4985 Data Governance Jobs - Page 18

Role Description The Divisional Risk and Control Specialist - Data Analyst is responsible for delivering specific aspects of the risk and control strategy for a sub-division. This includes reviewing, mining, enriching control inventory data for management of information and reporting. Understanding operational processes for monitoring risk and control activities, risk-based control reporting of key issues, performance, and validation of cyclical activities such as certification, annual control self-assessments. It would also include, supporting control assurance, incident research, remediation monitoring and other ad hoc control initiatives and projects. The Divisional Risk and Control Specialist - Data Analyst will liaise with other risk and control functions, on a management level to assure the integration of risk initiatives and projects. What well offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Data Analysis : Collect, clean, and validate data to create standardized reports. Analyse resulting large datasets to identify trends, patterns, and opportunities for improvement Reporting and Visualization : Develop and maintain interactive dashboards and reports using tools like Excel, Tableau, Power BI etc. to present actionable insights to stakeholders. Advanced Excel - Use advanced Excel functions (e.g., Power Query, PivotTables, VBA, array formulas) to manipulate and analyze data efficiently Statistical Analysis : Run statistical analysis or predictive modeling to arrive at informed business decisions. Collaboration : Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. Work with internal team and stakeholders to frame business questions and prioritize business needs. Data Quality : Monitor data quality, identify areas for improvement, and implement data governance policies ensuring data accuracy, integrity, and consistency across reporting platforms. Data Mining: Data Classification, Clustering for Improved Decision Making Data Governance : Track data origin, processing and movement to ensure transparency and accountability. Delivery and Tracking: Non-Financial Risk deliverables, status, and issues. Findings Management : Present findings and recommendations to stakeholders in a clear and compelling manner. Automation : Automate recurring reporting tasks and optimize data workflows. Trigger Driven Data Analysis : Support ad hoc analysis and business intelligence initiatives. Additional Responsibilities : Review of existing controls framework and documenting required controls in line with the Banks risk framework and taxonomy ensuring Minimum Control Standards are met with and standardized across the Corporate Banking Global Footprint. Ability to continually read and comprehend complex process documentation, assess the control requirements for a process and write the controls in clear and unambiguous language to meet the standards prescribed by the Risk Organization Your skills and experience 11+ years of proven experience in Data Management, Mining, Analysis, Reporting & Visualization and Governance Proficient with MS Office (Excel, PowerPoint, Word, etc) – strong excel skills required SharePoint Power BI, Excel Macro and VB Scripting Tableau knowledge will be plus. Ability to communicate and maintain effective working relationship with global stakeholders Strong analytical skills, high attention to detail, solid organizational and interpersonal skills Excellent verbal and written articulation Strong ability to interact, collaborate, communicate, and influence individuals at all levels Effective problem solving and decision-making capability Experience operating in a complex and fast-paced global environment Open-minded, capability to share information, transfer knowledge and expertise with others Knowledge of financial domain & terminology would be a plus How we’ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Director- Business Intelligence Location: India (Remote) Position Summary: We are seeking a strategic, hands-on Director of Business Intelligence to lead our global BI function. While this role is based in India, the ideal candidate brings strong business acumen, cross-functional leadership, and experience working closely with US-based business teams, not just technical expertise. This leader will be responsible for building and executing the BI roadmap, aligning KPIs across departments, owning and administering our enterprise data governance program, and ensuring our data assets are accurate, accessible, and actionable. Product owner or product manager experience is highly desirable, as this role requires prioritizing initiatives, translating stakeholder needs into deliverables, and delivering impactful data solutions. This is a remote role based in India. Key Responsibilities Leadership and Strategy Own and execute the company's BI strategy in alignment with broader business objectives Serve as the central liaison across business units to gather requirements and align reporting priorities Develop and manage the BI roadmap, including tool selection, platform improvements, and team development Provide product owner-like leadership to scope, prioritize, and deliver BI and data governance initiatives Lead high-impact BI projects from planning through delivery, ensuring stakeholder engagement throughout Insights and Analytics Oversee the creation of dashboards, reports, and analytical models to support executive decision-making and business operations Partner with FP&A, marketing, operations, and product teams to define and track key performance indicators (KPIs) Promote a culture of data literacy and empower teams with self-service analytics capabilities Data Governance Own and lead the company's enterprise data governance program Define and enforce consistent data definitions, standards, and policies across departments Collaborate with compliance, IT, and data engineering to ensure alignment with privacy, accuracy, and regulatory requirements Technology and Tools Evaluate and manage BI platforms such as Qlik Sense, Tableau, Power BI, and Snowflake Oversee ETL processes, data warehousing strategy, and the integration of multiple data sources Collaborate with technology partners to ensure a scalable, modern, and secure BI architecture Qualifications Bachelors degree in Business, Computer Science, Data Science, or a related field (Masters preferred) 8 or more years of experience in BI, analytics, or data strategy roles, with at least 3 years in a leadership capacity Strong track record of stakeholder engagement and delivering business-focused BI solutions Proficiency with BI tools, SQL, data modeling, and modern data stacks Experience leading or supporting enterprise data governance programs Familiarity with Agile or product ownership methodologies is a strong plus Excellent communication, prioritization, and project management skills Comfortable working in a fast-paced, global environment with distributed teams What You'll Get If You Join Us Fully remote opportunity based in India Competitive salary plus bonus Health, life, and personal accident insurance A collaborative, innovative culture where your work makes a visible impact Opportunities to expand your skill set and shape company-wide data strategy

Hello, Greetings from ZettaMine!! We are hiring experienced SAP MDG professionals for multiple projects in our Bengaluru location. The ideal candidate should have strong expertise in SAP Master Data Governance, with proven experience in delivering end-to-end implementations and support. Job Description - SAP Master Data Governance MDG Location: Bengaluru Experience Required: Minimum 7.5 years in SAP Master Data Governance (MDG) Looking for immediate Joiners Summary: We are seeking an experienced Application Developer SAP Master Data Governance (MDG) to design, build, and configure applications that support critical business processes. The ideal candidate will have strong expertise in SAP MDG, with proven ability to collaborate across teams, provide strategic solutions, and ensure application performance and usability. Roles & Responsibilities: Act as a Subject Matter Expert (SME) in SAP Master Data Governance (MDG) . Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions. Lead and manage the team, ensuring effective decision-making and accountability. Drive integration of SAP MDG with other SAP modules and business processes. Provide innovative solutions to complex problems across multiple teams. Facilitate knowledge-sharing sessions to enhance overall team capability. Monitor project progress, track deliverables, and ensure timely delivery of application features. Ensure compliance with organizational standards, best practices, and governance principles. Provide support, maintenance, and enhancements for existing applications. Professional & Technical Skills: Must-Have Skills: Strong hands-on experience in SAP Master Data Governance (MDG) Tool (minimum 7.5 years). In-depth knowledge of data governance principles, master data processes, and workflows . Proven expertise in integration of SAP MDG with other SAP modules (ECC, S/4HANA, etc.). Strong understanding of application development methodologies and best practices. Ability to troubleshoot, analyze, and resolve complex application issues. Experience in team collaboration, decision-making, and stakeholder management . Additional Information: The role is based in Bengaluru . Requires 15 years of full-time education . Strong communication, leadership, and problem-solving skills are essential. Interested candidates can reach on md.afreen@zettamine.com Thanks & Regards Afreen

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together. As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community Banking division, you will be responsible for leading various technical domains, overseeing the activities of multiple departments, and fostering cross-functional collaboration. Your technical expertise will be utilized across different teams to promote the adoption and implementation of advanced technical methods, helping the firm stay ahead of industry trends, best practices, and technological advancements. Leads multiple technology and process implementations across departments to achieve firmwide technology objectives. Directly manages multiple areas with strategic transactional focus. Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business. Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives. Manages multiple stakeholders, complex projects, and large cross-product collaborations. Influences peer leaders and senior stakeholders across the business, product, and technology teams. Champions the firm's culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within your domain of expertise. Proven experience in designing and developing large-scale data pipelines for batch & stream processing. Strong understanding of Data Warehousing, Data Lake, ETL processes, and Big Data technologies (e.g., Hadoop, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines, etc.). Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools. Excellent communication, presentation, and interpersonal skills. Experience developing or leading large or cross-functional teams of technologists. Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale. Experience leading complex projects supporting system design, testing, and operational stability. Experience with hiring, developing, and recognizing talent. Extensive practical cloud native experience. Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field. Preferred qualifications, capabilities, and skills include experience working at code level and ability to be hands-on performing PoCs, code reviews. Experience in Data Modeling (ability to design Conceptual, Logical and Physical Models, ERDs and proficiency in data modeling software like ERwin). Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices. Strong understanding of Data Validation / Data Quality. Experience with supporting large-scale AI/ML Data requirements. Experience in Data visualization & BI tools is a huge plus.,

We are looking for an experienced Senior Data Engineer with expertise in Microsoft Fabric to contribute to our enterprise data modernization and analytics transformation efforts. You should possess a strong understanding of data pipelines, lakehouse architecture, Power BI, Synapse integration, and the ability to modernize legacy data systems to cloud-native solutions. Your role will be crucial in developing scalable, secure, and high-performing data solutions within the Microsoft ecosystem. Your responsibilities will include designing and implementing data pipelines using Microsoft Fabric's Data Factory, Synapse Data Engineering, and OneLake components. You will also be expected to construct and manage lakehouse architectures utilizing Delta Lake, Parquet, and OneLake within Microsoft Fabric. Additionally, you will lead projects aiming to modernize legacy ETL/ELT processes to cloud-native data pipelines. Collaboration with Data Architects, BI Developers, and Analysts will be essential to deliver scalable data models for analytics and reporting purposes. Optimizing Power BI datasets and reports through effective data modeling and DAX practices will also be part of your role. Furthermore, you will implement data governance and security controls, incorporating tools like Microsoft Purview, role-based access, and lineage tracking. Working alongside cross-functional teams, you will contribute to cloud migration projects, particularly transitioning from on-premises SQL/Oracle/Hadoop platforms to Microsoft Azure & Fabric. Your expertise will be needed to evaluate and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions. The ideal candidate should hold a Bachelor's/Master's degree in Computer Science, Information Systems, or a related field, along with a minimum of 8 years of experience in data engineering. Proficiency in Microsoft Fabric components such as Data Factory, Lakehouse/OneLake, Synapse Data Engineering, and Power BI is crucial. Experience with data modeling, performance tuning in Power BI, modern data architecture patterns, and various languages like SQL, PySpark, T-SQL, DAX, and Power Query is required. Familiarity with Azure ecosystem tools and strong experience in CI/CD pipelines are also essential. Knowledge of data security, GDPR, HIPAA, and enterprise data governance is preferred. Preferred qualifications include Microsoft certifications like Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate (DP-203), experience with DataOps and Agile delivery methods, and knowledge of Machine Learning/AI integration with Fabric. Hands-on experience with Notebooks in Microsoft Fabric using Python or Scala would be a plus. In addition to technical skills, the ideal candidate should possess strong analytical and problem-solving abilities, excellent communication, and stakeholder management skills. The ability to lead projects, mentor junior engineers, and collaborate effectively with cross-functional teams are also valued traits.,

The Data and AI Governance Leader will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Your participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures, and technical controls to ensure effective, ethical, and legal use of Data & AI technologies. This leadership position is critical in providing strategic and thought leadership across the company's policies, standards, and procedures related to Data preparation, Data management, Model development, Evaluation, Deployment, Monitoring, and Corrections. You will work closely with legal, ethical, security, branding, IS, and administrative teams, acting as a bridge between policy defining teams and execution teams to define compliance frameworks, risk assessment frameworks, and foster collaboration to implement repeatable, consistent, and efficient practices. You will also facilitate data literacy and training about key information assets across the organization. It is expected that you have a deep industry understanding and expert practitioner experience with governance, including successfully running executive-level governance councils. You will be accountable for strengthening Data and AI governance capabilities in the region to cater to Providence and other partnering health systems. You will provide thought leadership in the development and implementation of data and AI governance strategies aligned with the company's vision and goals. Staying current on existing and evolving Data & AI governance laws and regulations to revise existing policies and procedures and drive alignment with the Organization's Governing Principles will be a key responsibility. Collaborating with compliance, legal, cyber, and other cross-functional teams as needed to ensure Data and AI initiatives comply with relevant laws and regulations is essential. Establishing technical guidelines and frameworks for the development, deployment, and operations teams to assess and manage AI risks will also be part of your duties. Additionally, you will collaborate with executive leadership to define and prioritize governance initiatives and act as a liaison between technology teams and legal, ethical, security, branding, IS, and administrative teams to ensure alignment and effective communication. Your role will involve collaborating with stakeholders from different pillars to lead the setup and structuring of Data & AI governance framework for the Organization. Leading cross-disciplinary teams to ensure alignment and effective implementation of Data & AI governance policies and procedures, overseeing the implementation and maintenance of governance processes for data preparation, management, model development, evaluation, deployment, monitoring, and correction, ensuring the integrity, quality, and security of data and AI models across all stages, and working with the Business, Ethics, and Compliance teams to establish auditable controls and monitor compliance to governing principles are all part of your leadership responsibilities. You will also be responsible for establishing and maintaining clear lines of accountability to ensure compliance with governance standards, creating and maintaining auditable artifacts to document adherence to governance policies and procedures, identifying areas for improvement within the governance framework and driving initiatives to enhance efficiency and effectiveness, conducting risk assessments, identifying potential risks associated with AI usage, defining mitigations, establishing auditable controls, and being the face of Data and AI COE for internal and external audits. Developing training and educational programs that help embrace governance as a way of working will also be part of your duties. Translating company policies, standards, and procedures into actionable technical standards and guidelines, developing frameworks and tools to ensure adherence to governance policies throughout the data and AI lifecycle will also be among your responsibilities. Professional Experience / Qualifications: - Bachelors/ Masters in STEM / Healthcare areas of specialization. - 14+ Years of relevant industry experience. - 5+ Years of hands-on experience in the Data Governance and pillars areas like DQ, MDM, Data Annotation etc. - 3+ years of experience leading high-performing Data / AI Governance teams- hiring, building, and growing. - Strong knowledge of governance principles, privacy laws, and industry-specific regulations (e.g., GDPR, HIPAA, FCRA). - Proven track record of leading Data and AI governance processes in a highly regulated enterprise, preferably in the Healthcare sector. - Deep understanding and working experience of AI/ML, data management systems, regulatory frameworks, and ethical AI practices. - Experience working with cross-functional teams, including data science, engineering, legal, and compliance. - Deep technical understanding of AI systems, model lifecycle management, and associated risks. - Ability to navigate complex regulatory environments and provide pragmatic solutions to governance challenges. - Expertise in risk management frameworks, audit processes, and AI/ML validation techniques. - Any certifications related to Data Governance, AI Governance, Data Management will be good to have. - Knowledge of Healthcare Industry and Any Certifications in Healthcare will be good to have. This is an individual contributor role.,

As an experienced MDM Developer, you will be responsible for developing and configuring Informatica MDM on-premises solutions to meet business requirements. Your role will involve implementing MDM workflows, match rules, business rules, and data validations using Informatica tools. You will also design and develop data integration workflows to load and synchronize data with the MDM Hub, integrating it with external systems such as ERP, CRM, and data warehouses. In addition to this, you will be required to implement data quality rules and processes using Informatica Data Quality (IDQ) to ensure clean and consistent master data. Supporting data governance initiatives will be a key part of your responsibilities, which includes maintaining metadata, data lineage, and audit trails in the MDM system. Your role will also involve testing and validation activities, including unit, integration, and system testing to validate MDM configurations and workflows. You will support user acceptance testing (UAT) and ensure timely resolution of identified issues. Monitoring and maintaining the MDM environment to ensure optimal performance and uptime will be essential, along with troubleshooting and resolving MDM-related issues. Documentation and collaboration are crucial aspects of the role, requiring you to create and maintain technical documentation, collaborate with business analysts, data stewards, and stakeholders to understand and address data management needs. To be successful in this role, you should have at least 5 years of experience in MDM development, with a minimum of 3 years working with Informatica MDM on-premise. Proficiency in Informatica MDM components such as Hub Console, IDD, Match & Merge, and Hierarchy Manager is essential. Strong knowledge of Informatica Data Quality (IDQ), data profiling, SQL, PL/SQL, relational databases (e.g., Oracle, Teradata), data modeling, data integration, and ETL processes is required. Hands-on experience implementing MDM solutions for domains like Customer, Product, or Employee, and familiarity with integrating MDM systems with enterprise applications will be beneficial. In addition to technical expertise, you should possess strong analytical and problem-solving skills, the ability to work independently and collaboratively in a team environment, and good communication and documentation skills.,

We are looking for a strategic, hands-on, and visionary Tech Head - Data Products to take charge of leading the design, development, and delivery of data-driven products and platforms. In this role, you will be operating at the intersection of data engineering, product management, and business strategy, shaping our data product vision, overseeing technical execution, and steering business impact. Your responsibilities will include defining and steering the roadmap for data products in alignment with business objectives and user requirements. You will also be tasked with supervising the design and development of scalable data platforms and APIs. Collaboration across various departments such as engineering, product, analytics, marketing, and customer success will be essential to identify opportunities for data-driven innovation. Additionally, ensuring compliance with data privacy, security, and regulatory standards is crucial. Staying abreast of the latest data technologies, recommending tools and methodologies, and establishing KPIs to measure the success and adoption of data products are also key aspects of the role. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. With a minimum of 8 years of experience in data/tech roles, particularly within the geo-spatial industry, including at least 3 years in a leadership or product-focused position, you should possess proven expertise in building data platforms, pipelines, and APIs at scale. A solid understanding of cloud platforms (AWS, GCP, Azure), modern data/tech stacks (both backend & frontend), as well as proficiency in geospatial technologies (GIS, remote sensing, spatial databases) is required. Familiarity with geospatial platforms like Google Earth Engine, Esri, Mapbox, along with skills in data modeling, ETL processes, and data governance are essential. Experience in AI/ML-driven product integration would be advantageous. Excellent communication, stakeholder management, and strategic thinking skills are also expected. To apply for this position, please submit your resume to hr@sisirradar.com with the subject line "Tech Head - Data Products".,

You will be responsible for developing and implementing Reltio MDM solutions, which involves designing, building, and customizing configurations to meet specific business requirements. This also includes integrating data from various sources to ensure seamless data management. Your role will encompass designing and implementing data integration processes, including ETL workflows, to efficiently bring data into the Reltio platform. You will be expected to focus on data quality and governance by developing and enforcing data quality rules, implementing data validation and cleansing processes, and ensuring data integrity and compliance with governance policies. Collaboration with stakeholders such as business analysts, project managers, and other teams will be essential. You will need to understand requirements, translate them into technical solutions, and ensure successful project execution. Your technical expertise should include a deep understanding of Reltio MDM architecture, functionalities, and best practices. You must demonstrate problem-solving and analytical skills to identify and resolve technical issues, optimize workflows, and guarantee the performance and reliability of MDM solutions. Documentation and training are crucial aspects of the role. You will be expected to document technical specifications, processes, and procedures, as well as provide guidance and training to other team members. Keeping yourself updated with the latest trends and technologies in MDM and Reltio is essential for this position. Continuous learning and staying informed will enable you to contribute effectively to the team's success. Required Skills and Qualifications: - Extensive experience in Reltio MDM is a must. Proficiency in Reltio's architecture, functionalities, and best practices is crucial. - Data integration and ETL experience is necessary. Strong skills in designing and implementing data integration processes are required. - Data quality and data governance experience is vital. Knowledge of data quality principles, data validation, and governance policies is expected. - Understanding of data models and data relationships is essential. Ability to design and implement data models within Reltio is required. - Strong analytical and problem-solving skills are a must. Ability to troubleshoot technical issues and optimize workflows is essential. - Good communication and collaboration skills are necessary. Ability to work effectively with cross-functional teams is important. - Experience with other data management tools and technologies is a plus. Knowledge of other MDM platforms, data warehousing, or cloud technologies can be an asset.,

You will be joining our Data team as a System Analyst at one of the leading banks in Kolkata. Your primary responsibility will be to collaborate with stakeholders to gather requirements, define data transformation processes, and ensure that our data lake infrastructure supports the bank's analytical and reporting needs. To excel in this role, you must possess a strong understanding of the banking industry, data management, and the ability to translate business requirements into technical solutions within a data lake environment. Your key responsibilities will include collaborating with various business stakeholders to gather and prioritize data and reporting requirements, acting as a liaison between business and technical teams, identifying and mapping relevant data sources, defining data structures, ensuring data quality, defining data transformations, supporting ETL processes, integrating the data lake with other banking systems, contributing to data governance and compliance efforts, managing change, providing training to business users, and maintaining thorough documentation. To qualify for this role, you should possess a Bachelor's degree in Business Analytics, Computer Science, Finance, or a related field (Masters preferred) with 4-10 years of experience as a Business Analyst in banking or financial services. You should have a strong understanding of banking operations, financial products, industry regulations, experience with data querying languages such as SQL, familiarity with ETL processes, data integration, and transformation tools, experience using BI tools like Tableau, Power BI, or Qlik, excellent analytical and problem-solving skills, strong communication skills, and knowledge of data governance, data security, and compliance best practices. If you are interested in this position, please send your updated CV to soumyadip@peoplemint.in.,

Job Description Senior Manager / Manager Company: Aster DM Healthcare Role Overview We are looking for a highly skilled Senior Manager / Manager with a strong accounting background and proven experience in leveraging technology to drive efficiency experience , strong reconciliation expertise, and hands-on knowledge of tools such as Python, SQL, and Power Query. This role will play a critical part in ensuring accuracy, compliance, and process optimization within our finance and assurance functions. Key Responsibilities Lead and manage financial reconciliation processes, ensuring accuracy and compliance with internal and external requirements. Utilize Python, SQL, Power Query, and reconciliation tools to automate and streamline processes. Partner with cross-functional teams to support financial reporting, audits, and compliance requirements. Implement best practices in financial controls and data assurance. Mentor and guide team members, providing technical and functional expertise. Collaborate with stakeholders to resolve complex reconciliation and accounting issues. Contribute to continuous improvement by recommending and implementing technology-driven solutions. Required Qualifications 6–8 years of relevant experience , preferably with a Big 4 firm . Strong accounting and reconciliation background . Proficiency in Python, SQL, Power Query , and reconciliation tools. Excellent analytical and problem-solving skills. Strong communication and stakeholder management abilities. Preferred Qualifications Professional certifications such as CA / CPA / CMA . Experience in data assurance and automation projects. Exposure to healthcare or similar industries will be an added advantage.

Job Description: This person will work with Insurance clients to gather data and analytics requirements and then help design and develop solutions to provide business insights and manage business performance. The person will be responsible for the gathering of requirements from customers, analysis of those requirements, and assisting in the implementation of our in-house insurance data platform. The person must have insurance products and process knowledge and experience. Roles & Responsibilities: Lead requirements gathering and data mapping for data integration between data sources and our insurance data solution by analyzing, soliciting, and formalizing requirements. Create business requirements documents from which solutions will be designed. Help design new solutions by analyzing and interpreting clients' requirements. Create data mappings between source and target systems, including business and transformation rules. Lead requirements gathering for reports, dashboards, and advanced analytics by analyzing, soliciting, and formalizing requirements. Responsible for developing and maintaining KPIs, reports, & dashboard designs. Lead quality assurance activities to ensure the solution meets business requirements. Lead/facilitate client meetings. Identify and help resolve complex issues and problems and engage higher-level staff on risks and issues. Acts as subject matter expert on insurance products and process to other team members. Minimum Qualifications/Experience/Attributes: Must have 5+ Years of P&C Insurance domain experience (USA market preferred). Must have 10+ years of data, reporting and analytics requirements gathering experience, with a heavy emphasis on data integration, reporting and analytics . Strong hands on SQL skills. Strong experience/exposure to one or more of Microsoft, Oracle, Amazon, Google, data reporting and management tools a plus. Azure strongly preferred. 3 years of data profiling and data cleansing a plus. Comprehensive knowledge of P&C insurance products and processes. Demonstrated ability to liaise closely with business and IT leadership to establish, defend, and persuade implementing recommended solutions. Strong communication, organizational, interpersonal and time management skills. Ability to work independently with minimal direction and the ability to deal with a dynamic environment. Experience leading others through the full development life cycle. The person in this role will be a critical member of our team and must want to be part of building solutions that are game changers for our clients!

Must have worked on Collibra Data Governance implementation/support project. Must have good knowledge of Collibra. Understand the functional and technical requirements. Map the business and technical requirements to Collibra Functionalities Identify Key data attributes and define data quality rules around them in accordance with client requirements. Configure Collibra DGC based the technical and functional requirements pertaining to Business Glossary / data taxonomy, data ownership and workflows. Fix SIT and UAT bugs Establish the integration with interfacing systems through the Collibra connectors available in Collibra connect models Should have knowledge to create custom adapters to integrate Collibra with other products like Service now, HP ALM Support Production deployment and Warranty support phases

Greetings!!! Role : Data Governance & Quality Engineer with MDM, GCP Location- Bangalore (3 days work from office) Exp Range- 8+ Yrs Notice Period- Immediate Joiners only. Duration- 6 months Contract Mandatory Skills - Hands-on experience with: Informatica Data Quality (IDQ) or Axon/EDC Unity Catalog (Databricks) configuring access control, lineage, metadata DBT – defining validation rules in transformation layer BigQuery and Databricks – integrating quality checks or observability Strong understanding of data stewardship principles, metadata management, and data lifecycle policies. Experience building data quality dashboards, alerts, and monitoring rules. Familiarity with data catalogs, business glossaries, and data domain modeling. -Refer and earn Rs.50,000/- -Check global opportunity at IITJOBS If you are interested , please share your resume to prachi@iitjobs.com

Join us as a Technical Specialist Practitioner at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Technical Specialist Practitioner you should have experience with proficiency in Tableau, including creating dashboards, reports, and visual analytics. Additionally, possessing SQL knowledge to write and optimize queries for data extraction and manipulation. Understanding of data warehousing concepts such as data quality management, data analysis, data blending, and integration from multiple sources within Tableau is crucial. Other highly valued skills may include knowledge of records and data governance, excellent communication skills for presenting data findings effectively to stakeholders, and familiarity with project management practices including agile methodologies. This role is based in Pune. Purpose of the role: To build and maintain infrastructure platforms and products that support applications and data systems using hardware, software, networks, and cloud computing platforms to ensure reliability, scalability, and security. Ensure the reliability, availability, and scalability of systems, platforms, and technology through software engineering techniques, automation, and incident response best practices. Accountabilities include: Build Engineering: Developing, delivering, and maintaining high-quality infrastructure solutions to meet business requirements. Incident Management: Monitoring IT infrastructure and system performance to identify and resolve potential issues. Automation: Implementing automated tasks and processes to improve efficiency. Security: Implementing secure configurations and measures to protect infrastructure against cyber threats. Teamwork: Collaborating with product managers, architects, and engineers to align IT infrastructure with business objectives. Learning: Staying informed of industry trends and contributing to the organization's technology communities. As an Assistant Vice President, you are expected to advise decision-making, contribute to policy development, and lead a team in delivering impactful work. People Leaders are required to demonstrate leadership behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others. For individual contributors, leading collaborative assignments, guiding team members, and identifying new directions for projects are key responsibilities. Consult on complex issues, identify ways to mitigate risks, and engage in complex data analysis from multiple sources. All colleagues are expected to demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. Additionally, showcasing the Barclays Mindset to Empower, Challenge, and Drive in all aspects of work.,

You will be responsible for designing, building, and maintaining scalable data pipelines using AWS services. Your role will involve integrating diverse data sources to ensure data consistency and reliability. Collaboration with data scientists and stakeholders to understand data requirements will be essential. Implementing data security measures and maintaining data integrity will be crucial aspects of your job. Monitoring and troubleshooting data pipelines to ensure optimal performance will also be part of your responsibilities. Additionally, you will be expected to optimize and maintain data warehouse and data lake architectures while creating and maintaining comprehensive documentation for data engineering processes. To qualify for this role, you must hold a Bachelor's degree in computer science, Information Technology, or a related field. Proven experience as a Data Engineer with a focus on AWS is required. A strong understanding of data modelling, ETL processes, and data warehousing is essential. Experience with SQL and NoSQL databases is necessary, along with familiarity with data governance and data security best practices. Proficiency in AWS services such as Redshift, S3, RDS, Glue, Lambda, and API Gateway is expected. Experience with data pipeline orchestration tools like Apache Airflow and proficiency in programming languages such as Python or Java will be advantageous.,

As a Senior Data Engineer with Adobe experience at Zendesk Marketing, you will play a crucial role in our Enterprise Data & Analytics (EDA) team by supporting the curation engineering team. Your primary responsibility will be to enable the Zendesk Marketing organization to utilize data and marketing tools effectively for engaging with customers. Working in an Agile environment, you will be involved in all aspects of the software development lifecycle, following the latest engineering best practices. Your key tasks will involve crafting and developing curated data products, implementing standard architectural and data modeling practices to maintain the foundational data layer serving as a single source of truth across Zendesk. Your focus will primarily be on developing Data Solutions in Adobe AEP Real-Time CDP. On a daily basis, you will collaborate with team members and business partners to gather business requirements, define successful analytics outcomes, and design data models. You will act as a subject matter expert on data models and the Adobe Experience Platform Real-Time CDP, providing deep domain expertise in digital marketing, the Adobe technology stack, and data infrastructure. Your role will also include strategizing, architecting, and documenting a scalable RTCDP implementation tailored to business needs, leading technical delivery, and guiding Data Engineers. You will support the implementation of proper data governance and optimize CDP processes for enhanced efficiency. With your background of over 5 years in software development and high-volume enterprise systems, you will bring hands-on experience in configuring Adobe Experience Platform RTCDP, working with Adobe Tags and AEP WebSDK, and understanding customer data platforms and modern data infrastructure. Your expertise in data engineering, data modeling, writing complex SQL queries, and building data pipelines will be essential for this role. Preferred qualifications include extensive experience with Adobe AEP RTCDP, familiarity with marketing automation tools, and integration with 3rd party API SaaS applications. A good knowledge of modern and classic Data Modeling approaches and demonstrated experience in various business domains will be advantageous. In this hybrid role, you will have the opportunity to work onsite for part of the week at our local office in Karnataka or Maharashtra, providing a rich experience of connection, collaboration, learning, and celebration while also offering flexibility for remote work. Join Zendesk, the Intelligent Heart of Customer Experience, where our software aims to bring calm to the world of customer service, powering conversations with beloved brands.,

As an Insights and MI Tools Senior Manager at Standard Chartered, you will play a crucial role in the Global Talent Acquisition team by spearheading the design and implementation of advanced reporting solutions using tools like Tableau, PowerBI, and Data Iku. Your expertise in Business Intelligence, familiarity with the SuccessFactors recruiting module (RCM), and comprehensive understanding of Talent Acquisition practices will be pivotal in shaping the future of our reporting capabilities. Your responsibilities will include leading the development and validation of reporting solutions across all Talent Acquisition systems, devising ETL strategies for both system-generated and non-system generated data, and providing guidance to colleagues and stakeholders on hiring trends and challenges. By generating actionable insights, automating insights generation, and ensuring compliance with data governance and GDPR restrictions, you will drive efficiency and effectiveness in recruitment processes while supporting your team in maximizing the potential of reporting solutions. To excel in this role, you should possess strong technical skills in Business Intelligence tools, hands-on experience with HR systems like SuccessFactors, proficiency in MS Excel for reporting and ETL solutions, and a proven track record of designing and implementing reporting systems. Your ability to collaborate with cross-functional teams, communicate effectively, and adhere to ethical conduct and regulatory standards will be essential in driving continuous improvement in Talent Acquisition processes. Join us at Standard Chartered and be part of a dynamic team that values ethics, compliance, and innovation in Talent Acquisition. Apply now to leverage your skills and make a meaningful impact in a global banking environment where diversity and inclusion are celebrated, and opportunities for growth and development abound.,

As a Data Architect with 5-10 years of experience, you will be a key member of our team responsible for designing and implementing scalable data architectures for enterprise applications. Your role will involve developing and maintaining conceptual, logical, and physical data models, defining data governance policies, and ensuring data integrity and security. Collaboration with stakeholders to identify data requirements and translate them into architectural solutions is a crucial aspect of this position. Your responsibilities will include leading the evaluation and selection of database technologies and tools, overseeing data integration, data warehousing, and ETL/ELT processes, as well as optimizing database performance and managing data storage solutions. It will be essential for you to ensure alignment of data architecture with business and technology strategies to support the organization's goals effectively. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Additionally, you must have a strong background in relational databases such as SQL Server, as well as expertise in data warehousing, ETL tools (e.g., Informatica, Talend), and big data platforms (e.g., Hadoop, Spark). A solid understanding of data governance, security, and compliance standards is essential, and experience with cloud data platforms like AWS Redshift, Azure Synapse, or Google BigQuery would be advantageous. Communication and stakeholder management skills are also key requirements for this position. While not mandatory, certifications such as AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, and Microsoft Certified: Azure Data Engineer Associate would be considered a plus. Join our team and play a critical role in shaping our data infrastructure to ensure scalability, performance, and security across our data platforms.,

You are seeking a highly experienced Data Analytics & Power BI Specialist with more than 10 years of expertise in data visualization, business intelligence, and data analysis. In this critical position, you will be expected to possess a profound knowledge of developing advanced Power BI dashboards and reports, a strong grasp of data modeling, and exceptional analytical skills. Your primary responsibility as a Senior Power BI Specialist will involve collaborating closely with stakeholders across the organization to offer insights, facilitate data-driven decisions, and support strategic initiatives. You will play a pivotal role within the analytics team, focusing on designing, implementing, and optimizing Power BI solutions to align with the evolving business requirements. Your main responsibilities will include: - Designing, architecting, and developing analytics solutions and visualizations that effectively communicate intricate data insights. - Working in conjunction with business stakeholders to gather requirements, translate business needs into Power BI solutions, and guide data-driven decision-making. - Constructing and enhancing complex data models within Power BI, utilizing DAX and Power Query for implementing calculations, KPIs, and advanced metrics. - Performing data analysis and interpreting trends to identify key insights and strategic recommendations. - Ensuring data accuracy, consistency, and integrity through rigorous testing, data validation, and quality checks. - Developing custom visuals and enhancing dashboard interactivity to meet unique business requirements and enhance user experience. - Mentoring and training junior team members on Power BI best practices, DAX, data modeling, and visualization techniques. - Remaining updated on Power BI capabilities, new features, custom visuals, and updates to enhance performance and functionality. - Collaborating closely with data engineering and IT teams to ensure efficient data integration, scalability, and performance of the BI environment. Qualifications required for this role: - Bachelor's degree in Data Science, Information Systems, Computer Science, Business Analytics, or a related field. - Minimum of 8 years of experience in business intelligence, data analytics, or a related role, with a focus on Power BI for at least 5-6 years. - Proficiency in Power BI, including DAX, Power Query, data modeling, and custom visual creation. - Strong SQL skills and experience with data extraction, transformation, and loading (ETL) processes. - Demonstrated ability in designing complex Power BI solutions that drive insights and support business decisions. - Excellent analytical and problem-solving abilities with a detail-oriented approach to ensure data quality and accuracy. - Familiarity with data warehousing concepts, data governance, and best practices in data management. - Effective communication and presentation skills to translate technical insights into actionable business recommendations. - Knowledge of cloud-based BI environments (e.g., Azure, AWS) and other visualization tools (e.g., Tableau, Qlik) is advantageous. - Demonstrated leadership skills with experience in mentoring and guiding junior team members.,

As a Campaign Operator specialized in Salesforce Marketing Cloud, you will play a crucial role in transforming Martech stack operations, establishing innovative practices, and expanding operations to diverse markets. Your responsibilities will include designing, configuring, and implementing Marketing Automation studio solutions utilizing the Salesforce Marketing Cloud (SFMC) Platform, encompassing email campaigns, Journey Builder, Cloud Pages, SMS, and push notification campaigns. Your expertise in data modelling, integration architectures, and data governance processes will be pivotal in collaborating with team members to ensure seamless campaign execution from initial requirements to configuration and distribution. Working closely with IT teams, you will integrate data from various sources, ensuring data quality and accuracy through cleaning, transforming, and standardizing data as necessary. An essential aspect of your role will involve building solutions in collaboration with the IT team, utilizing out-of-the-box features and modules in Salesforce Data/Marketing Cloud while customizing them to meet specific requirements. Proficiency in Salesforce connectors, Code languages (such as Apex and JavaScript), knowledge of JSON data structure, SQL, and SOQL will enable you to optimize business processes with a focus on data integration architecture. Your experience of over 3 years in marketing automation, including 1-2 years with SFMC, coupled with excellent business acuity and communication skills, will be invaluable in driving customer-centric campaigns and enhancing customer experience. Additionally, your familiarity with AMP scripts in journey builder or profile segmentation, along with the ability to engage with customers to suggest optimization strategies, will contribute significantly to the technical architecture and solution design specific to Data Cloud and Marketing Cloud. As part of the AstraZeneca team, you will have the opportunity to work in a dynamic and innovative environment that combines cutting-edge science with digital technology platforms. By embracing new technologies and processes, you will have the chance to redefine roles, work processes, and contribute to cross-company change within the industry. If you are ready to make a difference and be part of a team that is dedicated to developing life-changing medicines, we encourage you to apply now and join us in our unique and daring world.,

The Informatica Axon Analyst is a key player in ensuring effective management of data governance and data management initiatives within the organization. Acting as a liaison between IT and business stakeholders, you will align metadata requirements with overall business strategies. Your responsibilities will include administering and optimizing the Informatica Axon platform to classify, manage, and govern data appropriately. Your expertise in data governance principles and technical skills will be crucial in maintaining data quality and integrity and promoting a data-driven decision-making culture. Defining and implementing data stewardship processes to ensure compliance with regulations and policies will also be part of your role. By utilizing your analytical and problem-solving abilities, you will contribute to enhancing the organization's data system and operational excellence. You will be tasked with various responsibilities, including administering and maintaining the Informatica Axon platform, collaborating with cross-functional teams to establish data stewardship roles, gathering and analyzing business requirements, creating and managing data dictionaries, glossaries, and taxonomies, monitoring data quality metrics, designing and implementing data governance frameworks, conducting training sessions, facilitating workshops, developing continuous improvement processes, ensuring compliance with industry standards and regulations, assisting in data mapping and lineage initiatives, generating reports and dashboards, supporting data integration projects, identifying automation opportunities, actively participating in data governance council meetings, and serving as the primary contact for Axon-related inquiries and troubleshooting. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Technology, or a related field, along with a minimum of 3 years of experience in data governance or data management roles. Strong proficiency in working with the Informatica Axon platform, data governance frameworks, SQL, data modeling concepts, and data visualization tools is required. Excellent analytical, problem-solving, communication, and interpersonal skills are essential. Project management experience and certifications in data management or data governance are preferred. Proficiency in metadata management, data lineage concepts, handling multiple projects, knowledge of data privacy and compliance regulations, attention to detail, quality assurance mindset, and a willingness to stay updated with evolving data governance tools and techniques are also necessary for success in this role.,

Qualifacts is a leading provider of behavioral health software and SaaS solutions for clinical productivity, compliance and state reporting, billing, and business intelligence. Our mission is to be an innovative and trusted technology and end-to-end solutions partner, enabling exceptional outcomes for our customers and those they serve. With a comprehensive portfolio that includes the CareLogic, Credible, and InSync platforms, we serve the entire behavioral health, rehabilitative, and human services market supporting non-profit Certified Community Behavioral Health Clinics (CCBHC) as well as for-profit large enterprise and small business providers. We take pride in our loyal customer base, with more than 2,500 customers representing 75,000 providers serving over 6 million patients. Qualifacts has been recognized in the 2022 and 2023 Best in KLAS: Software and Services report for having the top-ranked Behavioral Health EHR solutions. If you are seeking to work in an environment where innovation is purposeful, and your ambition aligns with supporting our customers and those they serve, we invite you to apply today! This is an onsite position, requiring presence in the Vadodara office for 5 days a week, working during the NIGHT SHIFT from 6:30pm to 3:30am IST. Please note that remote applicants will not be considered for this role. The primary responsibility of the Salesforce System Administrator at Qualifacts is to enhance and improve our Salesforce platform by gathering requirements and feedback, designing best practice solutions, and managing the roadmap. This role involves optimizing existing tools, planning the roadmap, and overseeing the operational support, maintenance, and enhancements of Salesforce and associated integrated applications. Responsibilities of the Salesforce System Administrator: - Engage in the internal customer/user request intake process, document stakeholder requirements, and collaborate with Enterprise Technology leadership to design and deliver solutions - Identify and leverage un-used or under-utilized features and add-ons to maximize platform value - Communicate platform changes effectively to end users and stakeholders - Enhance Salesforce data quality through data management, implementing rules, and automation as needed - Assist in proactive system maintenance, including Security Reviews, Release Updates, Health Checks, and Optimizer - Ensure all system changes align with business requirements and provide proper documentation for education and compliance - Follow change management/governance methodology to ensure timely delivery - Contribute to systems documentation and technical maps - Review, maintain, and enhance all current security settings to ensure customer protection - Support QA and UAT activities for the deployment of new functionality - Address user support tickets related to the platform - Monitor and enhance user adoption - Assist in new user and ongoing user training - Participate in Scrum ceremonies - Manage all aspects of user and license management, including new user setup/deactivation, roles, profiles, permissions, public groups, OWD, and sharing rules - Perform Salesforce configuration changes, such as flows, assignment rules, approval processes, fields, page layouts, record types, dashboards, and reports Qualifications of the Salesforce System Administrator: - Bachelor's degree in a related field; experience may substitute for a degree - Certified Salesforce Administrator - 3+ years of Salesforce Administration experience - 1+ years of hands-on experience with Service Cloud and Experience Cloud (Communities) Knowledge, Skills, and Abilities of the Salesforce System Administrator: - Proficiency in building and administering complex Salesforce Flows and APEX code - Ability to utilize Microsoft Excel for data assessment, manipulation, and analysis - Experience with Sales Intelligence/Business Intelligence (BI) software like Tableau, Power BI - Direct involvement in creating and maintaining data governance frameworks, systems documentation, and technical maps - Proficient in troubleshooting and Root Cause Analysis for application issues - Strong critical thinking, decision-making, and complex problem-solving skills - Adaptability to change and ambiguity to drive work and projects forward - Effective communication skills, both written and verbal, with the ability to engage with all levels of the organization - Exceptional organizational skills, time management, and prioritization abilities - Capability to manage multiple concurrent projects independently and drive them to completion with minimal guidance - Meticulous attention to detail in all tasks and responsibilities,

As an experienced Manufacturing Data Modeler with expertise in Informatica Cloud Integration and Snowflake, you will be responsible for designing and implementing enterprise data models tailored for manufacturing operations. Your key responsibilities will include developing logical and physical data models optimized for manufacturing processes, designing and implementing data pipelines using Informatica Cloud Integration, defining data architecture strategies for Snowflake-based data lakes and warehouses, as well as optimizing data storage and retrieval processes to improve performance and scalability. In this role, you will collaborate closely with business analysts and stakeholders to translate requirements into effective data models. Additionally, you will be involved in implementing data lineage tracking, governance, and metadata management, conducting data profiling, standardization, and transformation for manufacturing datasets. To excel in this position, you must possess expertise in various areas including data modeling (conceptual, logical, and physical), ETL & Integration tools such as Informatica Cloud Integration, dbt, and Airflow, Cloud Data Platforms like Snowflake and AWS Redshift, as well as Manufacturing Data Domains including MES, SCADA, ERP, and IoT. Proficiency in SQL & Scripting with advanced SQL and Python, performance optimization techniques like query tuning, indexing, and materialized views, and knowledge of data governance principles such as GDPR and CCPA compliance will be essential for success in this role.,

We are seeking a Senior Data Architect with over 7 years of experience in the field, specifically in data architecture roles. As a Senior Data Architect, your responsibilities will involve designing and implementing scalable, secure, and cost-effective data architectures utilizing Google Cloud Platform (GCP). You will play a key role in leading the design and development of data pipelines using tools such as BigQuery, Dataflow, and Cloud Storage. Additionally, you will be responsible for architecting and implementing data lakes, data warehouses, and real-time data processing solutions on GCP. It will be your duty to ensure that the data architecture is aligned with business objectives, governance, and compliance requirements. Collaboration with stakeholders to define data strategy and roadmap will be essential. Moreover, you will design and deploy BigQuery solutions for optimized performance and cost efficiency, as well as build and maintain ETL/ELT pipelines for large-scale data processing. Utilizing Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration, you will implement best practices for data security, privacy, and compliance in cloud environments. Integration of machine learning workflows with data pipelines and analytics tools will also be within your scope of work. Your expertise will be crucial in defining data governance frameworks and managing data lineage. Furthermore, you will lead data modeling efforts to ensure consistency, accuracy, and performance across systems. Optimizing cloud infrastructure for scalability, performance, and reliability will enable you to mentor junior team members and guarantee adherence to architectural standards. Collaboration with DevOps teams for the implementation of Infrastructure as Code (Terraform, Cloud Deployment Manager) will be part of your responsibilities. Ensuring high availability and disaster recovery solutions are integrated into data systems, conducting technical reviews, audits, and performance tuning for data solutions, and designing multi-region and multi-cloud data architecture solutions will be essential tasks. Staying updated on emerging technologies and trends in data engineering and GCP will be crucial to driving innovation in data architecture, including recommending new tools and services on GCP. Preferred qualifications include a Google Cloud Certification, with primary skills encompassing 7+ years of data architecture experience, expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services, strong proficiency in SQL, Python, or other data processing languages, experience in cloud security, data governance, and compliance frameworks, strong problem-solving skills, and the ability to architect solutions for complex data environments. Leadership experience and excellent communication and collaboration skills are also highly valued. Role: Senior Data Architect Location: Trivandrum/Bangalore Close Date: 14-03-2025,