4996 Data Governance Jobs - Page 48

You are looking for an experienced and skilled Technical Leader to join our AWS Data Engineering practice as an AWS Data Architect. In this role, you will be responsible for driving the Data Engineering strategy, architecting scalable data solutions, and leading the implementation of data projects on AWS. Your deep understanding of AWS services and data engineering best practices will be crucial for success. Your main responsibilities will include establishing and enhancing the company's Data Engineering Services Practice, working closely with senior stakeholders to understand business needs, and delivering technical solutions. This role is ideal for a technically proficient individual who thrives in a dynamic and fast-paced environment. As a Technical Leader, you will act as a visionary leader, conduct proof-of-concept projects, make informed architectural decisions, guide and mentor engineers, collaborate with sales and marketing teams, and design and implement various data solutions. You will also oversee project implementation, engage in strategic discussions with customers, ensure data quality and security, and drive technical innovation by staying updated with the latest trends and advancements in data engineering and AWS technologies. To be successful in this role, you should have a Bachelor's or Master's degree in Engineering or Technology, 15+ years of technical hands-on experience in the Data space, and at least 4 end-to-end implementations of large-scale data projects. Proficiency in AWS data services, AWS architecture, SQL, Python, data warehousing concepts, ETL/ELT processes, and data modeling is essential. Experience with data integration, data serialization formats, data pipelines optimization, and data governance frameworks is also required. Joining our team will provide you with the opportunity to work in a high-growth startup in the AI, Decision Science, and Big Data Domain, contribute to the digital transformation of our customers, and collaborate with a diverse group of techies. Flexible working options are available to foster productivity and work-life balance.,

You are a Senior Python Developer with a strong background in backend development and a passion for designing and implementing efficient algorithms. You will be responsible for developing, maintaining, and optimizing core backend systems and services, focusing on complex algorithms. Your role demands a deep understanding of Python, excellent problem-solving skills, and the ability to collaborate effectively in a fast-paced environment. Your tasks will include designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. You will closely work with data analysts and business teams to comprehend data requirements and provide data-driven solutions. Ideal candidates are enthusiastic about data, enjoy problem-solving, and excel in a collaborative setting. Experience in the financial or banking domain is beneficial. Your responsibilities will involve designing, developing, and maintaining scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka. You will perform efficient data extraction, transformation, and loading (ETL) for large datasets from various data sources, ensuring data quality. Building and managing RESTful APIs and microservices to facilitate seamless data access and transformation workflows will be part of your duties. You will create reusable components, libraries, and frameworks to automate data processing workflows, focusing on performance and efficiency. Applying statistical analysis techniques to extract trends, patterns, and actionable business insights from data is essential. Ensuring data accuracy and reliability by implementing thorough data quality checks and root cause analysis on data anomalies is crucial. Effective collaboration with data analysts, business stakeholders, and engineering teams to translate data requirements into technical solutions is imperative. Qualifications for this role include a Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. You should have 5+ years of experience in Python development, with a strong emphasis on data handling, processing, and analysis. Proficiency in building and maintaining RESTful APIs, working with microservices architectures, and managing data pipelines using APIs, ETL tools, and Kafka is required. Practical application of statistical analysis methods, hands-on experience with PySpark, strong SQL skills, and knowledge of data cleaning and preprocessing techniques are necessary. Understanding of data governance, security, compliance standards, and familiarity with basic machine learning concepts are advantages. Strong analytical, debugging, problem-solving, and communication skills are essential. You should be capable of working independently and collaboratively within a team environment. Preferred Skills: - Experience with CI/CD tools and Git-based version control. - Experience in the financial or banking domain.,

Salesforce Architect Overview We are seeking a strategic, hands-on Salesforce Architect to lead the evolution, scalability, and governance of our Salesforce environment. This role focuses on Service Cloud , AI-driven enhancements , client services and implementation workflows , and enabling self-service support and partner operations . The Salesforce Architect will work closely with the Salesforce admin team and cross-functional stakeholders to deliver scalable, sustainable solutions while managing system health , technical debt , and data governance . The ideal candidate brings strong development experience, deep understanding of business operations, and a passion for clean architecture, automation, and documentation. Experience with middleware tools (e.g., Informatica, Zapier), Customer Success Management (CSM) platforms , and consumption-based billing is highly desired. Key Responsibilities Client Success & Support Optimization Design and enforce structured case escalation workflows , including severity levels, auto-escalation rules, and SLAs. Implement and manage milestone tracking and entitlement processes to ensure timely support delivery across tiers. Monitor and analyze case handling time and escalation trends to improve response velocity and resource planning. Use AI and automation to flag cases at risk of escalation or SLA breach based on sentiment, history, or metadata. Enhance the Knowledge Base by improving structure, discoverability, and integration with case submission. Implement AI tools (e.g., Einstein, GPT search) to optimize case deflection and article surfacing during the support experience. Architecture & Systems Engineering Architect and deliver scalable, maintainable solutions in Service Cloud that support evolving business needs. Build robust tooling for services and implementation teams , including project tracking, onboarding workflows, and automation. Write, review, and optimize Apex , Lightning Web Components (LWC) , and Salesforce Flows . Architect and manage secure, scalable integrations using Informatica , Zapier , and Salesforce APIs for platforms like NetSuite, CSM systems, and billing platforms. Collaborate with the Salesforce admin team and Sr. Director of Revenue Operations to align platform architecture with long-term business goals while addressing technical debt. Governance, Documentation & Quality Assurance Lead initiatives for data governance , including field standardization, deduplication, and data integrity. Define and enforce best practices for naming conventions, validation rules, and documentation standards. Establish robust testing protocols , including UAT planning and regression testing. Maintain comprehensive, auditable technical documentation for all system logic, workflows, and integrations. Promote a documentation-first mindset across the Salesforce ecosystem. Strategic Operations & Enablement Support the operationalization of partner programs , including planning and readiness for a future Partner Portal. Design secure, scalable data models for partner engagement , lead sharing, and services visibility. Contribute to systems that support consumption-based billing workflows , integrating data from external systems when necessary. Collaborate cross-functionally to prioritize enhancements that align with broader revenue operations goals . Desired Skills & Experience Were looking for a candidate with deep Salesforce expertise and a strong operational mindset—comfortable designing technical architecture, managing governance, and enabling high-impact use cases across services, support, and partner operations. Required 6+ years of hands-on Salesforce experience with strong focus on Service Cloud architecture Experience supporting services and implementation workflows , case management , and support operations Proficiency in Apex , Lightning Web Components (LWC) , Salesforce Flows , and API-based integrations Experience designing and managing case escalation frameworks , including milestones and entitlement processes Experience using case time-tracking data to improve team efficiency and resource allocation Strong commitment to documentation , testing , and maintaining long-term system integrity Ability to translate technical concepts for non-technical stakeholders and influence cross-functional decisions Collaborative team player with experience working across admin, RevOps, and support teams Highly Desired Familiarity with Sales Cloud functionality and use cases Experience with middleware platforms (e.g., Informatica , Zapier ) Exposure to consumption billing models and usage-based pricing workflows Experience with Customer Success platforms such as Gainsight , Totango , or ChurnZero Integration experience with NetSuite Experience supporting or designing partner operations or preparing for partner portal implementations Salesforce certifications such as Service Cloud Consultant or Application Architect

About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Job Summary: We are seeking a highly skilled Data Governance Architect with strong expertise in defining and lead enterprise-wide Data governance strategies, design, governance architecture and experience in tools implementation like Informatica EDC/AXON, Collibra,Alation,MHUB and other leading Data Governance tool platforms. The ideal candidate will lead data quality, consistency, and accessibility across various Enterprise platforms and business units. Required Qualifications: Bachelor’s/master’s degree in information systems, Computer Science, or a related technical field. Strong knowledge of data governance, architecture techniques and methodologies and experience in data governance initiatives is must. 7 years of minimum experience in data governance architecture and implementation of Data Governance across business enterprise. Hands on experience in design and implement architectural patterns for data quality, metadata management, data lineage, data security, and master data management Strong hands-on expertise in Collibra (workflows, APIs, metadata integration, policy automation). Experience with ETL/ELT pipelines, data lineage capture, and data integration tools. Familiarity with data modeling (conceptual, logical, physical). Proficiency in SQL, Python/Java for integration and automation. Experience with SQL, back end scripting and API’s. Understanding of data governance principles and compliance practices Proficiency in working with cloud platforms (AWS, Azure, or GCP) Knowledge of big data technologies (Hadoop/Spark, etc.) and data visualization and BI tools is a plus Strong analytical and problem-solving skills Excellent communication and stakeholder management abilities Roles & responsibilities: Design, develop, and maintain enterprise-wide data governance architecture frameworks and meta data models Establish data governance strategies, policies, standards, and procedures for compliance processes Conduct maturity assessments and change management efforts. Evaluate and recommend Data governance framework and tools to meet enterprise business needs. Design and implement architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and master data management (MDM) across various data platforms (e.g., data lakes, data warehouses, operational databases). Create and manage data dictionaries, metadata repositories, and data catalogs Architect technical and business metadata workflows and govern glossary approvals and workflows Validate end to end lineage across multiple sources and targets Design and enforce rules for, classification, Access, Retention and sharing data techniques Analyze/ Define the enterprise business KPI’s and validate data governance requirements. Collaborate with Data Stewards to define technical specifications for data quality rules, validation checks and KPI’s reporting. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Ensure data compliance with relevant regulations like GDPR,HIPAA,CCPA,SOX etc. Excellent communication and ability to mentor and inspire teams.

About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Overview /Objective: The Data Governance Lead will serve as a hands-on leader to drive the development and implementation of our enterprise-wide data governance framework. This role is critical to solving current data challenges, including inconsistent business rules, unclear data ownership, lack of data quality standards, fragmented business taxonomies, and absence of a centralized data catalog. The successful candidate will serve as a bridge between business and technical stakeholders to establish scalable governance practices that increase trust in data, reduce inefficiencies, and enable data-driven decision-making across the organization. Responsibilities: Governance Framework & Standards Design and implement a fit-for-purpose enterprise data governance framework. Develop and maintain policies, procedures, and standards for data governance, including data ownership, stewardship, access, and usage. Lead the rollout of role definitions for data owners and stewards across the business. Business Rules & Taxonomy Management Partner with business units to identify, standardize, and document core business rules and data definitions. Drive alignment and version control of business taxonomies, ensuring they are centrally maintained and regularly updated. Establish a governance process for creating, updating, and retiring taxonomy elements and business rules. Data Quality & Accountability Define and implement data quality dimensions (accuracy, completeness, timeliness, consistency, etc.) across key data domains. Collaborate with functional leads to establish and maintain quality rules and thresholds. Create a feedback loop to monitor data issues and ensure accountability for resolution. Data Ownership & Stewardship Lead the identification and onboarding of data owners and stewards. Facilitate training and engagement programs to support the ongoing participation of governance roles. Establish a RACI model to ensure clarity of responsibilities and decision-making authority. Metadata Management & Cataloging Lead the selection and implementation of a data catalog and metadata management solution (if not already in place). Work with technical teams to populate and maintain metadata in a centralized platform. Promote catalog adoption and usage across the enterprise. Cross-Functional Engagement Partner with data platform, engineering, analytics, legal, compliance, and business teams to embed governance in daily operations. Serve as a subject matter expert and advisor on data governance for major initiatives and projects. Qualifications: 10+ years of experience in data management, with 7+ years in Data Governance roles. Proven track record designing and operationalizing governance frameworks at scale. Strong knowledge of data quality principles, metadata management, business rules management, and metadata standards. Hands-on knowledge with data governance platforms (e.g., Collibra, Alation, Informatic) is a plus. Familiarity with Google cloud platform(GCP) Exceptional communication and stakeholder management skills. Ability to operate both strategically and tactically in a cross-functional environment.

We are Hiring: Data & Records Governance Roles -Pune UK Captive Bank Roles Available: Assistant Vice President (Data & Records Governance Lead) Pune | Up to 22.50 LPA | 8+ years experience Data Governance Analyst Pune | Up to 13.50 LPA | 5+ years experience What youll do: Build and maintain Data & Records Governance Frameworks aligned with laws, regulations, and best practices. Drive data quality, compliance, and risk management . Support governance strategy across customer, financial, and internal records. Collaborate across functions to deliver trusted, secure data for the business. What were looking for: Proven expertise in Data Governance, Quality, and Risk Management. Knowledge of data architecture, integration, analytics, AI, or cloud computing. For AVP: hands-on experience with data governance frameworks, Quality and risk management and strong leadership skills to guide teams, influence stakeholders, and drive change. For Analyst: hands-on experience with data governance frameworks, Quality and risk management. For details call on 9953939776 or email resume to kanika@manningconsulting.in

Project description We are seeking a highly skilled Data Modelling Expert with deep experience in the Avaloq Core Banking platform to join our technology team. The ideal candidate will be responsible for designing, maintaining, and optimizing complex data models that support our banking products, client data, and regulatory reporting needs. This role requires a blend of domain expertise in banking and wealth management, strong data architecture capabilities, and hands-on experience working with the Avaloq platform. Responsibilities Design, implement, and maintain conceptual, logical, and physical data models within the Avaloq Core Banking system. Collaborate with business analysts, product owners, and Avaloq parameterisation teams to translate business requirements into robust data models. Ensure alignment of data models with Avaloq's object model and industry best practices. Perform data profiling, quality checks, and lineage tracing to support regulatory and compliance requirements (e.g., Basel III, MiFID II, ESG). Support integration of Avaloq data with downstream systems (e.g., CRM, data warehouses, reporting platforms). Provide expert input on data governance, metadata management, and model documentation. Contribute to change requests, upgrades, and data migration projects involving Avaloq. Collaborate with cross-functional teams to drive data consistency, reusability, and scalability. Review and validate existing data models, identify gaps or optimisation opportunities. Ensure data models meet performance, security, and privacy requirements. Skills Must have Proven experience (5+ years) in data modelling or data architecture, preferably within financial services. 3+ years of hands-on experience with Avaloq Core Banking Platform, especially its data structures and object model. Strong understanding of relational databases and data modelling tools (e.g., ER/Studio, ERwin, or similar). Proficient in SQL and data manipulation in Avaloq environments. Knowledge of banking products, client lifecycle data, and regulatory data requirements. Familiarity with data governance, data quality, and master data management concepts. Experience working in Agile or hybrid project delivery environments. Nice to have Exposure to Avaloq Scripting or parameterisation is a strong plus. Experience integrating Avaloq with data lakes, BI/reporting tools, or regulatory platforms. Understanding of data privacy regulations (GDPR, FINMA, etc.). Certification in Avaloq or relevant financial data management domains is advantageous. Other Languages English: C1 Advanced Location - Pune,Bangalore,Hyderabad,Chennai,Noida

Summary: We are seeking a highly skilled and experienced Snowflake Database Administrator (DBA) to join our team. The ideal candidate will be responsible for the administration, management, and optimization of our Snowflake data platform. The role requires strong expertise in database design, performance tuning, security, and data governance within the Snowflake environment. Key Responsibilities: Administer and manage Snowflake cloud data warehouse environments, including provisioning, configuration, monitoring, and maintenance. Implement security policies, compliance, and access controls. Manage Snowflake accounts and databases in a multi-tenant environment. Monitor the systems and provide proactive solutions to ensure high availability and reliability. Monitor and manage Snowflake costs. Collaborate with developers, support engineers and business stakeholders to ensure efficient data integration. Automate database management tasks and procedures to improve operational efficiency. Stay up to date with the latest Snowflake features, best practices, and industry trends to enhance the overall data architecture. Develop and maintain documentation, including database configurations, processes, and standard operating procedures. Support disaster recovery and business continuity planning for Snowflake environments. Required Qualifications: Bachelors degree in computer science, Information Technology, or a related field. 5+ years of experience in Snowflake operations and administration. Strong knowledge of SQL, query optimization, and performance tuning techniques. Experience in managing security, access controls, and data governance in Snowflake. Familiarity with AWS. Proficiency in Python or Bash. Experience in automating database tasks using Terraform, CloudFormation, or similar tools. Understanding of data modeling concepts and experience working with structured and semi-structured data (JSON, Avro, Parquet). Strong analytical, problem-solving, and troubleshooting skills. Excellent communication and collaboration abilities. Preferred Qualifications: Snowflake certification (e.g., SnowPro Core, SnowPro Advanced: Architect, Administrator). Experience with CI/CD pipelines and DevOps practices for database management. Knowledge of machine learning and analytics workflows within Snowflake. Hands-on experience with data streaming technologies (Kafka, AWS Kinesis, etc.).

Job Description The ideal candidate to lead the design and implementation of AI-driven systems and platforms. The candidate will be responsible for aligning AI technologies with business goals, architecting robust and scalable solutions, and guiding development teams through delivery. This role bridges technical expertise with strategic thinking. Roles and Responsibilities Lead the architecture and design of AI/ML-powered solutions across multiple domains: NLP, Computer Vision, Predictive Analytics, and Generative AI. Collaborate with stakeholders to define AI-driven strategies aligned with business goals. Select appropriate models, frameworks, and platforms (TensorFlow, PyTorch, OpenAI, Azure AI, etc.). Design end-to-end AI workflows: data pipelines, model training, evaluation, deployment, and monitoring. Provide technical leadership and mentorship to AI developers, engineers, and data scientists. Ensure model performance, scalability, and maintainability through best practices. Integrate AI systems with APIs, microservices, and cloud infrastructure. Promote ethical and responsible AI use, including bias detection and governance. Eligibility Skills: Educational Qualification: B.E./B.Tech/M.Tech in Computer Science, Data Science, or related field. Certifications in AI/ML architecture or cloud AI (AWS, Azure, GCP) preferred. Technical Skills: Proven experience in designing and deploying AI/ML solutions at scale. Deep understanding of ML lifecycle, model evaluation, and feature engineering. Hands-on expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of Generative AI, LLMs, LangChain, RAG, and vector databases. Strong experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI). Data engineering and pipeline skills (Airflow, Spark, Kafka). Strong system architecture and integration experience (REST APIs, microservices, Docker, Kubernetes). Excellent communication and stakeholder management skills. Preferred Skills: Prior experience as ML/AI Lead or Senior Data Scientist. Knowledge of enterprise data governance and compliance. Industry expertise in retail, fintech, healthcare, or other AI-intensive sectors. What We Offer Lead AI strategy and architecture for enterprise-grade solutions. Work on advanced AI technologies across NLP, CV, and GenAI. Key leadership role with strong influence on AI roadmap and innovation.

Education: BE / B.Tech / Any Graduation or above / M.Tech Experience: 3 to 5 years of experience in full backend development. Key Responsibilities: Design (swagger) and develop scalable, reusable APIs that meet evolving business needs, with an emphasis on security, performance, and maintainability: Deep understanding of RESTful API standards and microservices architecture. Proficiency in backend programming languages such as Python, Javascript, Experience with API testing tools (e.g., Postman, Apigee) and API management platforms. Experience with APIM Snaplogic/MuleSoft is strongly preferred. Strong knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and associated deployment strategies. Familiarity with API security measures, including authentication (OAuth, JWT) and authorization protocols. Manage code repositories and deployment pipelines using Git or Gitlab with tools like IntelliJ. Design and implement backend solutions by leveraging Snaplogic pipelines, Neo4j for knowledge graph integration, and Kafka for real-time data streaming. Experience with API lifecycle management and familiarity with MCP layer architecture for AI enablement is highly desirable. Oversee the deployment process and ensure smooth integration with existing systems, working closely with system owners to align API implementations with core system capabilities and constraints. Collaborate with business analysts to translate requirements into actionable backend solutions. Assist in the creation and maintenance of comprehensive documentation, including API specifications, user guides, and system integration details. Advocate for and implement best practices in code reusability and system integration. Facilitate communication between the API development team and system owners to resolve technical issues and align development objectives. Required Qualifications: Proficiency in programming languages such as Python, Java, or .NET. Experience with API security measures, authentication, and authorization protocols. Strong knowledge of RESTful API standards and best practices. Familiarity with cloud services (AWS, Azure, Google Cloud) and API management and testing tools (i.e. Snaplogic, MuleSoft, Azure, Postman, Apigee). Experience with modular architecture or composable systems. Understanding of data governance and API cataloging. Preferred Qualifications: Experience working in AI/ML-enabled environments. Exposure to enterprise integration strategies or customer-centric platforms. Familiarity with agile development methodologies. Knowledge about Change and Release management. Ability to understand multi-tier architecture. Collaborate with cross-functional team members to refine and optimize application functionality and design. Participate actively in team planning, implementation, and review sessions to align project goals and development priorities. Assist in creation and maintenance of comprehensive documentation, including API specifications, code references, and user guides to support the organization s modular architecture and integration strategies. Strong problem-solving skills, attention to detail, and ability to manage multiple project tasks effectively.

"> Your Role The Adobe Analytics & Customer Journey Analytics Expert is responsible for designing, implementing, and optimizing digital analytics solutions to deliver actionable insights across web, mobile, and omnichannel experiences. This role bridges technical implementation and business strategy, ensuring data accuracy, advanced analysis, and insight-driven decision-making. What You ll Be Doing Design and maintain Solution Design References (SDRs) for Adobe Analytics implementations. Configure and manage report suites, eVars, props, events, classifications, and processing rules. Set up and manage Connections and Data Views in Customer Journey Analytics (CJA). Implement data collection tags using Adobe Launch or other tag management systems. Define and implement cross-device tracking and identity stitching strategies. Integrate online and offline datasets (POS, CRM, marketing platforms) into CJA via Adobe Experience Platform. Apply and maintain data governance, compliance, and privacy standards (GDPR, CCPA). Build and maintain interactive dashboards in Analysis Workspace and CJA. Develop attribution models, funnel/pathing analyses, and provide actionable insights. Partner with Adobe Target & personalization teams for A/B testing and campaign optimization. Collaborate with marketing, product, UX, and development teams to align analytics with business goals. Train internal teams on using Adobe Analytics and CJA effectively. Stay updated on Adobe Analytics & CJA feature releases, industry trends, and best practices. What We d Love To See 3 7+ years of experience in web/digital analytics, with proven hands-on Adobe Analytics & CJA expertise. Proven expertise in Adobe Analytics (eVars, props, events), CJA (Connections, Data Views), Adobe Experience Platform, and Adobe Launch. Strong grasp of segmentation, attribution modeling, funnel analysis, and statistical analysis. Ability to translate raw data into business-ready insights with clear recommendations. Excellent communication skills with the ability to enable and upskill stakeholders. Strong business acumen and comfort collaborating with cross-functional teams. A track record of troubleshooting tracking/reporting issues and ensuring data quality. It d Be Great If You Had Working knowledge of SQL, API integrations, and predictive modeling. Experience with cross-device tracking and identity stitching strategies. Familiarity with data governance and compliance standards. Exposure to optimization and personalization initiatives using Adobe Target or similar tools. What You Can Expect Opportunity to work with a diverse and well-experienced team. To be part of the team who creates phenomenal growth stories for worlds renowned brands. Professional Growth Roadmap. Real-time mentorship and guidance from the leaders. A workplace that invests in your career, cares for you and is fun & engaging. You can be yourself and do amazing work. Benefits Interested in joining our team of artists, geeks, strategizers, and writersIf you re a passionate, talented individual, we want to hear from you. Competitive salary Flexible work-life balance with a 5-day working Policy Paid time off Learning & Development bonus Health coverage Rewards & Recognitions Event & Festivals celebrations Ongoing training programs Onsite opportunities Recognition opportunities for open-source contributions Apply Now Trusted by leading brands

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Data Quality Senior associate within the Firmwide Data Quality team, you will manage a portfolio of data quality items throughout the DQ Item Management lifecycle, from Intake to Closure. Collaborate with the LOB / CF CDO organizations to establish procedures, tooling requirement, produce data quality metrics to senior forums and partner with Product team to build new metrics. Job Responsibilities Manage portfolio(s) of data quality items related to all LOB/CF functions, Products, and/or Functional Areas Ensure data quality items are progressing throughout the DQ Item Management lifecycle in a timely manner (Intake, Prioritize, Analyze, Commit, Resolve, and Closure) Develop strong partnerships with Technology, the Controls Organization, Product/Data Owners, Executives/Business Leads, Compliance, Legal, and other stakeholders Collaborate with key stakeholders to identify tactical and strategic resolution paths including ownership and timeframes for completion Host Data Quality Working Groups and present data quality item summaries to stakeholders for awareness and approvals Produce monthly reporting to Controls organization and stakeholders to ensure they are aware of the data quality items and next steps needed for resolution Actively support the broader Data Governance team s strategic initiatives and goals Required Qualifications, Capabilities, and Skills Formal training or certification on Data Management concepts and 3+ years applied experience Experience with Data Management concepts in Data Analytics, Data Governance, Risk, Controls, or Compliance Strong verbal and written communication skills to present research findings and resolution paths in Executive-level forums Excellent interpersonal and leadership skills including the ability to resolve conflict, create consensus, and to make effective decisions as a team Ability to independently set priorities and manage multiple initiatives simultaneously with the focus of delivering a high-quality product to the business, our customer Ability to build strong partnerships, desire to learn quickly, and to effectively meet or exceed deadlines Preferred Qualifications, Capabilities, and Skills Experience in data quality within a large financial institution Bachelors degree in Business, Data Management, or related field Proficiency in data analysis and visualization tools (e.g., SQL, Tableau, Power BI) Familiarity with relevant regulatory requirements and industry standards related to data quality and data governance

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Workday Core Integrations Good to have skills : Workday Core HCMMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with teams to design and implement solutions that align with business needs and processes. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead design discussions and provide technical guidance to the team- Conduct code reviews and ensure adherence to coding standards- Stay updated on industry trends and best practices to enhance application design Professional & Technical Skills: - Must To Have Skills: Proficiency in Workday Core Integrations- Strong understanding of Workday Core HCM- Experience in designing and implementing integrations in Workday- Knowledge of Workday Studio and EIBs- Familiarity with Workday security and data governance- Hands-on experience in troubleshooting and resolving integration issues Additional Information:- The candidate should have a minimum of 7.5 years of experience in Workday Core Integrations- This position is based at our Chennai office- A 15 years full-time education is required Qualification 15 years full time education

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Manager - Business Consulting Principal responsibilities Requirements management, analysis and documenting all relevant business analysis deliverables throughout the project lifecycle. Translate business requirements into clear and concise functional specifications for technical teams & Work along with the product owner and stakeholders to breakdown requirements to epics, stories, tasks. Collaborate with technology teams to design solutions that meet business needs & Participate in system testing, user acceptance testing, and validation of implemented solutions. Collaborate with project managers to define project scope, objectives, and deliverables. Risk identification, risk reporting and devising interventions to mitigating risks. Requirements Overall 4+ years of experience in Data and Analytics, data governance, MI reporting projects. Experience as a Business Analyst or in a related role; to be able to analyse data, identify trends, and draw meaningful insights that can inform business decisions. Excellent communication skills to be able to communicate complex ideas and findings to stakeholders in a clear and concise manner & Strong Interpersonal skills, collaborate with different stakeholders, and build strong relationships with clients and colleagues. Knowledge and understanding of financial-services/ banking-operations Hands-on experience of relevant tools such as Microsoft Visio, JIRA, Confluence, etc. Knowledge and understanding of Agile methodologies and frameworks (Scrum, Lean, Kanban etc) You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

What you get to do in this role: ServiceNow is seeking a seasoned product management leader to drive the end-to-end lifecycle of Generative AI Platform capabilities, with a strong focus on data infrastructure, AI readiness, and trusted AI delivery. This leader will closely partner with engineering, platform and horizontal product teams, and go-to-market functions to deliver AI-native platform features that power next-gen applications across multiple use cases. The ideal candidate is deeply passionate about Gen AI platforms, understands the critical role of data in building and scaling AI products, and thrives in fast-paced, ambiguous environments. Own the product strategy and roadmap for Gen AI platform services, with emphasis on data ingestion, model lifecycle management, grounding, prompt orchestration, and output validation. Partner with engineering and design to build robust, scalable platform components that address the unique challenges of Gen AI deployment in the enterprise. Drive requirements and integration strategies for data governance, vector databases, LLM evaluation tooling, and observability throughout the AI lifecycle. Leverage existing ServiceNow capabilities while identifying key innovations needed to unlock the full value of Gen AI across the product portfolio. Influence horizontal and vertical product teams to adopt common Gen AI and data standards, ensuring reuse, scalability, and trust. Collaborate with Outbound partners to deliver ecosystem-aligned, data-powered solutions to market. Analyze competitive Gen AI platform trends and identify whitespace opportunities to differentiate ServiceNow. Engage deeply with customers to drive platform adoption, gather feedback, and continuously iterate on the roadmap based on evolving enterprise needs. Prototype and test new AI capabilities with cross-functional teams, translating early learnings into product direction. Champion customer-centric thinking across the organization and be the voice of AI platform users, including developers, data scientists, and enterprise architects. To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry. Experience in building or managing Gen AI platform capabilities, including data pipelines, model orchestration, LLM tuning, and evaluation frameworks, with a strong track record as an individual contributor. 14+ years of enterprise software product management experience, with at least 5 in SaaS; AI/ML or data platform experience strongly preferred. Familiarity with ServiceNows platform and application portfolio is a strong plus. Thought leadership in Generative AI trends, AI safety and ethics, and enterprise AI adoption patterns. Comfortable navigating complexity and ambiguity, with a bias for action and continuous learning. Excellent communicator who can tailor messages to technical and business audiences alike, from LLM practitioners to C-suite stakeholders. Analytical thinker with strong data literacy; able to connect technical metrics with product strategy and user outcomes. Proven collaborator with experience driving consensus and execution across engineering, design, sales, and customer success teams. Obsession with product-market fit and delivering value at speed while maintaining a long-term architectural vision. Entrepreneurial mindset with experience launching 0-to-1 products or platform capabilities; proven ability to scale offerings over time. Lead, manage a high-performing team of product managers, leveraging exceptional leadership skills to inspire and motivate them to achieve exceptional results. Strong understanding of the role of data in AI development labeling, quality, governance, and how it impacts model performance and business outcomes.

Position Purpose The Data Architect is to support the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and undertaking the design of data models and supporting the management of metadata. The Data Architect mission will integrate a focus on GDPR law, with the contribution to the privacy impact assessment and Record of Process & Activities relating to personal Data. The scope is CIB EMEA and CIB ASIA Responsibilities Direct Responsibilities Engage with key business stakeholders to assist with establishing fundamental data governance processes Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects. Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy Allows people to step logically through the Information System (be able to train them to use tools like Abacus) Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings. Skill Area Expected Communicating between the technical and the non-technical Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Data Modelling (Business Flows of Data in Abacus) Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards. Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs. Data Standards (Rules defined to manage/ maintain Data) Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organisation. Develops data standards for a specific component. Analyses where data standards have been applied or breached and undertakes an impact analysis of that breach. Metadata Management Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets. Works with metadata repositories to complete and Maintains it to ensure information remains accurate and up to date. The objective is to manage own learning and contribute to domain knowledge building Turning business problems into data design Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements. Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns. Contributing Responsibilities It is expected that the data architect applies knowledge and experience of the capability, including tools and technique and adopts those that are more appropriate for the environment. The Data Architect needs to have the knowledge of: The Functional & Application Architecture, Enterprise Architecture and Architecture rules and principles The activities Global Market and/or Global Banking Market meta-models, taxonomies and ontologies (such as FpML, CDM, ISO2022) Skill Area Expected Data Communication Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact. Able to create basic visuals and presentations. Data Governance Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service. Understands what data governance is required and contribute to these data governance. Data Innovation Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes Aware of opportunities for innovation with new tools and uses of data Technical & Behavioral Competencies 1. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. 2. Able to create basic visuals and presentations. 3. Experience in working with Enterprise Tools (like Abacus, informatica, big data, collibra, etc) 4. Experience in working with BI Tools (Like Power BI) 5. Good understanding of Excel (formulas and Functions) Specific Qualifications (if required) Preferred: BE/ BTech, BSc-IT, BSc-Comp, MSc-IT, MSc Comp, MCA Skills Referential Behavioural Skills : Communication skills - oral & written Ability to collaborate / Teamwork Ability to deliver / Results driven Creativity & Innovation / Problem solving Transversal Skills: Analytical Ability Ability to understand, explain and support change Ability to develop and adapt a process Ability to anticipate business / strategic evolution Education Level: Bachelor Degree or equivalent Experience Level At least 7 years Other/Specific Qualifications (if required) 1. Experience in GDPR (General Data Protection Regulation) or in Privacy by Design would be preferred 2. DAMA Certified

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio 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 developing solutions that align with organizational goals and enhance operational efficiency. 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.- Collaborate with cross-functional teams to analyze requirements and develop software solutions.- Design, develop, and test applications using Ab Initio to ensure high performance and reliability.- Troubleshoot and debug applications to optimize functionality and enhance user experience.- Document technical specifications and provide support during implementation and maintenance phases.- Stay updated with industry trends and best practices to continuously improve application development processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of ETL processes and data integration techniques.- Experience with data quality management and data governance principles.- Knowledge of SQL and database management systems.- Good To Have Skills: Experience with data modeling and schema design. Additional Information:- The candidate should have a minimum of 3 years of experience in Ab Initio.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

JOB DATA JOB TITLE: Senior Technical Consultant - SAP MDG Experience Required: 5 10 Years DEPARTMENT: SAP Delivery DES Location Hyderabad/ Pune (Willing to work in EST/ CST shift) Job Overview: As an SAP MDG Technical Consultant, you will be responsible for designing, implementing, and customizing SAP Master Data Governance solutions for our clients. You will work closely with our clients to understand their business requirements, configure the SAP MDG platform to meet those requirements, and integrate MDG with other SAP modules and third-party systems. The ideal candidate will have a strong technical background in SAP MDG along with excellent communication and problem [1] solving skills RESPONSIBILITIES: Collaborate with clients to understand their master data management needs and requirements. Design and implement SAP MDG solutions for various master data domains such as Material, Customer, Vendor, and Finance. Configure and customize SAP MDG data models, UIs, workflows, and business rules to enforce data standards and governance policies. Develop custom enhancements using ABAP, BADI, and exits to address unique business requirements and integrate MDG with other SAP and non-SAP systems. Expertise in Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF), and Business Rules Framework plus (BRFplus). In depth knowledge of Key mapping and Value mapping Perform data migration activities from legacy systems to SAP MDG, ensuring data accuracy and integrity. Provide technical expertise and support during all phases of SAP MDG implementation projects. Conduct workshops, training sessions, and knowledge transfer sessions for client teams. Stay updated with the latest SAP MDG developments and best practices and share knowledge within the team. Collaborate with cross-functional teams including functional consultants, business analysts, and project managers to deliver successful SAP MDG projects. EDUCATION: Bachelors degree in Computer Science, Information Systems, or related field. Minimum [5] years of experience as an SAP MDG Technical Consultant, including at least 2 end-to-end SAP MDG project implementation experience. Strong understanding of master data management principles and SAP MDG architecture. Proficiency in SAP MDG modules including Material, Customer, Vendor, and Finance. Experience with SAP integration technologies such as IDoc, RFC, and Web Services. Hands-on experience with ABAP development and enhancement framework. Excellent communication and interpersonal skills. Ability to work independently and as part of a team in a fast-paced environment. SAP MDG certification(s) preferred

Job Summary The Data Governance team is focused on ensuring data is managed properly, according to established policies and procedures, while delivering high quality data. Although the driver of the team is to ensure the organization gets value out of the data, the team focuses on how decisions are made about data, and how the enterprise interacts with data. The Senior Analyst, Data Governance Policy and Standards executes our objectives through partnership with the Data Governance leadership team in ensuring adherence to our Data Governance policies and standards. This role requires a deep understanding of the strategic vision of Data Governance, familiarity with business policies and standards, and data processing applications. Essential Job Functions Strategy Management - Partner with the strategy organization to execute upon our roadmap by assessing adherence to our Data Management policies and standards across the enterprise. Ensure alignment on scope and determine appropriate testing methodologies to uncover any gaps in policy and standards adherence. Partner closely with the organization on data changes and impacts to our business units. - (30%) Collaboration Execute great collaboration skills needed to partner with the teams or domains concerned, in delivering the procedures and in ensuring that the same is being audited time to time ensuring maximum adaptability. - (30%) Data Analysis - Establish the appropriate methodologies, engage internal parties, and facilitate the assessment. Upon completion of assessment, provide actionable insight if enterprise training and communication is needed, or modification of standards. Perform complex data analysis to identify data issues, data patterns and potential connections to other data assets (mainframe, cloud, etc.). - (40%) Minimum Qualifications Bachelor s Degree in Business, Computer Science, Engineering, or Information Systems; or equivalent, relevant work experience 5+ years of experience working in data governance or data management practices Experience writing policies and/or standards, or other enterprise materials Experience developing complex queries using SQL or other coding languages Experience with complex data profiling and analysis Preferred Qualifications Master s Degree Business, Computer Science, Engineering, or Information Systems Experience working in analytics within the data governance or data management practices, auditor, or examiner Experience working in data governance or data management practices Skills Data Governance Data Management Data Analysis Statistics Datasets Machine Learning Learning Tools Cloud Technology Apache Hadoop Platform Technologies Microsoft SQL Server Databricks Platform Reports To : Manager and above Direct Reports : 0 Work Environment Normal office environment. Some travel may be required. Hybrid mode, 6 days a month of working from office every month. Flexibility on changes to the same based on organization decision Travel Ability to travel up to 5% Other Duties This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time. About Bread Financial At Bread Financial, you ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We ve been consistently recognized as a best place to work nationally and in many markets and we re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers. To learn more about Bread Financial, our global associates and our sustainability commitments, visit breadfinancial.com or follow us on Instagram and LinkedIn . All job offers are contingent upon successful completion of credit and background checks. Bread Financial is an Equal Opportunity Employer. Job Family: Information Technology Job Type: Regular

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP HANA DB Administration Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are optimized for performance and usability, while maintaining a focus on delivering high-quality solutions that meet business needs. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HANA DB Administration.- Strong understanding of database management and optimization techniques.- Experience with performance tuning and troubleshooting in SAP HANA environments.- Familiarity with data modeling and data warehousing concepts.- Ability to implement security measures and data governance policies. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP HANA DB Administration.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

What you ll do: "The Lead MDM Analyst will be responsible for driving and coordinating Master Data Management (MDM) initiatives. This role will serve as a key liaison between business and IT teams, ensuring high-quality, consistent, and reliable data flows across systems, including to Eaton.com and distributor platforms. The individual will lead MDM projects, enforce data governance standards, and support cross-functional collaboration to improve data quality and operational efficiency." "- Lead and coordinate MDM initiatives, ensuring alignment with business goals and data strategy. - Act as a bridge between IT and business teams to translate data requirements into actionable solutions. - Manage large volumes of master data across domains, ensuring accuracy, completeness, and consistency. - Identify data quality issues, perform root cause analysis, and implement corrective actions to close data gaps. - Drive data governance practices, including the development and enforcement of standards, policies, and procedures. - Ensure timely and accurate data syndication to external platforms such as Eaton.com, AEM, and distributor systems. - Collaborate with cross-functional teams to support data readiness for new product launches, system integrations, and business transformations. - Utilize data analysis tools to monitor data health, generate insights, and support decision-making. - Provide guidance and mentorship to junior analysts and data stewards involved in MDM activities. - Continuously evaluate and improve MDM processes, tools, and workflows to enhance data quality and operational efficiency. - Support AEM and PDH for integration with Eaton.com & order center " Qualifications: "Degree in Business Administration / Marketing / Commerce or similar " " Minimum 6 years prior technical marketing or sales experience preferred" At least 6-year exp in Master data management Skills: Ability to work effectively in team environment and independently. " Experience in Advanced Excel is must Experience is Power BI and SQL is good to have. Good to have knowledge of Stibo Good communication, Team player." " Drive for results Makes Decisions & Solves Problems Demonstrates a Collaborative Style Promotes and Champions Change Business Acumen Pursues personal development Strong work ethic, flexibility, and a desire to actively contribute to the group s success Ability to prioritize multiple tasks Team player. Ability to handle high-pressure, fast-paced environment requiring diligence to detail Proven analytical and critical thinking skills "

Were looking for a Lead Principal Data Scientist This role is Office Based, Hyderabad Office Were looking for a highly experienced and innovative Lead Principal Data Scientist to drive the development and adoption of our LLM Platform and Generative AI initiatives. In this pivotal role, youll be instrumental in shaping our AI strategy, architecting scalable solutions, and providing expert guidance to cross-functional teams on a diverse range of use cases. Youll also be responsible for leading and mentoring a team of data scientists. What Youll Do: Hands-on Development: Actively participate in the coding, development, and testing of core LLM platform components, Generative AI models, and related tools to ensure high quality and performance. Architecture & System Design: Lead the design and implementation of robust, scalable, and efficient systems for LLM s, fine-tuning, deployment, and inference. This includes considerations for data pipelines, model serving, and API development. Research & Innovation: Stay at the forefront of LLM and Generative AI research, evaluating new techniques and tools to continually enhance our platform and capabilities. Performance & Evaluation: Establish metrics and conduct rigorous evaluations of LLM and Generative AI solutions to ensure business impact and continuous improvement. Team Leadership & Mentorship: Lead, mentor, and inspire a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning. Provide technical guidance, conduct code reviews, and support their professional development. Cross-Team Guidance: Act as a subject matter expert and provide technical leadership to multiple teams, helping them identify, design, and implement Generative AI solutions for their specific use cases (e.g., content generation, code assistance, customer support automation, data augmentation). What will you bring to the Team: 10+ years of experience in data science with a strong focus on Machine Learning, including significant experience (3+ years) with Large Language Models (LLMs) and Generative AI. Proven track record in designing and architecting complex, high-scale AI systems, including experience with distributed computing and cloud platforms (AWS, GCP). Strong programming skills in Python/Java and proficiency with relevant ML frameworks. Solid understanding of data governance, privacy, and ethical considerations related to AI and LLMs. Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Were looking for a highly experienced and innovative Lead Principal Data Scientist to drive the development and adoption of our LLM Platform and Generative AI initiatives. In this pivotal role, youll be instrumental in shaping our AI strategy, architecting scalable solutions, and providing expert guidance to cross-functional teams on a diverse range of use cases. Youll also be responsible for leading and mentoring a team of data scientists. What Youll Do: Hands-on Development: Actively participate in the coding, development, and testing of core LLM platform components, Generative AI models, and related tools to ensure high quality and performance. Architecture & System Design: Lead the design and implementation of robust, scalable, and efficient systems for LLM s, fine-tuning, deployment, and inference. This includes considerations for data pipelines, model serving, and API development. Research & Innovation: Stay at the forefront of LLM and Generative AI research, evaluating new techniques and tools to continually enhance our platform and capabilities. Performance & Evaluation: Establish metrics and conduct rigorous evaluations of LLM and Generative AI solutions to ensure business impact and continuous improvement. Team Leadership & Mentorship: Lead, mentor, and inspire a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning. Provide technical guidance, conduct code reviews, and support their professional development. Cross-Team Guidance: Act as a subject matter expert and provide technical leadership to multiple teams, helping them identify, design, and implement Generative AI solutions for their specific use cases (e.g., content generation, code assistance, customer support automation, data augmentation). What will you bring to the Team: 10+ years of experience in data science with a strong focus on Machine Learning, including significant experience (3+ years) with Large Language Models (LLMs) and Generative AI. Proven track record in designing and architecting complex, high-scale AI systems, including experience with distributed computing and cloud platforms (AWS, GCP). Strong programming skills in Python/Java and proficiency with relevant ML frameworks. Solid understanding of data governance, privacy, and ethical considerations related to AI and LLMs. Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members, analyzing requirements, and developing solutions to meet business needs. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Conduct code reviews and ensure coding standards are met Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio- Strong understanding of ETL processes- Experience with data integration and data warehousing concepts- Hands-on experience in designing and developing ETL workflows- Knowledge of data quality and data governance principles Additional Information:- The candidate should have a minimum of 5 years of experience in Ab Initio- This position is based at our Pune office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, Core Banking Good to have skills : AWS BigDataMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. 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.- Assist in the optimization of data processing workflows to enhance efficiency.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with data governance and data quality frameworks. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education