1386 Data Governance Jobs - Page 33

Grow with us Our Exciting Opportunity At Product Line Customer Support Service Enablement within Ericsson s Group Functions Global Operations IT, we treat IT as a business by focusing on the value delivered alongside the costs incurred. We transition from merely consuming technology to actively identifying, nurturing, and developing new technologies that provide tangible value to our customers. About the Role We are seeking an IT Technology Specialist with expertise in Salesforce Service Cloud and Experience Cloud for our Salesforce Platform. This role requires a strategic thinker who can review, advise, and ensure compliance with best practices in Salesforce implementation, architecture, and solution design across Service and Experience Cloud environments. Key Responsibilities As an IT Technology Specialist, you will lead the technical product lifecycle in alignment with the product portfolio strategy and plan. You will manage requirements, solution design, integrations, and architecture in adherence to overarching principles and frameworks. You will be part of a product team comprising IT Product Owners, IT Technology Specialists, and platform consultants, collaborating with distributed development teams. Primary Duties: Define product strategy, roadmap, and optimize product total cost of ownership (TCO). Prepare product decisions and initiate execution of product development. Administer functional and non-functional requirements. Safeguard product design, integrations, and architecture. Document and maintain product information. Adhere to Ericsson s IT Security and Architecture processes. Governance Best Practices: Enforce best practices in Salesforce configuration, architecture, and security within Service Cloud and Experience Cloud to ensure high-quality, scalable solutions. Solution Guidance: Act as a trusted advisor, guiding development teams to align technical solutions with business goals, particularly in customer service and community engagement applications. Technical Review Quality Assurance: Conduct regular code and configuration reviews to ensure adherence to Salesforce standards and organizational policies. Recommend improvements and mitigations for identified risks. Documentation Standards: Develop and maintain documentation of Salesforce architecture, design principles, and governance standards to support development teams and stakeholders. Stakeholder Collaboration: Work closely with business stakeholders, Product Owners, and Project Managers to capture and validate requirements, ensuring development aligns with business objectives. Training Knowledge Sharing: Mentor development teams, providing guidance on Salesforce Service Cloud and Experience Cloud features, integrations, and best practices to upskill the team and promote a strong governance culture. Compliance Security: Oversee data governance, security models, and compliance adherence in alignment with organizational and regulatory requirements. Required Skills and Qualifications Bachelor s Degree or equivalent. Salesforce Certification(s): Salesforce Service Cloud Consultant (mandatory) Salesforce Experience Cloud Consultant (preferred) Experience: 5 to 8 years of experience in Salesforce platforms with a focus on Service Cloud and Experience Cloud. Proven experience in an oversight/governance role guiding technical teams in a Salesforce environment. Technical Expertise: Deep understanding of Salesforce Service Cloud and Experience Cloud capabilities, security models, and best practices. Familiarity with Apex, Lightning Components, Visualforce, and declarative tools, with sufficient technical knowledge to review and advise on development approaches. Soft Skills: Strong communication, analytical, and stakeholder management skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Proficiency in English, both written and spoken. Preferred Skills Knowledge of additional Salesforce modules such as Omni-Channel and Knowledge Management is a plus. Experience with governance frameworks, change management, and Agile/DevOps practices. Why join Ericsson What happens once you apply Primary country and city: India (IN) || Bangalore Req ID: 767698

Job Title: Senior Consultant - Knowledge Graph and Semantic Engineer career level: D3 Introduction to role: Join AstraZeneca Operations IT, where your work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak, combining powerful science with leading digital technology platforms and data. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we offer a dynamic and challenging environment filled with opportunities to learn and grow. Be part of a team that innovates, disrupts an industry, and changes lives. Accountabilities: As a Senior Consultant in Knowledge Graph and Semantic Engineering, you will design and develop ontologies, semantic models, and property graphs representing key business concepts in manufacturing and supply chain. You will define reusable graph patterns, apply standard methodologies in knowledge graph modeling, and develop SPARQL and Cypher queries for integrating, retrieving, and validating semantic data. You will support the integration of structured and unstructured data using semantic modeling and graph-based approaches. Collaborate with stakeholders to define business-driven semantic use cases and technical requirements, maintain delivery backlogs, oversee implementation plans, and ensure alignment with business priorities. Partner with product owners, data engineers, and architects to drive adoption of semantic technologies across functions. Deliver training, guidance, and documentation to upskill team members and stake \holders on semantic technologies. Stay ahead of on developments in semantic web, property graphs, linked data, and graph-based AI/ML. Essential Skills/Experience: Hands-on experience with Neo4j and Cypher query development. Solid grounding in RDF, OWL, SHACL, SPARQL, and semantic modeling standard methodologies. Strong proficiency in Python (or an equivalent language) for automation, data transformation, and pipeline integration. Demonstrated ability to define use cases, structure delivery backlogs, and manage technical execution. Strong problem-solving and communication skills, with a delivery-focused mindset. Bachelor s degree in Computer Science, Data Science, Information Systems, or a related field (Master s preferred). Desirable Skills/Experience: Experience with additional graph platforms such as GraphDB, Stardog, or Amazon Neptune. Familiarity with Cognite Data Fusion, IoT/industrial data integration, or other large-scale operational data platforms. Understanding of knowledge representation techniques and reasoning systems. Exposure to AI/ML approaches using graphs or semantic features. Knowledge of tools such as Prot g , TopBraid Composer, or VocBench. Familiarity with metadata standards, data governance, and FAIR principles. straZeneca is a place where diverse minds work inclusively to drive change across international boundaries. We couple technology with an inclusive mindset to develop a leading ecosystem. Our cross-functional teams bring together the best minds from across the globe to uncover new solutions. We think holistically about applying technology while building partnerships inside and out. By driving simplicity and efficiencies, we make a real difference. Ready to make an impact? Apply now to join our team! Date Posted 02-Jun-2025 Closing Date 08-Jun-2025

Grow with us Our Exciting Opportunity At Product Line Customer Support & Service Enablement within Ericsson s Group Functions Global Operations IT, we treat IT as a business by focusing on the value delivered alongside the costs incurred. We transition from merely consuming technology to actively identifying, nurturing, and developing new technologies that provide tangible value to our customers. About the Role We are seeking an IT Technology Specialist with expertise in Salesforce Service Cloud and Experience Cloud for our Salesforce Platform. This role requires a strategic thinker who can review, advise, and ensure compliance with best practices in Salesforce implementation, architecture, and solution design across Service and Experience Cloud environments. Key Responsibilities As an IT Technology Specialist, you will lead the technical product lifecycle in alignment with the product portfolio strategy and plan. You will manage requirements, solution design, integrations, and architecture in adherence to overarching principles and frameworks. You will be part of a product team comprising IT Product Owners, IT Technology Specialists, and platform consultants, collaborating with distributed development teams. Primary Duties: Define product strategy, roadmap, and optimize product total cost of ownership (TCO). Prepare product decisions and initiate execution of product development. Administer functional and non-functional requirements. Safeguard product design, integrations, and architecture. Document and maintain product information. Adhere to Ericsson s IT Security and Architecture processes. Governance & Best Practices: Enforce best practices in Salesforce configuration, architecture, and security within Service Cloud and Experience Cloud to ensure high-quality, scalable solutions. Solution Guidance: Act as a trusted advisor, guiding development teams to align technical solutions with business goals, particularly in customer service and community engagement applications. Technical Review & Quality Assurance: Conduct regular code and configuration reviews to ensure adherence to Salesforce standards and organizational policies. Recommend improvements and mitigations for identified risks. Documentation & Standards: Develop and maintain documentation of Salesforce architecture, design principles, and governance standards to support development teams and stakeholders. Stakeholder Collaboration: Work closely with business stakeholders, Product Owners, and Project Managers to capture and validate requirements, ensuring development aligns with business objectives. Training & Knowledge Sharing: Mentor development teams, providing guidance on Salesforce Service Cloud and Experience Cloud features, integrations, and best practices to upskill the team and promote a strong governance culture. Compliance & Security: Oversee data governance, security models, and compliance adherence in alignment with organizational and regulatory requirements. Required Skills and Qualifications Bachelor s Degree or equivalent. Salesforce Certification(s): Salesforce Service Cloud Consultant (mandatory) Salesforce Experience Cloud Consultant (preferred) Experience: 5 to 8 years of experience in Salesforce platforms with a focus on Service Cloud and Experience Cloud. Proven experience in an oversight/governance role guiding technical teams in a Salesforce environment. Technical Expertise: Deep understanding of Salesforce Service Cloud and Experience Cloud capabilities, security models, and best practices. Familiarity with Apex, Lightning Components, Visualforce, and declarative tools, with sufficient technical knowledge to review and advise on development approaches. Soft Skills: Strong communication, analytical, and stakeholder management skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Proficiency in English, both written and spoken. Preferred Skills Knowledge of additional Salesforce modules such as Omni-Channel and Knowledge Management is a plus. Experience with governance frameworks, change management, and Agile/DevOps practices. Primary country and city: India (IN) || Bangalore Req ID: 767698

Role & responsibilities: Configure/administer 3D tools (E3D, Smart Plant) Integrate 3D models with engineering data Ensure data governance Support digital twins Skill Set & Tools: 3D tool administration Data synchronization API/scripting AVEVA E3D, Smart Plant 3D, Autodesk Plant 3D, SPI, SPEL

Subject matter experts in Marketing and Comms provide business stakeholders with specialized advice on their subjects, and act as an advisor leveraging on a specific MC expertise. She/He is a person with indepth, unique knowledge and expertise on a specific subject or in a particular industry ex digital marketing, internal comms, telecom,etc. : Familiarity with metadata management and tagging best practices. Exceptional attention to detail, with a strong ability to spot errors and inconsistencies in large datasets or digital assets. Ability to work effectively with cross-functional teams, including marketing, creative, IT, and product teams, to resolve data issues and ensure alignment across the organization. Strong problem-solving skills to address data discrepancies, identify issues within workflows, and propose effective solutions. Proven track record of optimizing data management processes, improving workflows, and implementing data quality initiatives. Familiarity with data validation tools, reporting platforms (e.g., Excel, Power BI), and basic SQL or query languages for managing and analyzing data. Primary Skills: 4-6 years of experience in digital asset management, with a focus on maintaining data accuracy and consistency across systems. 2+ years Sitecore Digital Asset Management. Secondary Skills: Excellent written and verbal communication skills, with the ability to document processes, provide training, and explain data issues clearly to both technical and non-technical stakeholders. Bachelors degree in Business Administration, Information Technology, Data Science, Marketing, or a related field (or equivalent experience).

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Responsibilities Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making. Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Masters or Ph.D. degree is strongly preferred. 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. Expert proficiency in SQL for data extraction, manipulation, and analysis. Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Excellent leadership, strategic thinking, and stakeholder management abilities. Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn. Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. Experience in leading and managing cross-functional teams. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Roles Responsibilities : Partner with the Data Governance Manager to advance and execute the overall data governance agenda. Prepare and maintain thorough data documentation including data models, process flows, governance policies, and stewardship responsibilities. Work closely with IT, data management, and business units to implement data governance best practices and oversee migration efforts from SAP ECC to S/4HANA MDG. Monitor data governance activities, measure progress against KPIs, and regularly report outcomes to senior leadership. Conduct training sessions and awareness programs to promote a strong culture of data governance within the organization. Maintain deep expertise in SAP and other ERP systems (e. g. , JD Edwards) master data structures such as Vendor, Customer, Cost Center, Profit Center, and GL Accounts.

Roles Responsibilities : Coordinate with Data Owners to identify and define critical SAP master data elements, including Supplier, Finance, and Bank master data. Develop and maintain a comprehensive, business-facing data glossary and data catalog documenting SAP master data definitions, lineage, and usage. Define, implement, and enforce a robust data governance framework, including policies, standards, and processes to ensure data quality, compliance, and management for SAP Finance, Supplier, and Customer master data. Conduct regular data quality assessments and drive corrective actions to resolve data integrity issues across master data domains. Collaborate with cross-functional teams to embed data governance best practices into SAP business processes and workflows. Manage data cataloging and lineage to maintain transparency of data assets, their origins, and transformation within the SAP environment. Facilitate governance forums, data domain councils, and change advisory boards to review data issues, update standards, and promote continuous improvements. Prepare detailed data documentation, including data models, process flows, governance policies, and stewardship responsibilities. Work closely with IT, data management, and business units to implement effective data governance tools and practices. Monitor governance activities, track key metrics, and report progress to senior management. Lead training sessions and awareness programs to cultivate a strong data governance culture within the organization. Maintain deep knowledge of SAP and other ERP master data structures (Vendor, Customer, Cost Center, Profit Center, GL Accounts), ensuring alignment with data policies and privacy requirements.

We are seeking a skilled Data Analyst with expertise in Power BI and AI tools to join our dynamic team. In this role, you will be responsible for analyzing complex datasets, creating visually compelling reports and dashboards, and leveraging artificial intelligence to derive actionable insights. You will work closely with cross-functional teams to drive data-driven decision-making and improve operational efficiencies. Opportunity Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. We Offer A tailored onboarding and induction with access to a wide range of training schemes to help with your learning and development. Setting you up for success is important to us. An annual bonus based on company performance. Every colleague at Maersk has access to a fantastic range of wellbeing, mental health support and financial advice through our Employee Assistance Program. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. Whilst the role is advertised as full-time, we would be happy to discuss possible flexible working options and what that might look like for you. Job Summary: We are seeking a numbers-driven Data Analyst with strong proficiency in Power BI and Excel , as well as a solid understanding of AI tools to support our data-driven operations. In this role, you will analyze complex datasets, generate accurate operational reports, and deliver actionable insights that inform strategic and tactical decision-making across the organization. Key Responsibilities: Operational Reporting & Data Analysis: Collect, clean, and analyze large datasets from various sources to deliver actionable insights. Accurately understand and report on operational metrics and business performance , highlighting trends and anomalies. Create interactive and automated Power BI dashboards that visualize key performance indicators (KPIs) and support daily operational needs. Develop Excel-based reports for data exploration, quick analyses, and business reviews. Power BI & Analytical Tools Implementation: Design and implement Power BI solutions using Power Query, Power Pivot, and DAX. Collaborate with stakeholders to tailor reports and dashboards to business needs. Drive the adoption and usage of Power BI across departments by creating user-friendly and insightful visualizations. AI Tools & Advanced Analytics: Apply machine learning techniques and AI tools (e.g., Scikit-learn, Azure AI) to extract patterns and trends from datasets. Develop predictive models to support forecasting, customer behavior analysis, or performance optimization. Leverage AI capabilities to enhance data interpretation and automate insight generation. Cross-Functional Collaboration: Work with stakeholders from operations, marketing, finance, and other teams to translate business questions into analytical solutions . Provide strategic and operational support by delivering data in a format that is easy to understand and act on. Data Governance & Quality Control: Ensure data integrity and consistency through rigorous validation, cleansing, and quality checks. Maintain compliance with internal data governance and security standards. Continuous Improvement & Learning: Continuously refine reporting systems and tools to improve accuracy, usability, and performance. Stay up to date with developments in Power BI, Excel, AI tools, and industry best practices. Required Skills and Qualifications: Proven experience in data analysis and operational reporting. Proficient in Power BI (Power Query, DAX, Power Pivot) and Microsoft Excel (advanced formulas, pivot tables, lookups, etc.). Strong analytical mindset with attention to detail and accuracy in reporting. Skilled in working with large datasets and deriving meaningful insights. Experience in SQL for data extraction and transformation. Basic to intermediate knowledge of Python or R for data analysis (e.g., Pandas, NumPy, Seaborn). Effective communicator able to present data clearly to non-technical audiences. Team player with the ability to work cross-functionally and manage multiple priorities. Preferred Qualifications: Exposure to machine learning frameworks and predictive analytics. Understanding of data governance and data privacy principles. Key Success Metrics: Timely and accurate delivery of operational and business-critical reports. Clear and actionable data insights that drive process improvements and better decision-making. Enhanced adoption of Power BI and Excel-based reporting tools across business units.

Key Skills: Data privacy, Data Management, Product Management, Data Governance Roles and Responsibilities: Manage and maintain high-quality reference and pricing data across global financial hubs (APAC, HBEU, HBUS). Oversee vendor data feeds from platforms like Bloomberg and LSEG, ensuring accuracy and timely delivery. Ensure compliance with data privacy, governance, and internal audit requirements. Support product management activities by maintaining data accuracy, completeness, and consistency. Collaborate with stakeholders across business units, technology, and vendors to address data issues and implement solutions. Perform regular data quality checks and manage large-scale data modules with precision. Document processes and changes in alignment with governance and audit standards. Deliver data-related insights and reporting using advanced MS Office tools (Excel, PowerPoint, etc.). Work independently with a proactive approach to identify and resolve data issues. Skills Required: Should have prior experience of reference data (static and pricing) for major financial hubs i.e. APAC, HBEU & HBUS Excellent knowledge of basis vendor systems i.e. LSEG, Bloomberg etc. Stakeholder Management. Excellent communication skills - Written & Verbal Excellent interpersonal skills Attention to details & high level of accuracy. Work on own initiative Should possess excellent MS Office skills. Good eye for detail & experience in managing huge data modules. Documentation governance including supporting all audit related requirements. Should be able to work flexible hours (Night Shift/Rotation Shift) (E) Education: Bachelor's degree in related field

Job Summary We are seeking a highly skilled google dialog flow with 3 to 12 years of experience to join our team. The ideal candidate will have expertise in Google Dialog Flow ES and Google Dialog Flow CX. Experience in Data Governance is a plus. This is a hybrid role with day shifts and no travel required. The candidate will play a crucial role in developing and maintaining our conversational AI solutions ensuring they meet the highest standards of quality and performance. Responsibilities Develop and maintain conversational AI solutions using Google Dialog Flow ES and Google Dialog Flow CX Collaborate with cross-functional teams to design and implement new features Ensure the performance quality and responsiveness of applications Identify and correct bottlenecks and fix bugs Help maintain code quality organization and automation Provide technical guidance and mentorship to junior developers Participate in code reviews and ensure adherence to best practices Work closely with stakeholders to gather and refine requirements Develop and execute test plans to ensure the reliability of applications Stay updated with the latest industry trends and technologies Contribute to the continuous improvement of development processes Document technical specifications and project progress Ensure compliance with data governance standards and practices Qualifications Must have extensive experience with Google Dialog Flow ES and Google Dialog Flow CX Should have a strong understanding of conversational AI and natural language processing Experience in Data Governance is a plus Must possess excellent problem-solving skills Should have strong communication and collaboration abilities Must be proficient in software development best practices Should have experience with agile development methodologies Must be able to work independently and as part of a team Should have a strong attention to detail Must be able to manage multiple tasks and priorities Should have a proactive approach to learning and development Must have a bachelors degree in Computer Science or a related field Certifications Required Google Cloud Professional Cloud Architect Google Cloud Professional Data Engineer

Overview The team member will be part of Shared Service Data operations team focusing on Business Activity classification function with specialization in Digital Assets. MSCI Data team research and evaluate companies, instrument and other asset classes on multitude of different factors. The team will be in charge of providing classification of Digital Asset and related asset types as per Datonomy methodology and manage their upkeep in systematic way. The position provides exposure to full life cycle of digital asset initiation, classification, ongoing maintenance and its derived used in products across MSCI Index and other business units. Responsibilities The candidate will be member of highly skilled team that solves complex problems involving but not limited to the following: Part of the team to re-engineer the Digital Asset classification operations. Work with engineering team to design, build and test system. Build AI/LLM augmented QA, source transparency and governance controls into the process. Integrate unique digital asset identifier and ongoing universe management process. Will also be responsible to work on other business classification as part of the larger team including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, internal and client query management. Exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology etc. Perform in depth analysis of data, analytics and workflows in order to improve processes and/or develop new work tools in collaboration with Tech and Development teams Collaborating across a global organization to service both internal and external clients in a shared services environment Partnering with our product and coverage organization to service first-rate clientele including many of the world’s central banks, leading financial institutions, hedge funds, and corporations Qualifications Masters degree in Finance/Economics from premier institute (including equivalents CFA, CA, FRM) or engineering degree with a solid experience in finance 2-5 years of relevant experience (Associate) / 5-7 years of relevant experience (Senior Associate) Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments) Excellent communication skills (both written and presentation), ability to work in multi-cultural environment Self-starter and drive to work in individual capacity with minimum oversight Solid background in Excel and Working knowledge of SQL Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.) and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be added advantage. Desired Experience Exposure to content/research work in Alternate Asset class, especially digital assets will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.) Exposure to different work shifts and schedules (but No US night shift) What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/ As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies Overview We re seeking AI Engineers to help design, build, and deploy next-gen AI solutions across Mercer s global ecosystem. You will work on Generative AI, RAG pipelines, and AI agents that power internal tools, chatbots, and decision-support systems used by our consultants. This hands-on engineering role bridges full-stack software development and advanced AI techniques. Design and implement AI-driven applications , copilots, and conversational agents using LLMs (OpenAI, Anthropic, Azure OpenAI). Build and maintain RAG pipelines using text chunking

Job Description: The Wolters Kluwer Digital Experience Group creates products and solutions with Wolters Kluwer businesses around the globe to serve professionals in the Legal, Tax, Heath, ESG, Finance and Compliance sectors. This wide and growing array of solutions supports Wolters Kluwer businesses in building and expanding their online product portfolios. The Digital Experience Group (DXG) provides global leverage of industry and customer insight, driving technology capabilities for local product development. Do you want to use your skills and experience to make a meaningful impact to provide expert solutions in a diverse set of professional domains: healthcare, compliance, legal and regulatory and tax and accounting? Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally-driven provider of professional software, online expert content and integrated workflow products. A unique combination of experts, content and data provide the ingredients to create expert solutions based on advanced technologies especially cognitive technologies. Collaborating with product visionaries and experts in healthcare, compliance, legal and tax you will guide advanced solutions that tackle some of the most challenging problems our customers face. Were looking for an Ontology Specialist / Knowledge Engineer who is passionate about delivering the next generation of digital products. You are willing to work with subject matter experts, product leaders, customers and developers to create knowledge organization systems (e.g. vocabularies, taxonomies, etc.) that guides the user experience. Reporting to the Ontology/Knowledge Engineering Manager, this role is part of a centralized function within the Digital Experience Group (DXG) a team supporting a suite of Content Technology tools and services used by the product and content teams in each division. Responsibilities: Support the design and implementation of ontology-driven knowledge frameworks to support AI, search, and content retrieval systems. Develop and maintain taxonomies, knowledge graphs, ontologies, and metadata models , ensuring scalability and alignment with business goals. Ensure adherence to data governance, compliance, and privacy standards , particularly in the use of AI-driven systems. Establish and maintain best practices for ontology versioning, data integration, and knowledge updates , leveraging FAIR and the corporate ontology principles Work closely with teams across Wolters Kluwer to develop data models, focusing on conceptual, logical, and physical models for knowledge representation. Communicate effectively with collaborators from a variety of domain expertise and technical experience; able to clearly describe ontologies, models, and knowledge frameworks, as well ask about requirements, the job to be done, and other clarifying questions Monitor trends in knowledge engineering that can apply to current / future solutions Experience: Bachelors degree in computer science, library science, linguistic or related experience Has 1+ years experience developing or using knowledge organization systems; such controlled vocabularies, taxonomies Has 1+ years experience developing or using knowledge models based on W3C standards (RDF, OWL, SKOS, etc.) Has 1+ years experience integrating ontologies; such as Dublin Core, FRBR, FOAF, etc. Has 1+ years experience integrating linked data sets in application Strong written and oral communication and presentation skills Abstract thinker with the ability to conceptualize or generalize, and apply the corporate knowledge model to solve business problems in different domains Experience in adoption of knowledge models to the legal, accounting or health domains is desirable

Wissen Technology is Hiring fo r Business Analyst Data Governance - Private About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for a highly motivated Business Analyst Data Governance to join the Data & Analytics Group (DAG) at Wissen Technology. In this role, you will be responsible for driving data governance initiatives across private investment domains, ensuring high-quality, traceable, and well-managed data across the organization. Experience : 4 -1 2 Years Location: Gurugram. Key Responsibilities Review and resolve data quality issues within Investment Management (IM) data architecture. Drive the implementation of data governance frameworks as part of ongoing projects. Collaborate with data owners and cross-functional teams to identify and address root causes of data issues. Manage the onboarding of data from various internal and external sources into central repositories. Define and implement data quality rules in collaboration with stakeholders and IT teams. Analyze business processes and data flows to identify and implement productivity enhancements. Document business requirements and data-related use cases. Oversee change control processes and support UAT activities. Proactively identify and escalate data issues. Support broader Data & Analytics Group (DAG) initiatives. Required Skills: Strong collaboration skills with both business and technology teams. Proficient in data analysis and tracing data lineage across systems. Experience working across complex organizational structures and virtual teams. Self-starter with strong problem-solving, multitasking, and prioritization abilities. Ability to work independently while contributing effectively in team settings. Excellent communication and stakeholder management skills. Key Qualifications: Strong domain knowledge in investment banking and financial data. 4-12 years of experience in financial services or investment/asset management. Hands-on experience with SQL for data analysis and profiling. Familiarity with coding (Python is a plus). Experience with BI tools like Tableau and Power BI is preferred. The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was

Principal Data Solution Architect (Band: P2) Job Overview: We are seeking a skilled Data Solution Architect to design Solution and Lead the implementation on multiple cloud Environment. The ideal candidate will possess extensive experience in data Architecting, Solution design and data management practices and have implementing experience in any 2 hyper scalar environments.Responsibilities: Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions.Develop high-level and detailed data architecture and design documentation. Implement data management and data governance strategies, ensuring compliance with industry standards. Architect both batch and real-time data solutions, leveraging cloud native services and technologies. Design and manage data pipeline processes for historic data migration and data integration. Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables. Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies. Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively. Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques. Requirements Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments. Experience with any 2 of GCP/AWS/Azure is must Experience, knowledge on Cloud services for Data Loading, Data Migration and data Curation Experience in Cloud native Serverless SQL is must. Must have common understanding about difference Cloud providers comparative services and cost implication Exposure to new age Data processing tool like dbt/fivetran/mattelion is preferred Strong expertise in data exploration using SQL and a deep understanding of data relationships. Extensive knowledge and implementation experience in data management, governance, and security frameworks. Proven experience in creating high-level and detailed data architecture and design documentation. Strong aptitude for business analysis to understand domain data requirements. Proficiency in Data Modelling using any Modelling tool for Conceptual, Logical, and Physical models is preferred Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs. Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions. Familiarity with Data Fabric and Data Mesh architecture is a plus. Excellent verbal and written communication skills.

Not Applicable Specialism SAP Management Level Senior Associate & Summary We are seeking a talented and experienced Azure Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining data pipelines and solutions on the Microsoft Azure platform. You will play a pivotal role in ensuring the smooth operation and efficiency of our data infrastructure, enabling datadriven decision making across the organization. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Design, develop, and implement robust and scalable data pipelines using Azure services such as Azure Data Factory, Azure Databricks, Azure Cosmos DB, Azure SQL Database, and other relevant services. Develop and maintain data models, schema, and data quality processes. Collaborate with stakeholders to define and understand data requirements. Develop and implement data governance policies and procedures. Troubleshoot and resolve datarelated issues and performance bottlenecks. Stay uptodate on the latest Azure technologies and best practices. Contribute to the development and maintenance of documentation and technical standards. Participate in code reviews and provide technical guidance to team members. Mandatory skill sets Spark framework, PySpark, Azure Databricks, Azure SQL Database, ADF, Storage Account, Azure Data Explorer Preferred skill sets Trino, Apache Airflow Years of experience required 4 to 8 years Education qualification Bachelors degree in computer science, engineering, or a related field. Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Databricks, Microsoft Azure Data Explorer, PySpark Optional Skills Apache Web Server No

What you ll do Works in Data and Analytics under the close supervision of the team manager or senior associates Leverage coding best practices to ensure efficient execution of code against large datasets Run standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders Leverage knowledge of data structures to prepare data for ingestion efforts analysis, assembling data from disparate data sources for the creation of insights Integrate Equifax, customer and third party data to solve basic internal or customer analytical problems and report findings to managers and internal stakeholders Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures Supports discussion on impact and importance of findings on the business (either Equifax or external customer) Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals What experience you need BS degree in a STEM major or equivalent discipline Cloud certification strongly preferred Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker What could set you apart Cloud certification such as GCP strongly preferred Self Starter Excellent communicator / Client Facing Ability to work in fast paced environment Flexibility work across A/NZ time zones based on project needs Primary Location: IND-Pune-Equifax Analytics-PEC Function: Function - Data and Analytics Schedule: Full time

Position Details: Junior AI Engineer (Data Engineer) Location: -, Tamil nadu Openings: 1 Salary Range: Description: Job Title: Junior AI Engineer / Data Engineer Location: Chennai Reports To: Senior AI Engineer / Data Architect Job Summary: This role is ideal for an early-career engineer eager to develop robust data pipelines and support AI/ML model development. The Junior AI Engineer will primarily focus on data preparation, transformation, and infrastructure to support scalable AI systems. Key Responsibilities: Build and maintain ETL pipelines for AI applications. Assist in data wrangling, cleaning, and feature engineering. Support data scientists and AI engineers with curated, high-quality datasets. Contribute to data governance and documentation. Collaborate on proof-of-concepts and prototypes of AI solutions. Required Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2+ years of experience in data engineering. Proficient in Python, SQL; exposure to Azure platform is a plus. Basic understanding of AL/ML concepts.

About the Team: - The team is responsible for managing all the reporting activities to the Senior Management, Limited Partners, and other regulatory reporting. The role will require working closely with the Investor Product Strategy and Valuations team in New York. It has 3 major functions: - 1. Data Collection & Governance: - Collecting the required data from the Portfolio companies, scrubbing the data, and uploading the same to the firms portfolio monitoring system. 2. Data Reporting: - Majorly responsible for the regular reporting needs of the LPs, Sr. Mgmt., etc. 3. Data Analysis: - Handle any substantive analytics and ad-hoc requests. Key Responsibilities: - • Develop a good understanding of the investment strategies for Private Equity, Tactical Opportunity, Life Sciences, Infra, Energy, and Growth funds. • Review the reporting packages like Fund Track Records, Deal Attributes, Valuation Bridges, Portfolio Summaries, etc. • Review the below quarterly activities by adhering to the deadlines: - New and ongoing Due Diligence Questionnaires. LP Requests, Valuation Memos, and Other quarterly Presentation Materials/Reports. Qvidian library upload and maintenance. • Run monthly/quarterly reports for LPs (Memos, Bridges, One-Pagers, etc.), Corporates (DRPs, SOX reports, Publics Schedule, etc.) & Internal stakeholders (KPI Dashboards, Portfolio Watchlist, Valuation Summaries, etc.) • Gross and Net cashflow reporting across all the funds. • Preparing Ad-Hoc reports/dashboards as per managements requirement. • Monitoring the deal portfolio through data collection and reconciliation. • Calculation of fund performance metrics like IRR, MOIC, etc. • Preparing the process documentation and creation of SOPs. • Identify process gaps and initiate process improvement projects. Desired Candidate Profile: - • Candidate must be a Postgraduate in finance with 2 - 4 years of relevant experience in various private equity concepts, fee structures, and performing end-to-end business valuations. • Basic conceptual knowledge of various valuation techniques like DCFs, Comparable Company Analysis, etc. • Should have very good working knowledge of Answering Due Diligence Questionnaires and Other Fund/Investment level reporting like Valuation reporting, LP reporting. • Strong Microsoft Office skills (MS Excel, MS PowerPoint, and MS Word). • Experience in iLevel, 73Strings, Tableau, Snowflake or any data reporting/analysis software is advantageous. • The ability to effectively work as an individual contributor and possess strong analytical, problem-solving, critical thinking, and decision-making skills, multitask, and deliver under tight deadlines. • The profile involves effective communication across clients facilities globally and hence possessing excellent interpersonal and communication skills in verbal and written English is a must. • A desire to work in an international team environment, often under pressure and with multiple stakeholders.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore/Hyderabad Below are the roles and associated skills we are looking for: Azure Data Engineer Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Proficient in SQL for ETL Experience in the use of tools for ETL Scheduling / Automation and Power BI. Proficient in Data standardization and cleanup, ensure data integrity and diagnostic Strong in Database schema design and normalization Knowledge of cloud-based systems (Azure) for data warehouse building Intermediate knowledge of Python for data cleanup and transformation Knowledge of data documentation and exception/error handling and remediation Ability to build / test / deploy APIs to ingest data from internal and external databases Proficient in JSON, XML and text formats to ingest, parse, transform and load databases Preferred minimum 7+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Data Governance.Experience5-8 Years.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Data Governance.

Role Purpose The purpose of this role is to design the organisations computer and network security infrastructure and protect its systems and sensitive information from cyber threats Do 1. Design and develop enterprise cyber security strategy and architecture a. Understand security requirements by evaluating business strategies and conducting system security vulnerability and risk analyses b. Identify risks associated with business processes, operations, information security programs and technology projects c. Identify and communicate current and emerging security threats and design security architecture elements to mitigate threats as they emerge d. Identify security design gaps in existing and proposed architectures and recommend changes or enhancements e. Provide product best fit analysis to ensure end to end security covering different faucets of architecture e.g. Layered security, Zoning, Integration aspects, API, Endpoint security, Data security, Compliance and regulations f. Demonstrate experience in doing security assessment against NIST Frameworks, SANS, CIS, etc. g. Provide support during technical deployment, configuration, integration and administration of security technologies h. Demonstrate experience around ITIL or Key process-oriented domains like incident management, configuration management, change management, problem management etc. i. Provide assistance for disaster recovery in the event of any security breaches, attacks, intrusions and unusual, unauthorized or illegal activity j. Provide solution of RFPs received from clients and ensure overall design assurance i. Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications, hardware related to cyber risk security in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture iii. Depending on the clients need with particular standards and technology stacks create complete RFPs iv. Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology v. Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions vi. Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps vii. Evaluate and recommend solutions to integrate with overall technology ecosystem viii. Tracks industry and application trends and relates these to planning current and future IT needs 2. Stakeholder coordination & audit assistance a. Liaise with stakeholders in relation to cyber security issues and provide timely support and future recommendations b. Provide assistance in maintaining an information security risk register and help with internal and external audits relating to information security c. Support audit of security best practices and implementation of security principles across the organization, to meet business goals along with customer and regulatory requirements d. Assist with the creation, maintenance and delivery of cyber security awareness training to team members and customers e. Provide training to employees on issues such as spam and unwanted or malicious emails Deliver No Performance Parameter Measure 1 Customer centricity Timely security breach solutioning to end users, Internal stakeholders & external customers experience, CSAT, educating and suggesting right control to the customers. 2 Support sales team to create wins % of proposals with Quality Index 7, timely support of the proposals, identifying opportunities/ leads to sell services within/ outside account (lead generation), no. of proposals led Mandatory Skills: SailPoint Identity Mgmt and Governance.

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 : Stibo Product Master Data Management Good to have skills : NAMinimum 3 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 stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated on industry trends and best practices to enhance application performance and user experience. 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.- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.- Mentor junior team members, providing guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Stibo Product Master Data Management.- Strong understanding of data governance principles and practices.- Experience with application design and architecture.- Ability to analyze and optimize application performance.- Familiarity with integration techniques and tools for data management. Additional Information:- The candidate should have minimum 3 years of experience in Stibo Product Master Data Management.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education