Data Director, data management, and hierarchy management. If you have a short notice period, you are highly preferred for this permanent role in Bangalore, India.,

The ideal candidate for this role will be responsible for collaborating with business users and stakeholders to define and analyze problems, and offer optimal technical solutions. You will be required to translate business requirements into technical specifications and design functional Business Intelligence (BI) solutions. Presenting architecture and solutions to executive-level personnel will also be part of your responsibilities. It is essential to adhere to industry best practices throughout the design and architecture phases of the solution. Ensuring the robustness and reliability of BI solutions during development, testing, and maintenance is crucial. Documentation of all aspects of the BI system for future upgrades and maintenance is a key task. You will also provide guidance to guarantee data governance, security, and compliance best practices in the architecture. The successful candidate should possess expertise in data modeling, including dimensional modeling, normalization/denormalization, and other data modeling techniques. Proficiency in extract, transform, and load (ETL) processes is required. Strong SQL coding skills and knowledge of database design principles are essential. Experience with any BI platform, preferably Power BI, is preferred. Knowledge of data warehousing concepts and tools, as well as experience with cloud platforms like AWS, Azure, and Google Cloud, is advantageous. Understanding data governance and data quality management, as well as proficiency in scripting languages like Python, R, or Java, are also required. Minimum qualifications for this role include 8+ years of experience in end-to-end design and architecture of enterprise-level data platforms and reporting/analytical solutions. Additionally, 5+ years of expertise in real-time and batch reporting, analytical solution architecture, and 4+ years of experience with PowerBI, Tableau, or similar technology solutions are necessary. Preferred qualifications include 8+ years of experience with dimensional modeling and data lake design methodologies, as well as experience with relational and non-relational databases like SQL Server and Cosmos. Strong communication and collaboration skills, along with creative problem-solving abilities, are essential. A Bachelor's degree in computer science or equivalent work experience is preferred. Experience with Agile/Scrum methodology, knowledge of the tax and accounting domain, and an Azure Data Engineer certification are advantageous. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.,

At Medtronic, you can embark on a lifelong journey of exploration and innovation, while contributing to the advancement of healthcare access and equity for all. As an IT Director of Data Engineering, you will play a pivotal role in designing and implementing data solutions for the Diabetes operating unit. Your responsibilities will involve leading the development and maintenance of the enterprise data platform, overseeing data pipeline management, ensuring scalability and performance, integrating new technologies, collaborating with various teams, and managing projects and budgets effectively. Your role will require a master's degree in statistics, computer science, mathematics, data science, or related fields with significant experience in data management. You must have demonstrated expertise in AWS services, Databricks, big data technologies, ETL tools, programming languages such as Python, SQL, and Scala, data orchestration tools like Airflow, and data hygiene processes. Additionally, experience in managing teams, project delivery, and communication skills are essential for this position. As a leader in this role, you will be expected to inspire technical teams, deliver complex projects within deadlines and budgets, and effectively communicate technical concepts to non-technical stakeholders. Certifications such as AWS Certified Solutions Architect are advantageous. Your strategic thinking, problem-solving abilities, attention to detail, and adaptability to a fast-paced environment are key attributes that will contribute to your success in this role. Medtronic offers competitive salaries and a flexible benefits package that supports employees at every stage of their career and life. The company's commitment to its employees is evident in its values and recognition of their contributions to its success. Medtronic's mission of alleviating pain, restoring health, and extending life drives a global team of passionate individuals who work together to find innovative solutions to complex health challenges.,

You have 5-10 years of experience and will be based in Hyderabad. Your role involves designing, developing, and maintaining advanced Looker dashboards on GCP to ensure they are user-friendly and offer actionable insights. You will create custom visualizations using JavaScript and collaborate with stakeholders to gather requirements and translate them into technical specifications. This includes integrating data from various sources with accuracy and consistency. Your responsibilities also include developing and optimizing LookML models for efficient data querying and visualization, implementing data governance, and data management best practices within Looker. You will monitor and optimize the performance of Looker dashboards, troubleshoot issues related to performance and data accuracy, and provide training and support to end-users. Additionally, you will communicate complex technical concepts to non-technical stakeholders, stay updated on the latest trends in data visualization, and identify opportunities to enhance existing dashboards and develop new ones. You will manage code changes using version control, validate data using Looker's SQL Runner, and review SQL queries and data structures to maintain data accuracy and integrity within Looker. Your role also involves creating compelling dashboards and visualizations that facilitate data-driven decision-making, collaborating with data engineering teams to ensure smooth integration between databases and Looker. You will contribute to the development of standard operating procedures and documentation while building strong data validation processes to ensure data accuracy and integrity within Looker.,

We are looking for a ServiceNow CMDB Admin & Architect to join our team at Astra IT Solutions in Chennai, Tamil Nadu. As a ServiceNow CMDB Admin & Architect, you will play a crucial role in ensuring the reliability and accuracy of our Configuration Management Database (CMDB) environment. If you are passionate about IT infrastructure and data integrity, this is the perfect opportunity for you! As a ServiceNow CMDB Admin & Architect, your responsibilities will include maintaining CMDB classes, attributes, relationships, and lifecycle, performing data audits, configuring reports and dashboards, managing ServiceNow Discovery and integrations, executing Data Certifications, and providing training to end-users and administrators. You will also be responsible for defining and driving integration of CMDB with authoritative data sources, documenting integration flows, mapping data models, identifying process improvements, and monitoring the reliability of CMDB integrations. To qualify for this role, you should have at least 2 years of experience in CMDB/ServiceNow environments, proficiency with ServiceNow Discovery, CMDB, and integration tools, strong analytical and communication skills, a degree in Computer Science or related field, ITIL Foundation certification or equivalent experience, and experience working in cross-functional global teams. Preferred qualifications include experience with ServiceNow ITSM, HAM, Knowledge Management, Reporting, and CSDM, familiarity with IRE, Service Graph Connectors, and APIs, and certifications such as ServiceNow CSA, CIS, CAD, as well as Agile and SDLC experience. If you meet these qualifications and are looking for an opportunity to make a significant impact in the field of IT infrastructure and data integrity, we encourage you to apply for the ServiceNow CMDB Admin & Architect position at Astra IT Solutions.,

As an experienced and knowledgeable SAP Ariba Trainer / Procurement Systems Trainer, you will be responsible for delivering high-quality training across various SAP Ariba modules and procurement processes. Your background in procurement operations, SAP Ariba functional modules, system integration, and hands-on experience in designing and delivering effective training programs for both technical and non-technical audiences will be crucial in this role. With over 7 years of experience in SAP Ariba implementations, you will play a key role in training a team of 30+ people, consisting of both freshers and junior engineers. Your responsibilities will include configuring and deploying Ariba Sourcing, Ariba Contracts, and SLP with risk management features. Additionally, you will be involved in implementing CIG for real-time synchronization between SAP Ariba and SAP S/4HANA/ECC, developing custom integrations using Ariba APIs, maintaining the Ariba Platform, and configuring PunchOut catalogs and Guided Buying interfaces. Your expertise in hands-on configuration of Ariba Buying, Invoicing, Sourcing, Contracts, SLP, and Supplier Risk modules, technical integration with CIG configuration, cXML messaging, and ERP middleware, as well as mastery of catalog management, master data integration, and compliance frameworks will be essential for success in this role. Your problem-solving skills will be put to the test as you troubleshoot API connectivity issues and Guided Buying customization challenges. Preferred qualifications for this role include SAP Ariba Certification in Procurement, Sourcing, or Integration, familiarity with SOAP/REST APIs, SAP Fiori, and Agile methodologies, as well as experience in mentoring junior consultants and managing cross-functional teams. Additionally, willingness to travel to client sites for critical training sessions is a must. If you are looking for a challenging role where you can leverage your expertise in SAP Ariba training and procurement systems, this position offers an exciting opportunity to make a significant impact in a dynamic environment.,

As a Data Management Consultant at SAP's Success Delivery Center, you will play a crucial role in supporting customers on their digital transformation journey by implementing Data Management solutions focusing on Data Migrations and Master Data Governance. You will be an integral part of project teams involved in SAP Implementations for clients. Your responsibilities will include being hands-on with solutions, possessing good communication skills to engage in business discussions, and having a functional understanding of Data Management, with prior development experience being an advantage. While occasional travel may be required based on customer needs, the primary focus will be on remote and offshore deliveries. One of your key responsibilities will be to own or acquire relevant SAP Business AI skills to effectively position and deliver SAP's AI offerings to our customers. You will also be tasked with enhancing the adoption and consumption of various SAP AI offerings in customer use cases. Joining the Data Management Solution Area team within BTP Delivery @ Scale, you will be part of a strong team of over 100 professionals delivering engagements across a wide range of Data Management topics such as Data Migration, Data Integration, Data Engineering, Data Governance, and Data Quality. The location for this role is in Bangalore. At SAP, we are dedicated to helping our worldwide customers work together more efficiently and utilize business insights more effectively. While initially recognized for our leadership in ERP software, we have evolved into a market leader in end-to-end business application software and related services encompassing database, analytics, intelligent technologies, and experience management. With a cloud-based approach, over 200 million users, and a global workforce exceeding 100,000 employees, we are committed to being purpose-driven and future-focused, fostering a highly collaborative team environment, and emphasizing personal development. Our inclusive culture, focus on well-being, and flexible working models ensure that every individual, regardless of background, feels included and empowered to perform at their best. We believe in leveraging the unique talents and qualities each person brings to the company, investing in our employees to inspire confidence and unlock their full potential, ultimately striving to create a more equitable world. SAP is an equal opportunity workplace and an affirmative action employer, committed to values of Equal Employment Opportunity. We provide accessibility accommodations to applicants with physical and/or mental disabilities. If you require accommodation or special assistance to navigate our website or complete your application, please contact the Recruiting Operations Team at Careers@sap.com. For SAP employees, please note that only permanent roles are eligible for the SAP Employee Referral Program, subject to the eligibility rules outlined in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Successful candidates for this role may be subject to a background verification process conducted by an external vendor. Requisition ID: 422293 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. In conclusion, as a Data Management Consultant at SAP, you have the opportunity to contribute to impactful projects, work in a collaborative and inclusive environment, and grow both professionally and personally within a global leader in business application software and services.,

As a Secure & Responsible Data Controls Senior Manager at our company, you will play a pivotal role in defining and implementing permissibility standards for novel data use cases to ensure legal, regulatory, ethical, and security compliance. Your responsibilities will include building and maintaining a central repository for guidelines, collaborating with cross-functional teams, and driving the establishment of data security/privacy protocols, ethical usage guidelines, and governance processes. Your expertise will be crucial in aligning with relevant regulations and mitigating associated risks. This role will require you to serve as both a strategic advisor and hands-on leader, working closely with multiple teams to create, maintain, and enforce robust frameworks for data usage, privacy, and regulatory compliance. You will be responsible for developing and maintaining clear, centralized guidelines covering legal, regulatory, ethical, and security considerations for data use cases. Additionally, you will update the repository regularly to reflect changes in regulations, organizational policies, and emerging data practices. Collaboration with business, legal, IT, and data teams will be essential to ensure that all data usage aligns with data protection regulations and organizational policies. You will also be tasked with performing risk assessments and recommending solutions to mitigate potential compliance gaps in data practices. Your role will involve establishing and enforcing data security/privacy protocols such as encryption, anonymization, and access controls, while advocating for ethical data usage. You will create and deliver training programs to educate stakeholders on compliance, risk management, and responsible data practices. Additionally, you will lead cross-functional projects, coordinate timelines, resources, and deliverables for data security and privacy initiatives. Driving change management efforts to ensure stakeholder buy-in and long-term adoption of secure and responsible data controls will be a crucial aspect of your responsibilities. To excel in this role, you should possess expertise in data security & privacy, including a deep understanding of core concepts like encryption, access controls, and anonymization. Hands-on experience with governance tooling and knowledge of creating and managing a repository of policies and guidelines will be beneficial. Your skills in interpreting complex regulations such as GDPR, CCPA, HIPAA, and SOC 2, and translating them into actionable organization-wide practices will be highly valued. Strong ethical orientation and exceptional communication and negotiation skills for aligning cross-functional teams, including executives, on security and privacy objectives will be essential. A proven track record of delivering results in a matrixed environment and balancing stakeholder interests and project constraints is also crucial. Your detail-oriented approach, adeptness at identifying potential risks early, and implementing proactive measures will be key to success in this role. Demonstrated ability to drive continuous improvement, regularly refining processes to enhance secure and responsible data usage will be highly valued. With a minimum of 10 years of experience in data governance, data privacy, or compliance-related roles, and a Bachelor's or Master's degree in Information Management, Data Science, Law, Business Administration, or a related field, you are well-suited for this challenging and rewarding position at our company.,

Data Dynamics is a global leader in enterprise data management, focusing on Digital Trust and Data Democracy. Trusted by over 300 organizations, including 25% of the Fortune 20, Data Dynamics is committed to creating a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software revolutionizes traditional data management by empowering data creators of all skill levels to have ownership and control over their data. As a Storage Solutions Architect at Data Dynamics, you will play a crucial role in technical pre-sales and customer management for our data management software solution. Your responsibilities will include gathering business and technical requirements from customers, coordinating technical information, providing demonstrations, and showcasing the product's capabilities. Your role will involve researching customers" specific requirements and ensuring supportability. You will be expected to assess customers" business needs and translate them into technical and licensing requirements. In the case of a Proof of Concept (POC) or sale, you will collaborate with the sales representative to review the work. For existing customers targeted for upsell or cross-sell, you will work closely with the customer success manager and the global support team as needed. Additionally, you will facilitate a smooth transition to the implementation team for seamless customer experience. Your role will also involve setting up and conducting demonstrations and POCs independently. You will define success criteria with customers and sales representatives, track goal achievement during the POC process, and seek approval from customers post-POC. Following a sale, you may be required to assist or lead the installation based on time zones and resource availability. Given your daily interactions with customers, you are expected to advocate for them by providing feedback to relevant teams within Data Dynamics. Your input on business processes, technical issues, and enhancements is vital for driving continuous improvements and ensuring customer success and satisfaction. Other duties may include script writing, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or company meetings may be necessary. At Data Dynamics, we value creating exceptional customer experiences and foster a collaborative, challenging, fun, and innovative work environment. If you are customer-centric, passionate about building scalable data-driven software, and meet the qualifications outlined below, we would like to hear from you. Qualifications: - Proficiency with Windows and Linux, Docker, and Kubernetes - Knowledge of File/NAS and Object Storage, SQL, Postgresql, Elasticsearch - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword search, Regex, Data Governance (GDPR, HIPAA, CCPA) - Experience with Microservices-based applications, ITILv4, Project Management, Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team environment - Background in data management or related field is a plus - Bachelor's degree in Computer Science, Engineering, or related field,

You will be responsible for determining Datawarehouse structural requirements by analysing client applications, programs, and operations. Achieving an expert level understanding of Client applications and environments will be crucial for this role. Working closely with key data consumers (business data analysts, data scientists etc.) to understand needs and challenges and coming up with strategy and solutions will be a part of your responsibilities. Reviewing the DW/Product objectives with Client business teams and developing Datawarehouse solutions by designing the proposed system will also be essential tasks. Defining the DW physical structure and functional capabilities, security, back-up, and recovery specifications will be a key aspect of this role. In terms of technical experience, you should have experience in Data Governance, Data Maintenance, Security, Data Management, Requirements Analysis, and Data integration with On-Prem, hybrid, and Cloud models. Familiarity with relational and/or unstructured data technologies such as SQL Server, Azure Synapse, Azure Data Lake, Cosmos DB etc. will be required. Experience with visualization tools like Power BI is also necessary. Knowledge and experience in designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines using Azure Databricks is desired. A bachelor's degree from an accredited college or university with a major in Computer Science or a related field of study is a prerequisite for this role. Excellent communication and presentation skills with exposure to client handling are also expected.,

As a candidate for the position, you will be responsible for supporting system assessment and IT implementation as part of the End-to-end Data Create process implementation for Right First Time (RFT) data entry. This includes performing impact assessments where GPS systems are affected due to data lifecycle design changes, guiding retrofit activities to enable data lifecycle processes, and working with IT for system implementation and testing. Your role will also involve ensuring sustainment plans align with GPS Network standards and SOP documentation. You will drive new attribute implementation into the Decision Intelligence capability by translating Data Lifecycle designs into action plans and coordinating testing. Collaboration with the Data Strategy and Governance team and Decision Intelligence CoE will be essential to integrate necessary Business Rule/standard updates and ensure testing plans are in place for the Data Quality dashboard. To qualify for this role, you should hold a B.S. or BA in supply chain, management, and/or engineering, with experience across multiple Global Product Development and Supply business functions. Operational excellence experience and familiarity with Strategic Data Management disciplines, including Data Governance, Master Data Management, and Data Quality Management, are desired. Knowledge of current Good Manufacturing Practices (cGMP) and regulatory requirements is important, especially in Biotech/Pharmaceutical manufacturing processes. Experience in ERP systems like SAP and Oracle, particularly in SAP deployment and implementation, is essential. Additional requirements for this role include strong business acumen, problem-solving skills, and analytical capabilities. You should be able to lead cross-functional project teams effectively, hold yourself and others accountable for results, and build collaborative relationships to drive business forward. Change agility and digital dexterity are also key qualities needed, as you will be expected to navigate change with confidence and leverage emerging technologies for better business outcomes. Overall, this role requires a candidate with a diverse skill set and experience in data management, system implementation, and cross-functional collaboration to drive business excellence and innovation.,

As a Data Architect at Astellas, your role involves close collaboration with study leads, research scientists, statisticians, clinicians, regulatory experts, and DigitalX professionals to establish and uphold robust data architecture frameworks that align with business objectives, regulatory mandates, and industry standards. Your expertise in Data Engineering, Data Modeling, and governance processes is pivotal in maintaining data integrity, security, and accessibility. By leveraging data, you play a strategic role in advancing the company's mission, driving scientific progress, improving patient outcomes, and introducing innovative therapies securely to the market. Your key responsibilities include managing data operations on AWS architecture, overseeing ETL processes, ensuring data quality, and automating data loads. You will collaborate with internal and external teams for data curation, cataloging, and metadata management. Proficiency in RWD assets and data sources like IQVIA, SYMPHONY, and OMICS sources is crucial. Enforcing data governance, information management policies, and maintaining data security are essential aspects of your role. Your proficiency in Python, Django framework, web technologies, RESTful APIs, and database management systems such as PostgreSQL or MySQL will be highly valuable. Moreover, you will identify areas for improvement in analytics tools, participate in concurrent projects, ensure optimal RWD Analytics environments, and drive process improvements initiatives. Collaborating with Advanced Analytics Solution teams, you will design and implement impactful solutions aligned with long-term strategies. Your problem-solving skills, Agile methodology experience, and excellent communication abilities will be key in successful collaboration with cross-functional teams and stakeholders. Required Qualifications: - Bachelor of Science degree in Computer Science, Information Systems, Data Science, or related field - 5+ years of relevant experience in data architecture or engineering roles within the healthcare industry Preferred Qualifications: - Master of Science degree in Computer Science, Information Systems, Data Science, or related field - 3+ years of experience in Life Sciences industry - Expertise in ETL, data modeling, data integration techniques - Proficiency in programming languages like Python, Django, web technologies, RESTful APIs, and database management - Strong understanding of life sciences business processes and Agile methodology experience - Excellent communication, interpersonal skills, and project management capabilities - Relevant certifications in cloud computing and data engineering tools/platforms are advantageous Category: Bold X Astellas is dedicated to promoting equality of opportunity in all aspects of employment, including Disability/Protected Veterans.,

Data Quality and Governance Specialists play a crucial role in ensuring the accuracy, consistency, and compliance of HR data with relevant regulations and policies. They are responsible for establishing data quality standards, designing data validation processes, identifying and resolving data inconsistencies or errors, implementing data governance frameworks, ensuring data privacy and security, and offering guidance on data management best practices. The primary objective of Data Quality and Governance Specialists is to enhance the reliability and usability of HR data to facilitate informed decision-making and operational efficiency. They are tasked with delivering projects, leading project teams or streams, and developing strong relationships with stakeholders. Data Quality and Governance Specialists are recognized for their domain expertise and ability to effectively lead and manage organizational change initiatives. They exhibit proficiency in collaborating with cross-functional teams, fostering consensus for decision-making, analyzing complex situations, evaluating alternatives, and making sound decisions in a timely manner. Overall, Data Quality and Governance Specialists play a vital role in maintaining the integrity and quality of HR data while driving continuous improvement efforts to support strategic business goals and objectives.,

Are you a data enthusiast with a passion for analytics We are seeking a Data Engineer Financial Analytics Specialist to join our Data and Analytics team at RWS. This role combines advanced technical skills in SQL and ETL with analytical thinking and financial business acumen. You will be instrumental in designing and implementing data transformations and pipelines to support complex business requirements, particularly in financial data systems. This is a hands-on technical role with a significant focus on problem-solving, mathematical reasoning, and creating solutions for intricate business processes. This position is ideal for someone with a quantitative background in computer science, mathematics, or a related field, who thrives on developing innovative solutions, optimizing data workflows, and ensuring data accuracy. We are looking for a candidate who is self-motivated, detail-oriented, and possesses exceptional technical skills, alongside a strong sense of ownership and accountability. The primary focus of this role will be financial data projects within a collaborative and dynamic team environment. Key Responsibilities SQL Development: Write advanced T-SQL queries, stored procedures, and functions to handle complex data transformations, ensuring optimal performance and scalability. Perform query performance optimization, including indexing strategies and tuning for large datasets. Data Engineering: Design, develop, and maintain ETL/ELT pipelines using tools like SSIS, ADF, or equivalent, ensuring seamless data integration and transformation. Build and automate data workflows to support accurate and efficient data operations. Business and Financial Data Solutions: Collaborate with stakeholders to understand financial business processes and requirements. Develop tailored data solutions to address challenges such as cost allocation, weighted distributions, and revenue recognition using mathematical and logical reasoning. Problem-Solving and Analysis: Conduct root cause analysis for data issues, resolving them swiftly to ensure data accuracy and reliability. Apply critical thinking and problem-solving to transform business logic into actionable data workflows. Collaboration and Governance: Partner with cross-functional teams to ensure data solutions align with business objectives. Document data workflows, pipelines, and processes to support ongoing maintenance and scalability. Required Skills and Experiences Minimum 5 Years of experience with the mentioned technologies or similar role. Technical Expertise: Advanced proficiency in T-SQL and SQL Server, including tools like SSMS, SQL Profiler, and SQL Agent. Proven experience developing and optimizing complex queries, stored procedures, and ETL pipelines. Proficiency with SSIS for data integration and transformation. Problem-Solving and Analytical Thinking: Strong critical thinking and mathematical reasoning skills to design efficient solutions for business problems. Demonstrated ability to handle complex financial data challenges, including proportional distributions and other mathematical transformations. Business Acumen: Solid understanding of financial concepts and processes, enabling seamless translation of business needs into data solutions. Collaboration and Communication: Ability to work effectively with business stakeholders, translating requirements into technical solutions. Excellent interpersonal and communication skills, fostering collaboration across teams. Additional Skills: Familiarity with Python, C#, or similar scripting languages for backend integration. Experience with cloud ETL tools such as Azure Data Factory (ADF), Fivetran, or Airbyte. Knowledge of data governance and compliance principles. Life at RWS At RWS, we're here for one purpose: unlocking global understanding. As a unique, world-leading provider of technology-enabled language, content, and intellectual property services, we remove barriers to communication to make global connection possible. Our unrivalled experience and deep understanding of language have been developed over more than 60 years. As we look to shape the future, our ambition is to create a world where understanding is universal for everyone. We work with over 80% of the world's top 100 brands, more than three-quarters of Fortune's 20 Most Admired Companies, and almost all the top pharmaceutical companies, investment banks, law firms, and patent filers. Our client base spans Europe, Asia Pacific, North and South America. Our 65+ global locations across five continents service clients in the automotive, chemical, financial, legal, medical, pharmaceutical, technology, and telecommunications sectors. If you like the idea of working with smart people who are passionate about breaking down language barriers and giving back to their communities, then you'll love life at RWS. Our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career. In return, we expect all our people to live by the values that unite us: to partner with colleagues and clients, to adopt a pioneering spirit, to be positive in progressing the work we do, and always to deliver what we promise. RWS Values Get the 3Ps right - Partner, Pioneer, Progress - and we'll Deliver together as One RWS. For further information, please visit: RWS Recruitment Agencies: RWS Holdings PLC does not accept agency resumes. Please do not forward any unsolicited resumes to any RWS employees. Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void.,

We are seeking a highly motivated and skilled Salesforce Data Cloud Lead to take charge of designing, developing, and optimizing Data Cloud data models and use cases. You will collaborate closely with cross-functional teams, including Marketing, IT, and Data Analytics, to deliver dynamic content and personalized experiences to our customers. Key Responsibilities: Lead the complete implementation of Salesforce Data Cloud (CDP), encompassing data acquisition, integration, quality assurance, and utilization. Configure and execute data-driven segmentation strategies to ensure precise audience targeting and content delivery. Design, document, and implement data models, data pipelines, and transformations to facilitate data ingestion, integration, and enrichment within Salesforce Data Cloud. Stay curious and stay updated with the fast-paced releases introduced to the platform. Work in collaboration with IT teams to guarantee seamless data integration, troubleshoot technical issues, and enhance system performance for data initiatives. Integrate data from diverse sources such as CRM systems, databases, and third-party platforms to bolster marketing and personalization efforts. Provide training and assistance to development teams in leveraging Salesforce Data Cloud features and functionalities. SFDC Skills: Customize and optimize the Data Cloud platform to align with business requirements. Integrate Data Cloud with: - Salesforce CRM - Salesforce MC - Salesforce Marketing Intelligence - Websites/microsites using SDK method (configuring connectors, sitemaps, schema, data streams) - Snowflake - Other sources Establish and manage data streams from various sources to ensure seamless data flow. Configure and develop criteria for Identity management, data transformations, and calculated insights. Set up lead scoring based on customer data from CRM and engagement data from different touchpoints, like websites and MC engagement, using data transformations and calculated insights. Configure data transformations for data lake objects. Create and maintain data models that elevate data quality and usability. Aid in forming customer segments and supporting marketing and analytics teams. Monitor the platform to promptly identify and resolve disruptions or errors. Qualifications: Bachelor's degree in Computer Science, Information Technology, Marketing, or a related field. Proven experience (2+ years) with a strong emphasis on Salesforce Data Cloud and/or custom database solutions. Preferably possess Salesforce Data Cloud Consultant certification. Thorough understanding of marketing automation, data segmentation, personalized customer journeys, decisioning, and Next Best Action. Proficiency in data integration and API utilization. Expertise in data modeling, ETL processes, data integration tools, and SQL. Hands-on experience with customer data platforms (CDPs) and data management practices, including data governance and compliance. Excellent problem-solving abilities and meticulous attention to detail, with adeptness in troubleshooting operational challenges. Familiarity with cloud technologies (e.g., AWS, Azure, GCP) and data modeling/scoring technologies. Strong communication and collaboration skills, enabling effective teamwork across cross-functional teams. Location: DGS India - Pune - Baner M- Agile Brand: Merkle Time Type: Full time Contract Type: Permanent,