1361 Data Governance Jobs - Page 4

Hi all, We are hiring for the role SAP Archiving & ILM Specialist Experience: 6 - 9 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: SAP Archiving Expertise Archiving Strategy ILM Proficiency ILM Implementation Data Governance & Quality Stakeholder Collaboration Business & Communication Acumen SAP Experience: 6+ years of experience working with SAP systems , preferably with a focus on SAP archiving and ILM Technical Skills: • Strong understanding of SAP archiving concepts , including archiving classes, profiles, and retention periods • Experience with SAP ILM (Information Lifecycle Management) and its configuration • Familiarity with SAP data management, data governance, and data quality • Strong analytical and problem-solving skills Business Acumen: • Understanding of business requirements and data retention needs • Ability to communicate technical concepts to non-technical stakeholders If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

KRA's: - Lead privacy program implementation & audits - Conduct DPIAs/PIAs, RoPA maintenance, & data flow mapping - Manage vendor risk, DSR, consent, and privacy training - Ensure compliance with GDPR, ISO 27001/27701, DPDPA, PDPA Required Candidate profile Ideal Candidate: - 4+ years in data privacy/GRC roles - Strong understanding of privacy regulations & controls - Knowledge of ISO 27001/27701, GDPR, and DPDPA - Available to join within 15–30 days

Skills Spanish Speaking Experience 6+ Years Location PAN INDIA Job type Contract to Hire Work Model Hybrid "Must know Spanish language spoken, written and Reading. An Engagement Manager with a focus on Master Data Management (MDM) typically has a multifaceted role that combines client relationship management, project leadership, and data governance. Heres a brief overview of the key responsibilities and skills required for this position Responsibilities Client Relationship Management o Develop and maintain strong relationships with key client stakeholders. o Act as the primary point of contact for clients, ensuring their needs are met and expectations managed. Project Leadership o Lead project teams to deliver MDM solutions, ensuring projects are completed on time, within budget, and to the clients satisfaction. o Define project scope, requirements, and deliverables in collaboration with internal teams. o Establish and manage project timelines and plans, ensuring milestones are met. Data Governance o Oversee the implementation of MDM strategies and solutions. o Ensure data quality, consistency, and compliance with relevant standards and regulations. o Manage data integration, migration, and maintenance processes. Risk Management o Identify potential project risks and develop mitigation strategies. o Resolve any issues or problems faced by clients, maintaining trust and satisfaction. Reporting and Analysis o Prepare and present reports on project performance and data metrics to stakeholders. o Analyze engagement metrics and provide insights for continuous improvement. Skills and Qualifications Technical Skills o Proficiency in MDM tools and technologies. o Strong understanding of data management principles and practices. Project Management o Proven experience in leading and managing projects. o Excellent organizational and multitasking abilities. Communication o Strong verbal and written communication skills. o Ability to effectively communicate complex technical concepts to non-technical stakeholders. Problem-Solving o Sharp business acumen and problem-solving aptitude.

Key Responsibilities 1. Governance Strategy & Stakeholder EnablementDefine and drive enterprise-level data governance frameworks and policies.Align governance objectives with compliance, analytics, and business priorities.Work with IT, Legal, Compliance, and Business teams to drive adoption.Conduct training, workshops, and change management programs. 2. Microsoft Purview Implementation & AdministrationAdminister Microsoft Purview: accounts, collections, RBAC, and scanning policies.Design scalable governance architecture for large-scale data environments (50TB).Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, and Snowflake. 3. Metadata & Data Lineage ManagementDesign metadata repositories and workflows.Ingest technical/business metadata via ADF, REST APIs, PowerShell, Logic Apps.Validate end-to-end lineage (ADF Synapse Power BI), impact analysis, and remediation. 4. Data Classification & SecurityImplement and govern sensitivity labels (PII, PCI, PHI) and classification policies.Integrate with Microsoft Information Protection (MIP), DLP, Insider Risk, and Compliance Manager.Enforce lifecycle policies, records management, and information barriers. Working knowledge of GDPR, HIPAA, SOX, CCPA. Strong communication and leadership to bridge technical and business governance.

Role & responsibilities Subject Matter Expertise required in more than one of the following areas- Data Management, Data Governance, Data Quality Measurement and Reporting, Data Quality Issues Management . Liaise with IWPB markets and stakeholders to coordinate delivery of organizational DQ Governance objectives, and provide consultative support to facilitate progress Conduct analysis of IWPB DQ portfolio to identify thematic trends and insights, to effectively advise stakeholders in managing their respective domains Proficiency in MI reporting and visualization is strongly preferred Proficiency in Change and Project Management is strongly preferred. Ability to prepare programme update materials and present for senior stakeholders, with prompt response any issues / escalations Strong communications and Stakeholder Management skills: Should be able to work effectively and maintain strong working relationships as an integral part of a larger team Preferred candidate profile

Implement and manage Informatica Data Quality (IDQ) solutions to ensure the accuracy, completeness, and reliability of data. Design data profiling, cleansing, and validation processes to maintain high-quality data across systems.

Focuses on the implementation and optimization of SAP MDG solutions for effective data governance. Responsibilities include data modeling, master data management, and ensuring data consistency across the organization. The role requires experience in SAP MDG architecture, integration with other SAP modules, and data validation processes.

Design and develop advanced Tableau dashboards for business intelligence and analytics. Optimize data visualization and reporting using Tableau Desktop and Server. Work with large datasets and implement data governance best practices.

Lead data governance initiatives using Collibra. Manage data policies, procedures, and standards across the organization. Ensure data quality, compliance, and accessibility. Collaborate with data stewards and business units to define data ownership and accountability. Provide training on data governance tools and principles, and support the implementation of Collibra across business units.

Implement and manage Collibra’s data governance platform, ensuring the proper classification, access, and compliance of data across the organization. Provide support and training to users.

Position Overview We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have expertise in Data Architecture, Data Modeling, Data Governance, PySpark, and Databricks to support our data-driven initiatives. You will collaborate with data scientists, analysts, and business teams to ensure high-quality, reliable, and secure data solutions. Key Responsibilities Design and implement scalable data pipelines for batch and real-time processing. Develop and maintain data models to support analytics and business intelligence. Ensure data governance best practices, including data quality, lineage, and compliance. Optimize and manage Databricks environments for efficient data processing. Write and optimize PySpark jobs for large-scale data transformations. Collaborate with stakeholders to define data architecture standards and best practices. Automate data workflows and improve ETL/ELT processes. Troubleshoot and resolve data-related issues in production environments. Required Skills & Qualifications Must-Have: Strong experience in Data Architecture and Data Modeling (relational, dimensional, NoSQL). Hands-on experience with PySpark for big data processing. Proficiency in Azure Databricks (or Databricks on other clouds). Knowledge of Data Governance frameworks (metadata management, data lineage, security). Expertise in SQL and experience with cloud data platforms (Azure, AWS, or GCP). Familiarity with ETL/ELT tools and workflow orchestration (e.g., Airflow, Azure Data Factory). Nice-to-Have: Experience with Delta Lake, Snowflake, or Synapse . Knowledge of CI/CD pipelines for data engineering. Understanding of machine learning data pipelines . Certifications in Databricks, Azure Data Engineer, or AWS Big Data .

Role Overview As a Data Governance Developer at Kanerika, you will be responsible for developing and managing robust metadata, lineage, and compliance frameworks using Microsoft Purview and other leading tools. Youll work closely with engineering and business teams to ensure data integrity, regulatory compliance, and operational transparency. Key Responsibilities Set up and manage Microsoft Purview: accounts, collections, RBAC, and policies. Integrate Purview with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule & monitor metadata scanning, classification, and lineage tracking jobs. Build ingestion workflows for technical, business, and operational metadata. Tag, enrich, and organize assets with glossary terms and metadata. Automate lineage, glossary, and scanning processes via REST APIs, PowerShell, ADF, and Logic Apps. Design and enforce classification rules for PII, PCI, PHI. Collaborate with domain owners for glossary and metadata quality governance. Generate compliance dashboards and lineage maps in Power BI. Tools & Technologies Governance Platforms: Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog Integration Tools: Azure Data Factory, dbt, Talend Automation & Scripting: PowerShell, Azure Functions, Logic Apps, REST APIs Compliance Areas in Purview: Sensitivity Labels, Policy Management, Auto-labeling Data Loss Prevention (DLP), Insider Risk Mgmt, Records Management Compliance Manager, Lifecycle Mgmt, eDiscovery, Audit DSPM, Information Barriers, Unified Catalog Required Qualifications 4-6 years of experience in Data Governance / Data Management. Hands-on with Microsoft Purview, especially lineage and classification workflows. Strong understanding of metadata management, glossary governance, and data classification. Familiarity with Azure Data Factory, dbt, Talend. Working knowledge of data compliance regulations: GDPR, CCPA, SOX, HIPAA. Strong communication skills to collaborate across technical and non-technical teams. Email your profile to: navaneetha@suzva.com Contact: +91 90329 56160

The opportunity Were looking for Associate Director – Data & AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data & AI strategy that aligns with the overall business strategy and objectives. Skills- Data Engineering, Data Strategy & Governance with Go -to- Market. Skills and attributes for success 15-17 years of total experience with 10+ years in Data Strategy and architecture field 15-17 years of total experience with 7+ years in AI Strategy & implementation. Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis 7+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 7+ years hands-on experience in various Azure services preferred Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients . To qualify for the role, you must have Masters Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team. Ideally, youll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in ensuring the smooth functioning of the applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and implement SAP Master Data Governance MDG Tool solutions.- Collaborate with cross-functional teams to gather and understand business requirements.- Perform system testing and debugging to ensure the quality of applications.- Provide technical support and guidance to end-users.- Stay updated with the latest trends and technologies in application development. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool- Strong understanding of data governance principles- Experience in configuring and customizing SAP MDG Tool- Knowledge of SAP data models and structures- Hands-on experience in data migration and data quality management- ABAP hands on mandatory. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Develop predictive models to accurately forecast product demand and perform SKU segmentation based on sales velocity, margin, and seasonality. Maintain high data integrity standards, ensuring accurate inputs across multiple business units and systems Required Candidate profile Bachelor’s or Master’s degree in Data Science, Business Analytics, or Supply Chain Management. Advanced skills in Excel, SQL, and BI/visualisation tools (e.g., Power BI, Tableau) Oversee MIS platforms

About the Role: Grade Level (for internal use): 07 Youll be part of the Economic and Country Risk - OSINT team responsible for using hybrid machine-human sources to collect and enhance data about global security and political risks and using that to power a range of innovative predictive applications to better understand what is happening and changing in the world. Monitor and collect key political and global security events across assigned countries, ensuring comprehensive coverage of critical developments. Utilize licensed platforms and OSINT methodologies to systematically identify and extract relevant intelligence events on a global scale. Assess and verify the authenticity, credibility, and reliability of sources before integrating events into the intelligence database. Draft and publish well-structured, analytical intelligence summaries that accurately capture key event details. Ensure precise attribution of collected events, maintaining consistency in event categorization and metadata tagging. Conduct quality control checks on all collected information, identifying inconsistencies and ensuring adherence to data accuracy standards. Continuously identify and integrate new sources, with a focus on primary, region-specific, and high-reliability intelligence channels. Collaborate to contextualize terrorism data into wider security risk frameworks and client deliverables. Support research initiatives and provide analytical assistance for special projects as required by the business. Strictly adhere to standard operating procedures (SOPs) for data collection, categorization, and processing, ensuring compliance with organizational guidelines. Maintain and update documentation for assigned countries, ensuring accuracy and completeness in theintelligence collection plan. Support operations across flexible shifts, including on public holidays, any other S&P Global provided holidays, and on weekends (during emergency crises like protests/riots/or any other political violence in the assigned region/country) Education Degree in International Relations, Political Science, or a similar field Competencies Fluent in one or more - French, Spanish, Arabic, Russian, Mandarin, South East Asian language preferred, with excellent written and verbal communication skills. Broad knowledge of geopolitical affairs and global awareness of influences on business goals and strategies Excellent interpersonal skills and ability to work in acollaborative environment Excellent Computer and Analytical skills Excellent attention to detail Excellent command of the English Language (written and spoken) Knowledge and understanding of different cultures and regions Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Architecting and designing analytics platform solution for clients Identifying data sources and defining data pipeline, segmentation, and performance engineering for scale Managing team of Data Analyst/ Data Engineers assigning work and reviewing quality of deliverables. Experience in building business reports and dashboards with latest data warehousing and BI tools such as Snowflake/ Cognos/ Tableau/Superset/PowerBI Strong understanding of data modeling, data warehousing concepts and various analytical data models Familiarity with business domains such as healthcare Migration experience highly preferred Azure Cloud experience highly preferred Perform research with new technologies and third-party vendor technologies as required and prototyping Design, develop and implement analytics based on the discussions with the team. Programming skills in generic analytic platforms using Python/ Java/ Scala Skills & Experience: A minimum of 10+ years of experience with complex/large enterprise BI/ETL/Data Warehouse projects,Big Decisions Sales Analytics a.k.a. Redshift and Databricks Platform Experience in Designing and architecting Data and BI solutions related to one or more of the followingdata quality/data governance assessments, data strategy and roadmaps, integration scoping (requirements, design and mapping), Data warehouse and Data Lake design and implementation. Ability to perform Information Management assessments (review of needs, data quality, data security, etc.) and accurately estimate the implementation effort Awareness of emerging Data warehouse design approaches and the potential future impact to data warehouse architecture. Advanced knowledge in Data warehouse dimensional modelling. Hands on knowledge with at least one Key ETL Market tool like Informatica Power Center, Oracle Data Integrator, Microsoft SSIS etc. Hands-on knowledge with at least one Key BI Market tool (IBM Cognos, SAP BO, Oracle BI, Tableau, MS Power BI, QlickView, SSRS etc.) Hands-on knowledge of enterprise repository tools, data modelling tools, data mapping tools, and data profiling tools. (e.g. SAS, R etc.) Knowledge of latest market trends (Big Data, Blockchain, AI, Cloud, Mobile, etc.) Knowledge of master data management and exposure to MDM tools Strong communication, networking & interpersonal skills Strong business analysis, planning, monitoring, requirement management and related knowledge Experience with at least one of the Data Quality technologies (i.e. Informatica Master Data Management, SAS data management, Talend Data Quality) Solid experience in developing data governance practices at enterprise level - Meta data, data lineage, data classification, data security & data life cycle Experience with Normalized data store, Operational data store, Dimension data store & Enterprise Data lake Understanding of predictive and prescriptive modelling. Coordinate with the Data Science department to identify future needs and requirements Excellent interpersonal and teamwork skills Experience to drive solution/enterprise level architecture, collaborate with other tech leads Strong problem solving, troubleshooting and analysis skills Experience working in a geographically distributed team Experience with leading and mentorship of other team members Good knowledge of Agile Scrum Good communication skills

Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expertlevel SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelors in Computer Science, Engineering, Information Systems (Masters preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how.

Skills : Data Governance Preferred qualification: Should be from Support background, should have very good understanding of ITIL process and Service Now tool. Helpful to have sufficient SQL knowledge to be able to understand queries is must. Good knowledge of Unix commands Excellent communication Should be extremely proactive and works well in a collaborative environment. Knowledge on data analysis is a plus

SRE Lead Role Description: We are seeking an experienced SRE Strategist to lead the reliability and operational excellence agenda for our Enterprise Data Platforms spanning GCP cloud-native systems. This strategic leadership role will help instill Google’s SRE principles across diverse data engineering teams, uplift our platform reliability posture, and spearhead the creation of a Centre-of-Excellence (CoE) for SRE. The ideal candidate will possess a deep understanding of modern SRE practices, demonstrate a proven ability to scale SRE capabilities in large enterprises, and evangelise a data-driven approach to resilience engineering. Key Responsibilities: Define and drive SRE strategy for enterprise data platforms on GCP, aligning with business goals and reliability needs. Act as a trusted advisor to platform teams, embedding SRE mindset, best practices, and golden signals into their SDLC and operational processes. Set up and lead a Site Reliability Engineering CoE, delivering reusable tools, runbooks, blueprints, and platform accelerators to scale SRE adoption across the organisation. Partner with product and platform owners to prioritise and structure SRE backlogs, formulate roadmaps, and help teams move from reactive ops to proactive reliability engineering. Define and track SLIs, SLOs, and error budgets across critical data services, enabling data-driven decision making around availability and performance. Drive incident response maturity, including chaos engineering, incident retrospectives, and blameless postmortems. Foster a reliability culture through coaching, workshops, and cross-functional forums. Build strategic relationships across engineering, data governance, security, and architecture teams to ensure reliability is baked in, not bolted on. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related discipline. 3+ years in SRE leadership or SRE strategy roles. Strong familiarity with Google SRE principles and practical experience applying them in complex enterprise settings. Proven track record in establishing and scaling SRE teams. Experience with GCP services like Cloud Build, GCS, CloudSQL, Cloud Functions, and GCP logging & monitoring. Deep experience with observability stacks such as Prometheus, Grafana, Splunk, and GCP native solutions. Skilled in Infrastructure as Code using tools like Terraform, and working knowledge of automation in CI/CD environments. Key Competencies & Skills: Strong leadership, influence without authority, and mentoring capabilities. Hands-on scripting and automation skills in Python, with secondary languages like Go or Java a plus. Familiarity with incident and problem management frameworks in enterprise environments. Ability to define and execute a platform-wide reliability roadmap in alignment with architectural and business objectives. Nice to Have: Exposure to secrets management tools (e.g., HashiCorp Vault). Experience with tracing and APM tools like Google Cloud Trace or Honeycomb. Background in data governance, data pipelines, and security standards for data products.

Development of workflows and Connectors for the Collibra Platform Administration and configuration of Collibra Platform Duties: Collibra DGC Administration and Configuration Collibra Connect Administration and Configuration Collibra Development of Workflows and MuleSoft Connectors Ingesting metadata from any external sources into Collibra. Installation, upgrading and Administration Collibra Components Setup, support, deployment & migration of Collibra Components Implement Application changes: review and deploy code packages, perform post implementation verifications. Participate in group meetings (including business partners) for problem solving, decision making and implementation planning Senior Collibra Developer- Mandatory Skills MUST HAVE SKILLS: Collibra Connect Collibra DGC Java Advanced hands-on working knowledge of Unix/Linux Advanced hands on experience wit UNIX scripting SQL Server Groovy

We're Hiring: GIS Consultant Location: Vijayawada Experience: 5-10 Years | Type: Full-Time | Industry: GIS, Remote Sensing, Spatial Analytics Are you passionate about spatial data, remote sensing, and geospatial intelligence? Do you have experience integrating GIS with AI/ML and public data platforms? Join our growing team and be a part of transformative, data-driven projects. Role Overview We are looking for a GIS Consultant with strong technical skills and domain expertise to deliver impactful geospatial solutions across areas like urban planning, environmental monitoring, and AI integration. Key Responsibilities Develop GIS-based analytics and spatial data integration strategies Design interactive maps, geospatial dashboards, and predictive spatial models Integrate GIS solutions with AI and machine learning workflows Support data governance frameworks for geospatial data security and privacy Work on land use analysis, environmental monitoring, and urban planning projects Required Skills Proficiency in GIS tools: ArcGIS, QGIS, Google Earth Engine Expertise in spatial AI, remote sensing, and big data geospatial analytics Hands-on experience with geospatial databases: PostGIS, GeoServer, Spatial SQL Understanding of GIS policy frameworks, open data standards, and regulations Ability to integrate GIS with government or public data platforms Preferred Certifications Certified GIS Professional (GISP) Esri Technical Certification (ArcGIS) Certifications in Remote Sensing or Geospatial Data Science

: Job Title RDA&RR Independent Validation LocationMumbai, India Corporate TitleAVP Role Description This role sits within NFRM which works in conjunction with the Divisional Risk and Finance teams to operationalise / ensure adherence to the RDA&RR compliance framework, and to achieve compliance to BCBS 239. The RDA&RR Independent Validation Lead will review and provide independent validation / quality assurance over the measurement and monitoring activity in the Risk and Finance divisions (for their Key Risk Metrics and Key Risk Reports). The Basel Committee for Banking Supervision (BCBS) published a regulatory directive titled Principles for Effective Risk Data Aggregation and Risk Reporting in 2013, which DB and all other global systemically important banks (G-SIBs), must comply with. DB has defined a compliance framework that reinforces and strengthens practices in risk data aggregation and risk reporting - to improve the quality of information used for key risk decision-making, and ultimately to evidence compliance to the principles in BCBS 239 What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities We are seeking a risk professional to join our second-line risk function with a focus on BCBS 239 compliance and adherence. This role will be responsible for ensuring the banks data risk management, governance, and reporting frameworks align with BCBS 239 principles across Risk, Finance and Treasury divisions of the bank. The individual will work closely with first-line risk, data governance, compliance, and senior stakeholders to drive regulatory adherence and enhance risk data aggregation and reporting capabilities Assist the Independent Validation (IV) Manager in the delivery of the Independent Validation function mandate, against objectives. Provide Quality Assurance and Oversight on divisional adherence to RDARR framework Lead and manage divisional adherence to the RDA&RR Standards and Guidance. Validate gaps to RDARR framework are appropriately identified and co-ordinate with division and remediation manager Lead and manage the annual artefacts recertification across relevant divisions Support the IV Manager in performing the Group wide Self-Assessment including portal governance Contribute to the design and execution of policies, procedures, and control frameworks to strengthen risk data aggregation and reporting Support the development of risk reporting frameworks that improve accuracy, completeness, and timeliness of risk-related data Senior stakeholder engagements - Chair / active participation in meetings with divisional stakeholders/ risk committees and forums as required. Act as a key liaison with regulators, internal audit, and senior risk committees to demonstrate compliance with BCBS 239 requirements Your skills and experience Provide a maximum of 5 bullet points detailing relevant, essential qualifications/skills/experience/qualities University degree or equivalent professional experience. Experience7+ years in risk management, regulatory compliance, data governance, or related functions within financial services. Regulatory KnowledgeStrong understanding of BCBS 239 principles and their application in banking risk management. Experience in Quality Assurance over Risk Frameworks and Controls. Stakeholder ManagementAbility to engage with senior management, regulators, and cross-functional teams. Analytical Skills: Strong problem-solving and analytical skills to assess regulatory compliance and data risks. Technology & ToolsFamiliarity with data governance tools, risk reporting systems, and regulatory technology solutions How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Develop predictive models to accurately forecast product demand and perform SKU segmentation based on sales velocity, margin, and seasonality. Maintain high data integrity standards, ensuring accurate inputs across multiple business units and systems Required Candidate profile Bachelor’s or Master’s degree in Data Science, Business Analytics, or Supply Chain Management. Advanced skills in Excel, SQL, and BI/visualisation tools (e.g., Power BI, Tableau) Oversee MIS platforms

Location Gurgaon Timings 07 PM to 4.30 AM IST. Summary - This role is primarily responsible for setup and maintenance of different product class such as Term loans, Corp bonds, Asset backed securities ,Equities , Derivatives and structure products for US Market. The role also demands support to various process related project initiatives, Monthly MIS Reporting, stakeholder management, risk management, handling escalations, and addressing queries of Data Governance team. Working closely with Trade support Team for smooth flow of Transactions. Responsibilities: Fund Master Data Management: o Maintain and manage the fund master database, ensuring data integrity and accuracy. o Collaborate with investment teams to gather and validate fund-related data. o Implement processes for the onboarding and offboarding of funds. Data Quality ManagementExpertise in Data Quality processes and Reference Data Maintenance for Term Loans, Bonds, Equities, Derivatives, and Structured Products. Analytical ExcellenceConduct detailed analyses to ensure timely, accurate delivery within a compliant, "no error" framework. Application ProficiencyExperience with Reuters Eikon, Markit, Bloomberg, and familiarity with BlackRock Aladdin preferred. Corporate Structure KnowledgeUnderstanding of corporate structures and relationship between legal entities and parent issuers, and proficient in researching government registry database. Ratings Agency InsightKnowledge of ratings agencies and their relevance to financial products, especially Term Loans. Client InteractionCollaborate with clients and onshore teams to gather requirements and identify process improvements. Operational SupportAssist Middle and Back Office operations, ensuring efficient and accurate task completion. Qualifications: Bachelors degree in Finance. Proven experience in data governance, data management, or fund administration. Strong understanding of data quality principles and data governance frameworks. Familiarity with regulatory requirements in the financial services industry. Excellent analytical, problem-solving, and communication skills. Proficiency in data management tools and software (e.g., SQL, data visualization tools,Excel). Ability to work collaboratively in a team-oriented environment. Preferred Skills: Experience with fund accounting or investment management systems. Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed