5152 Sas Jobs - Page 27

Job Summary Strategy Responsible to manage Regulatory reporting function and its deliverables in accordance with Regulatory requirements and provider greater insights across all Capital metrics submitted to the stakeholders. Work across Group, Country, Business and Change teams with an aim to improve accuracy of reporting and drive initiatives to optimize Capital and RWA thereby contributing to improve Group RoTE. Business Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. Understanding of Moody's reporting platforms is an advantage. SAS and/or Python knowledge is an added benefit. Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirement Processes Ensure the operational efficiency, accuracy and completeness of the reports are monitored with appropriate KPIs. Establish robust control and governance on the reporting process including the requirements to manage report quality and operational control. This includes expected data quality monitoring required in the reporting standards for regulatory reporting. Continuously strive for process improvement with standardisation, simplification and automation. People & Talent Collaborate with various teams to resolve Capital issues; transition changes into BAU efficiently that is aligned with the regulatory and bank’s technology objectives. Build relationships to improve collaboration across Change, Technology and Business teams to implement changes into Capital CoE Key Responsibilities Risk Management Candidate needs to be able to articulate the Capital metrics and drive the discussion with Senior stakeholders across Finance, Risk, Treasury and Business to meet the requirements. Provide Consultation/Support in dealing with business queries relating to Capital metrics , all other internal and external capital regulatory reports Governance Monitor and ensure that appropriate Change governance is followed across all transformation initiatives. Represent the function at the governance forums in place for tracking change initiatives and influence decisions in respect of the change backlog, prioritisation, choice of technology tools and the operating model. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead to achieve the outcomes set out in the Bank’s Conduct Principles. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters Key stakeholders GPO/GPM, Capital CoE Group Regulatory Reporting – Head and Reporting Leads Credit and Market Risk functions – Functional Heads and Leads Capital Technology and PSS – Head and Leads across PSS and Technology Capital Change Management - Head and Leads across Capital Change Country Regulatory Reporting – CFO, Financial Controller and Country Leads Qualifications MBA (Fin) or Master’s in finance / Accountancy / Economics or affiliated subjects; Undergraduate degree in Science / Engineering / Commerce. Chartered Accountant: Risk Management or related Professional Certification will be an added advantage. Minimum of 14 years of Capital Regulatory Reporting. Strong knowledge of Capital regulations and metrics; Proficient in analytics to drive deep understanding of Capital; Collaboration mindset; able to deliver solutions to improve BAU. Skills And Experience Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. SAS and/or Python knowledge is an added benefit Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirements Stakeholder engagement (across geographies) People leadership and management Technical skills like Advanced Excel (including macro) and Python / R Knowledge on Balance Sheet Management systems like Moody’s, Oracle, QRM About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Key Responsibilities: 27165 Design and develop robust ETL pipelines to integrate data from various systems using SSIS Build and manage Power BI dashboards, SSRS reports, and data visualizations Maintain and optimize SQL Server databases, queries, and stored procedures Collaborate with stakeholders to gather requirements and translate them into actionable data models Support and maintain data warehouse architecture and data marts Conduct data profiling and validation to ensure quality, consistency, and security Manage data catalogs and dictionaries for better data governance Assist in solution design sessions and participate in architectural discussions Work closely with analysts and business users to support adoption of BI tools and insights Deliver results in an agile DevOps culture and continuously improve performance and scalability Must-Have Skills ✅ 3+ Years of experience with: SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) SQL Server Analysis Services (SSAS) ✅ 4+ Years of experience with: SQL Server Databases Data modeling and integration ✅ 2+ Years of experience with: Microsoft Business Intelligence Stack (MSBI) ✅ Experience building reports in Power BI or similar BI tools (Tableau, Qlik, MicroStrategy) ✅ Hands-on experience in data warehouse design and operations ✅ Strong command of MS Excel , performance tuning, and troubleshooting ✅ Excellent communication and documentation skills Nice To Haves ⭐ Experience with: Power BI Cloud Service Azure, AWS, Snowflake or other cloud platforms Advanced analytics tools like Python, R, or SAS CI/CD pipeline development in a DevOps setup Power BI Report Server setup and management Working in data lake or reference data environments Skills: business intelligence,databases,documentation,power bi,troubleshooting,sql server integration services (ssis),devops,sql server analysis services (ssas),sql server,communication,data warehouse,ms excel,sql server databases,sql server reporting services (ssrs),performance tuning,design,data,sql,data modeling and integration,cloud,data warehouse design and operations,microsoft business intelligence stack (msbi)

Job Position: Manager- Audit Primary Responsibilities: Candidate must be capable of handling audit engagements including pre-audit scoping and preparation, identifying audit risks, performing preliminary evaluation of client’s internal control structure, conducting audit execution and concluding deliverables with direct reporting to partner. He shall be responsible with the planning and administration of audit assignments, enabling completion to a high standard within agreed timetable, maintaining proper audit documentation and managing a team. He must be motivated to perform; committed to effective client service; and quality of work should meet professional standards. He is also expected to handle and manage clients independently for assurance division under supervision of partner directly. Candidate must be open to travelling. Required Skills: To be tailor-fit for the above skillsets, you need to have, Expert knowledge of business processes, accounting, reporting and audit methodology Expert knowledge and application of accounting standards, Indian Accounting Standards (Ind-AS) and SAs under Indian GAAP Awareness of reporting under IFRS and other GAAPs as may be required for the group reporting for various entities. Awareness of direct and indirect taxes Expert knowledge of corporate laws Excellent team management and client handling experience Exposure to ERP environment (Tally and SAP) Strong communication, with good command on English language Qualification – CA Experience – 2 to 4 Yrs Location – Paschim Vihar

Job Role: Candidate should know end to end working and functioning of payment products viz. IMPS, UPI, RTGS, NEFT and cards and have demonstrated building analytics driven solutions to prevent frauds Knowledge of Fraud management platforms is preferred Responsible to Review Fraud trends across Digital and Cards payments and Implement Rules to detect and prevent frauds Working knowledge of rule writing in FRMs like Falcon and Clari5 is required Candidate has demonstrated experience in building credit risk models for Credit Cards using various Statistical models and Machine Learning models -Coding knowledge on Hadoop environment is added advantage Should be able to work in minimum supervision Skills required: Building predictive Models/Machine Learning models and managing big data using Python and SAS is must Education : M. Tech/B. Tech/Statistics degree is mandatory Presentation: Good written and verbal communication skills Prior experience in Analytics with BFSI for 2-3 years is a must Hands -on experience on following methods and techniques is required as role involves working with both structure and unstructured data Ø Network Analysis(Graph theory) Ø Link Analysis ( Market Basket/Sequence Analysis) Ø Text mining & NLP Ø Regressions ( eg. Logistic ) Ø Classification methods (Decision Tree, Neural Networks, KNN, SVM) Ø Anomaly detection methods

Inviting applications for the role of Senior Principal Consultant, Data Scientist for one of our Client (MNC) In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Full cycle experience desirable in at least 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Collaborate with service line teams to design, implement and manage Gen-AI solution Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Works closely with service line teams to design, implement, and manage Generative AI solutions Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms Familiarity with Generative AI technologies, Design and Implement GenAI Solutions Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus GenAI Tools Certifications in AI/ML or GenAI Methodology Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 GenAI AI/ML Tools Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras, Torch, Theano Certifications in AI/ML or GenAI Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills

ICRA Analytics Ltd, a wholly owned subsidiary of ICRA Ltd and an affiliate of Moody’s Investors Service, is a premier provider of risk management, data analytics, and consulting services. We operate from Mumbai, NCR, Kolkata, and Chennai, offering innovative solutions to domestic and global clients. We specialize in automated data management, risk assessment, consulting, and analytics across various financial sectors. Why Join Us? • Industry Leader: Collaborate with a team recognized for excellence and innovation in the financial sector. • Career Growth: Engage in challenging projects that foster professional growth and learning. • Cutting-Edge Technology: Work with advanced technologies and tools to drive business solutions. • Collaborative Environment: Be part of a diverse team committed to delivering high-quality outcomes. Position : BFS Risk Solution & Analytics (ECL) • Location: Mumbai • Experience: 6-12 Years • Reporting to: Head of Banking & Financial Services (Risk Solutions & Analytics) • Education: MBA/PGDM, FRM (optional) Role Summary: We are seeking a highly skilled Senior Credit Risk Professional to lead our credit risk management projects. This role involves overseeing the implementation of IFRS 9 models, managing credit risk projects, validating policies and models, and providing strategic guidance on risk management. Key Responsibilities: • IFRS 9 Implementation: Lead the implementation of IFRS 9 models in compliance with RBI guidelines. • Project Management: Oversee credit risk projects, ensuring timely and efficient execution. • Model Validation: Validate credit policies and models for accuracy and regulatory compliance. • Risk Strategies: Develop and enhance statistical models for ECL, PD, LGD, and EAD. • Industry Insights: Stay updated with industry trends and incorporate best practices into strategies. • Team Leadership: Mentor junior team members and foster a culture of continuous learning. • Process Improvement: Create and circulate SOPs, develop new methods to enhance efficiency and reduce costs. • Client Communication: Articulate issues and provide solutions clearly to clients and senior analysts both verbally and in writing. Preferred Skills and Qualifications: • Project Management: Proven ability to manage complex projects and cross-functional teams. • Communication: Excellent skills in presenting complex information clearly. • Certifications: FRM or related certifications are advantageous. Technical Expertise: • IFRS 9 Models: Hands-on experience with IFRS 9 implementation and RBI regulations. • Credit Risk Modeling: Proficiency in ECL calculations and statistical analysis using SAS, R, or Python. • Risk Assessment: Expertise in assessing and mitigating credit risk. • Financial Modeling: Advanced skills in financial modeling and forecasting. • Regulatory Compliance: Deep understanding of RBI guidelines and credit risk regulations. • Data Management: Proficiency in data extraction and analysis to support risk modeling.

Job Description Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi's Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients and the publics trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all. The Operations MIS team focuses on creating reports, dashboards, and performance metrics to provide actionable insights for various business functions, including USPB WFM & Customer Service and Wealth Ops MIS. They are responsible for building and maintaining datamarts, migrating legacy BI tools to modern platforms like Tableau, and automating data refreshes for dashboards. Projects include tracking ATM availability and performance, managing service tickets, and upgrading software for uninterrupted service. They aim to empower business stakeholders with accurate and timely information for strategic decision-making. Their work also supports capacity planning and issue remediation efforts. The Business Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. In this role, you're expected to: Gathers operational data from various cross functional stakeholders to examine past business performance Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc. Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies. May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. As a successful candidate, should ideally have the following skills and exposure: Exp: 3+ yrs Data Warehousing & BI Tools: Strong understanding of data warehousing concepts, ETL processes, and experience working with Business Intelligence platforms (e.g., Tableau, Power BI). Reporting & Dashboard Development: Proficiency in developing reports, dashboards, and performance metrics using reporting tools and data visualization techniques. Ability to create clear and concise visualizations of key data. Data Management & SQL: Expertise in data management principles, SQL programming for data extraction and manipulation, and database management systems. Communication & Stakeholder Management: Ability to effectively communicate technical information to non-technical stakeholders and collaborate with business partners to understand reporting requirements. Automation & Scripting: Experience with scripting languages (e.g., Python) and automation tools (e.g., SSIS) for automating report generation, data refreshes, and other routine tasks. Education: Bachelors/University degree or equivalent experience Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Summary Strategy Responsible to manage Regulatory reporting function and its deliverables in accordance with Regulatory requirements and provider greater insights across all Capital metrics submitted to the stakeholders. Work across Group, Country, Business and Change teams with an aim to improve accuracy of reporting and drive initiatives to optimize Capital and RWA thereby contributing to improve Group RoTE. Business Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. Understanding of Moody's reporting platforms is an advantage. SAS and/or Python knowledge is an added benefit. Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirements Processes Ensure the operational efficiency, accuracy and completeness of the reports are monitored with appropriate KPIs. Establish robust control and governance on the reporting process including the requirements to manage report quality and operational control. This includes expected data quality monitoring required in the reporting standards for regulatory reporting. Continuously strive for process improvement with standardisation, simplification and automation. Key Responsibilities People & Talent Collaborate with various teams to resolve Capital issues; transition changes into BAU efficiently that is aligned with the regulatory and bank’s technology objectives. Build relationships to improve collaboration across Change, Technology and Business teams to implement changes into Capital CoE Risk Management Candidate needs to be able to articulate the Capital metrics and drive the discussion with Senior stakeholders across Finance, Risk, Treasury and Business to meet the requirements. Provide Consultation/Support in dealing with business queries relating to Capital metrics , all other internal and external capital regulatory reports Governance Monitor and ensure that appropriate Change governance is followed across all transformation initiatives. Represent the function at the governance forums in place for tracking change initiatives and influence decisions in respect of the change backlog, prioritisation, choice of technology tools and the operating model. Skills And Experience Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders GPO/GPM, Capital CoE Group Regulatory Reporting – Head and Reporting Leads Credit and Market Risk functions – Functional Heads and Leads Capital Technology and PSS – Head and Leads across PSS and Technology Capital Change Management - Head and Leads across Capital Change Country Regulatory Reporting – CFO, Financial Controller and Country Leads Other Responsibilities Embed Here for good and Group’s brand and values in ; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats). Qualifications MBA (Fin) or Master’s in finance / Accountancy / Economics or affiliated subjects; Undergraduate degree in Science / Engineering / Commerce. Chartered Accountant: Risk Management or related Professional Certification will be an added advantage. Minimum of 14 years of Capital Regulatory Reporting. Strong knowledge of Capital regulations and metrics; Proficient in analytics to drive deep understanding of Capital; Collaboration mindset; able to deliver solutions to improve BAU. Skills And Competencies Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. SAS and/or Python knowledge is an added benefit Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirements Stakeholder engagement (across geographies) People leadership and management Technical skills like Advanced Excel (including macro) and Python / R Knowledge on Balance Sheet Management systems like Moody’s, Oracle, QRM About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Job Summary Strategy Responsible to manage Regulatory reporting function and its deliverables in accordance with Regulatory requirements and provider greater insights across all Capital metrics submitted to the stakeholders. Work across Group, Country, Business and Change teams with an aim to improve accuracy of reporting and drive initiatives to optimize Capital and RWA thereby contributing to improve Group RoTE. Business Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. Understanding of Moody's reporting platforms is an advantage. SAS and/or Python knowledge is an added benefit. Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirements. Processes Ensure the operational efficiency, accuracy and completeness of the reports are monitored with appropriate KPIs. Establish robust control and governance on the reporting process including the requirements to manage report quality and operational control. This includes expected data quality monitoring required in the reporting standards for regulatory reporting. Continuously strive for process improvement with standardisation, simplification and automation. People & Talent Collaborate with various teams to resolve Capital issues; transition changes into BAU efficiently that is aligned with the regulatory and bank’s technology objectives. Build relationships to improve collaboration across Change, Technology and Business teams to implement changes into Capital CoE Risk Management Candidate needs to be able to articulate the Capital metrics and drive the discussion with Senior stakeholders across Finance, Risk, Treasury and Business to meet the requirements. Provide Consultation/Support in dealing with business queries relating to Capital metrics , all other internal and external capital regulatory reports Key Responsibilities Governance Monitor and ensure that appropriate Change governance is followed across all transformation initiatives. Represent the function at the governance forums in place for tracking change initiatives and influence decisions in respect of the change backlog, prioritisation, choice of technology tools and the operating model. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Serve as a Director of the Board Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders GPO/GPM, Capital CoE Group Regulatory Reporting – Head and Reporting Leads Credit and Market Risk functions – Functional Heads and Leads Capital Technology and PSS – Head and Leads across PSS and Technology Capital Change Management - Head and Leads across Capital Change Country Regulatory Reporting – CFO, Financial Controller and Country Leads Skills And Experience Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. SAS and/or Python knowledge is an added benefit Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirements Stakeholder engagement (across geographies) People leadership and management Technical skills like Advanced Excel (including macro) and Python / R Knowledge on Balance Sheet Management systems like Moody’s, Oracle, QRM Qualifications MBA (Fin) or Master’s in finance / Accountancy / Economics or affiliated subjects; Undergraduate degree in Science / Engineering / Commerce. Chartered Accountant: Risk Management or related Professional Certification will be an added advantage. Minimum of 14 years of Capital Regulatory Reporting. Strong knowledge of Capital regulations and metrics; Proficient in analytics to drive deep understanding of Capital; Collaboration mindset; able to deliver solutions to improve BAU. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Job Summary Strategy Responsible to manage Regulatory reporting function and its deliverables in accordance with Regulatory requirements and provider greater insights across all Capital metrics submitted to the stakeholders. Work across Group, Country, Business and Change teams with an aim to improve accuracy of reporting and drive initiatives to optimize Capital and RWA thereby contributing to improve Group RoTE. Business Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. Understanding of Moody's reporting platforms is an advantage. SAS and/or Python knowledge is an added benefit. Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirements Processes Ensure the operational efficiency, accuracy and completeness of the reports are monitored with appropriate KPIs. Establish robust control and governance on the reporting process including the requirements to manage report quality and operational control. This includes expected data quality monitoring required in the reporting standards for regulatory reporting. Continuously strive for process improvement with standardisation, simplification and automation. People & Talent Collaborate with various teams to resolve Capital issues; transition changes into BAU efficiently that is aligned with the regulatory and bank’s technology objectives. Build relationships to improve collaboration across Change, Technology and Business teams to implement changes into Capital CoE Risk Management Candidate needs to be able to articulate the Capital metrics and drive the discussion with Senior stakeholders across Finance, Risk, Treasury and Business to meet the requirements. Provide Consultation/Support in dealing with business queries relating to Capital metrics , all other internal and external capital regulatory reports Governance Monitor and ensure that appropriate Change governance is followed across all transformation initiatives. Represent the function at the governance forums in place for tracking change initiatives and influence decisions in respect of the change backlog, prioritisation, choice of technology tools and the operating model. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders GPO/GPM, Capital CoE Group Regulatory Reporting – Head and Reporting Leads Credit and Market Risk functions – Functional Heads and Leads Capital Technology and PSS – Head and Leads across PSS and Technology Capital Change Management - Head and Leads across Capital Change Country Regulatory Reporting – CFO, Financial Controller and Country Leads Other Responsibilities Embed Here for good and Group’s brand and values in XXXX [country / business unit / team]; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); [List all responsibilities associated with the role] Skills And Experience Strong functional content across Basel framework (Basel II, III and IV); Capital metrics computation and methodologies, with key drivers Good understanding on Banking Products and able to co-relate to Risk Weighted Assets / Regulatory Reporting Candidate must be familiar with the use of SQL to interrogate and extract the data for analysis. SAS and/or Python knowledge is an added benefit Candidate must be familiar with regulatory requirements for data management - BCBS 239 and PRA requirements Stakeholder engagement (across geographies) People leadership and management Technical skills like Advanced Excel (including macro) and Python / R Knowledge on Balance Sheet Management systems like Moody’s, Oracle, QRM Qualifications MBA (Fin) or Master’s in finance / Accountancy / Economics or affiliated subjects; Undergraduate degree in Science / Engineering / Commerce. Chartered Accountant: Risk Management or related Professional Certification will be an added advantage. Minimum of 14 years of Capital Regulatory Reporting. Strong knowledge of Capital regulations and metrics; Proficient in analytics to drive deep understanding of Capital; Collaboration mindset; able to deliver solutions to improve BAU About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Product Data Steward Job Description: About us: Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: Personal Banking & Wealth Data team manages the implementation of best-in-class data quality measurement programs across globe in personal banking and wealth management business and offers enterprise level data management solutions. Currently we are looking for SME’s who can lead data ownership program. Data Steward is responsible for Executing data strategies for target state and defining data controls throughout data life cycle Defining enterprise level data domains, taxonomy and data classification Defining data steward procedures and enforcing data standards. Developing data access controls, reviewing data usage, sharing and defining purpose of data Identifying critical data elements and define data ownership (Technical/Business etc) Reviewing data concerns and leading data remediation strategy Certifying data based on fit for purpose and ensuring data meets the data consumer requirements. Ensuring all data is compliance with Global and local laws and regulations as applicable. Collaborate with data owners in implementation of data governance policies and data operating model Expertise required: Collating and reviewing data requirements ( specific details - complete, timeliness and accuracy specifications) from data consumers Reviewing existing data controls and recommending additional controls as per data strategy. Ability to understand meta data – lineage, definitions and trusted data sources Ability to search and consolidate critical data elements information in meta data tools Reviewing meta data and highlighting gaps in meta data Performing RCA on Data Concerns and identify solutions Drive remediation strategy and collaborate with technology/ data owners Tracking KPI’s progress for critical milestones Documentation of in scope/out of scope of data requirements for use cases Tools and Platforms Proficient in MS Excel, PowerPoint , Visualization tools SAS or SQL Domain Skills Good understanding of Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.) Audit Framework Data quality & Governance framework Meta data management Risk & control Metrics (Preferred) - Knowledge of Finance Regulations, Understanding of Audit Process Nice to Have Skills: Exposure to BI tools and technologies – example: Tableau or Cognos or SAS BI or Qlikview, etc. Automation and process re-engineering / optimization skills Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the senior management or partners in a structured and simpler form Should have excellent communication and inter-personal skills Mentoring junior members in the team Ability to work well across multiple functional areas Ability to thrive in a dynamic and fast-paced environment Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Proactive approach in solving problems and eye for details A strong team player Educational and Experience: MBA / Masters Degree in Economics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications 5 to 8 years of hands on experience in delivering Data Governance solutions, with at least 2 year’s experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About The Job Our Team: Sanofi Global Hub is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Global Hub strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main Responsibilities The Biostatistician will work with Medical Affairs biostatisticians and Sanofi Global Hub biostatistics and programming personnel to implement statistical analysis plans and provide QC’d data packages including tables, figures, and listings for use in publications (i.e. abstracts, posters, oral, presentations, and manuscripts); The Biostatistician will ensure SOPs are followed and timelines and quality metrics are met. People Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and programming team members within the allocated Global business unit and product – with an objective to develop statistical data outputs. Performance / Process Conduct appropriate post-hoc statistical analyses of clinical trial data. Design, develop, test, implement, and document statistical programming in high-level software packages e.g. SAS. Produce well documented data packages that include tables, listings, and figures. Closely follow QC plans and timelines set by senior members of the Sanofi Global Hub biostatistics and programming team. Review appropriate biomedical and clinical research literature related to assigned project(s). Customer Work closely with Global Medical Affairs biostatisticians to identify statistical analysis needs and assist in developing assigned deliverables. About You Experience : Master's degree with 3-6 years (M.Sc.) of experience required /Ph.D. in biostatistics or statistics or epidemiology and 2-3 years. Soft skills : Stakeholder management, Ability to manage timelines and Ability to work independently and within a team environment, High proficiency in statistical methods used in the pharmaceutical industry, Autonomy in the management of activities; ability to manage multiple conflicting high priority deadlines. Technical skills : Advance SAS programming skills, SDTM & ADaM (CDISC) and other statistical computing software skills in a clinical data environment across multiple therapeutic areas. Education : Master of Science degree or equivalent in Statistics/ Ph.D. in biostatistics or statistics or epidemiology. Languages : Excellent English language knowledge – written and spoken Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Company Description Ghatorey Private Limited is a diversified engineering company specializing in innovative Mushroom Cultivation Machinery, HVAC Solutions, and Sustainable Waste Management Systems. With a legacy of excellence, we serve clients across agriculture, horticulture, healthcare, food processing, and infrastructure sectors. Driven by the vision of Unified Brilliance, we deliver customized, reliable, and efficient solutions across India and abroad. Role Description This is a full-time, on-site role for a HVAC Design and Estimation Engineer located in Sas Nagar. The engineer will be responsible for designing HVAC systems, performing mechanical engineering tasks, conducting required calculations, and coordinating plumbing requirements. The role involves hands-on design work, estimation of project costs, and ensuring compliance with industry standards and client specifications. Qualifications Proficiency in HVAC Design and HVAC systems Mechanical Engineering skills and expertise Experience with plumbing requirements Strong problem-solving and calculation abilities Excellent communication and teamwork skills Ability to work on-site in Sas Nagar Bachelor's degree in Mechanical Engineering or related field Experience in the engineering sector is a plus

JOB_POSTING-3-72656-2 Job Description Role Title: Manager, Cross Platform Strategy Analytics (09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose Manager , Cross Platform Strategy Analytics (individual contributor) role is a part of India Analytics Hub (IAH). Our Analytics team comprises of data analysts who focus on improving Customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. The role needs clear understanding of business requirement , ask right questions , build & review prototype , work with data to generate actionable insights to address project delivery enabling Synchrony’s growth and profitability. The candidate must be skilled in data & analytics , has ‘Go Getter Attitude’ , Goal Oriented and should be able to deliver independently. Key Responsibilities Deliver independently on a variety of problems by leveraging experience in Data and Analytical Tools Able to work on Cross platform initiatives and helps build scalable solutions across platforms Partner on strategic ideas and POCs targeting revenue growth & larger business adoption Adherence to timely delivery, accuracy and documentation in line with Audit Procedures Mentor/ Guide team members on tools and processes Required Skills/Knowledge BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Minimum 2+ years of hands on Experience in SQL or SAS or Tableau or Open Source Tools with ability to independently build queries for data extraction & aggregation Comprehend key concepts & processes in Retail Finance, translate them into quantitative attributes/metrics Ability to Define Methodology, present insights to larger teams and influence decision making Desired Skills/Knowledge 2+ years of analytics/data science experience in Financial Services Industry Experience in working with Python and R, preferably in a Linux-based cloud environment such as AWS Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Work Timings: Flexible Shifts For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Data Analytics

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Research domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Supply Chain domain of the biopharma lifecycle. Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Supply Chain domain of the biopharma lifecycle. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Create and maintain privacy policies and procedures to protect sensitive data and ensure compliance. Conduct regular privacy risk assessments and audits to identify and mitigate potential risks as required Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains including GDPR, CCPA, and other relevant legislations. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Strong understanding of data protection laws and regulations, including GDPR, CCPA, and other relevant legislations. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) 3-5 years of experience in data privacy, compliance, or a related field. Soft Skills: Integrity: Commitment to maintaining the highest ethical standards and protecting confidential information. Adaptability: Ability to adapt to changing regulations and emerging privacy challenges. Proactivity: Self-motivated with a proactive approach to identifying and addressing privacy issues. Leadership: Strong leadership skills and the ability to influence and drive change within the organization. Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

The Data Compliance Analyst will be responsible for maintaining data standards, policies , S tandard O perating P rocedures (SOPs) , defined by data owners. These standards, policies, and SOP s will govern sensitive data (e.g., PII) across the enterprise. This data role will also audit security access controls on sensitive data in the different data platforms to ensure Product T eams adhere to the data policies, standards and SOP s . Roles & Responsibilities: Responsible for maintaining data standards, policies, SOPs, by partnering with Data Manag ement Platforms team, to enable technology to discover, tag, and generate metadata to manage data access controls. Responsible for operationalizing the data access controls and in partnership with functional data owners and technology teams, ensure data access controls, compliance with privacy and security regulations are enforced. Maintain policies and ensures compliance with data privacy, security, and regulatory policies Publish metrics to measure effectiveness and drive adoption of Data Access polic ies and standards, that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, sharing, reporting / consumption) . Functional Skills: Must-Have Skills: Technical skills with knowledge of Pharma processes and data privacy. General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Experience of working with or supporting systems used to data governance framework . E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision A nalytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function . Strong verbal and written communication skills Strong attention to detail, quality, time management and customer focus . Basic Qualifications: Bachelor s degree and 3 to 5 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 7 to 9 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

Let s do this. Let s change the world. In this vital role you will serve as an operational and technical leader responsible for overseeing a team of Global HEOR Economic Modelers. This role ensures the development of innovative, scientifically rigorous, and high-quality economic models supporting Amgen s global market access and pricing strategies. The position requires close collaboration with Global HEOR TA Heads to align health economics deliverables with product strategies. Lead, mentor, and develop a team of Global HEOR Economic Modelers to ensure dedication and continuous professional growth. Provide technical direction and oversight for the development of economic models, including cost-effectiveness/cost-utility (e.g., markov, partitioned survival model), cost minimization, budget impact, and other techniques, as appropriate. Drive innovation and standardization in health economic modeling methodologies across portfolio. Ensure alignment of modeling activities with HEOR TA Heads and product strategies. Maintain expert-level understanding of global HTA requirements and evolving payer needs, integrating them into the team s economic modeling approaches. Oversee model documentation and ensure quality control and compliance with internal and external standards. Contribute to hiring, training, and performance evaluations within the team. Continuously improve workflows, tools, and methodologies to enhance efficiency and quality of work. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The Economic Modeling Leader we seek should possess these qualifications. Basic Qualifications: Doctorate degree in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field and 2 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors OR, Master s degree in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field and 8 to 10 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors OR, Bachelor s degree in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field and 10 to 14 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors OR, Diploma in Health Economics, Econometry, Biostatistics, Mathematics, Engineering or a related field and 14 to 18 years of experience in health economic modeling within the pharmaceutical, biotechnology, or consulting sectors 3+ years of experience in team management capacity. Consistent track record of supporting HTA submissions and payer evidence generation globally. Expert proficiency with modeling and statistical tools such as Excel, R, SAS, or STATA. Skills & Competencies: Strong leadership and key customer engagement skills. Excellent English oral and written communication, with ability to tailor content to different customers. Advanced quantitative and analytical abilities with exceptional attention to detail. Deep knowledge of HTA processes and payer landscapes across major markets. Innovative use of artificial intelligence to boost efficiency. Organizational Behaviors: Proactive leadership with a collaborative approach. Comfortable working in a distributed team across time zones and cultures. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will contribute to Amgen s pipeline of new molecules and commercial products, that are treating serious illnesses and transforming lives. The Specialist CMC Statistician will be a member of our Global CMC Statistics (GCS) team. The mission of the team is to design, develop, and promote best practices, processes and tools across Operations that drive consistency and improve compliance. As part of the GCS team, the Specialist CMC Statistician will work with members of the team to implement statistical tools and techniques to support product manufacturing and testing throughout the product life cycle. The statistician will provide support to clinical and commercial manufacturing sites in the network. This involves statistical support for analyzing Operations generated data including monitoring programs, analytical methods, investigations, and other ad-hoc analyses as required. The Specialist CMC statistician will also support development of delivery devices and systems, and provide statistical analysis, study designs, acceptance sampling plans and acceptance criteria for the development, qualification, and transfer of physical test methods. They will also establish appropriate study designs and carry out evaluation of acceptance criteria for Design Verification testing ensuring that the overall program is aligned with Amgen and Regulatory/ISO requirements. Finally, the candidate will contribute to continuous improvement efforts across Amgen s networks, leading to harmonization, efficiency gains and scientific innovation and, administration of statistical training for Amgen s engineers and scientists. Primary Responsibilities for the Specialist CMC Statistician include: Provides continuous statistical support to a site or functional group by collaborating with technical associates to develop an experimental study, perform statistical analysis, and document results in a technical report that aligns with Amgen s document control system and has statistical integrity. Provides written responses to clarify and/or explain a statistical approach and performs additional analysis to support regulatory submissions and response to questions, as required. Participates in the development, implementation and maintenance of statistical tools used to support product life cycle activities assisting with drafting/updating white papers, writing standardized R and SAS code, outlining report templates, and aligning GCS duties in relevant SOPs. Participates in improvement efforts to promote statistical techniques used in biologics and monoclonal antibodies processes; and mentors and guides statistical techniques and software tools to technical associates. Stays up to date on biotechnology industry trends, best practices, guidance documents and participates in external conferences, as appropriate What we expect of you We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a collaborate partner with these qualifications. Basic Qualifications: Doctorate degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics or Master s degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 3 years of experience or Bachelors degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 5 years of experience or Associates degree and 10 years of experience Preferred Qualifications: Advanced degree in Applied or Industrial Statistics with 3 years experience applying statistical methodologies to support Biopharma manufacturing and control Proficient in statistical tools and techniques commonly used in biopharma manufacturing and testing operations, such as Design of Experiments, Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Acceptance Sampling Plans, Non-linear and Linear Regression, Significance Tests, and Simulation. Proficient in SAS and/or R programming (data manipulation techniques, macro, statistical and graphical PROCS, and ODS) and JMP statistical software Excellent interpersonal, oral and written communication skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. The Manager, CSAR - SAS Edit Check Programmer will report to the Sr. Manager, Clinical System and Analytical reporting and will be focused on supporting SAS Edit check programming activities. The Manager, CSAR - SAS Edit Check Programmer will create and implement edit checks, adhering to Amgen standards, procedures, and best practices using SAS programming. The position is expected to partner effectively with other CSAR Operations and cross functional staff to seamlessly ensure high quality deliverables, internal and external clinical systems, and other CSAR activities related to the use electronic data capture technology. The position will be responsible for quality and deliverables at the study and portfolio level. The Manager, CSAR - SAS Edit Check Programmer will also be expected to help deliver large system transformation projects, with a focus on project management, contribution of subject matter expertise, stakeholder engagement, and change management. The successful candidate will be a strong leader with demonstrated ability to influence stakeholders, while also acting as an individual contributor on study specific and general CSAR/Global Development Operations projects or operational work. Proven capability of providing support for study deliverables. Has operational experience with clinical database management systems and allied technologies (e.g., Rave EDC, Veeva EDC). Responsibilities include, but are not limited to, the following: Support of clinical trial platform technologies Support decision-making by acting as a data scientist bringing awareness to patterns and analytical insight. Coordinating and providing programming support to Clinical Study Teams Works collaboratively with Clinical Data Management to meet study deliverables and timelines Acting as a technical point of contact for systems deliverables on defined programs Experience in creating/programming complex SAS edit checks according to specifications, testing them for functionality and identify potential issues before implementation. Providing technical and business process input / expertise on new and emerging technologies Develop, review and implement policies, SOPs and associated documents Assist in preparing for and responding to audit findings (internal or external). Knowledge Good Clinical Practice Strong understanding and experience in the use of performance management techniques, measures, problem-solving and analytical thinking. Drug development and clinical trials processes Data management processes Programming of clinical trial databases and applications Proficient in SAS edit check programming Systems development lifecycle Programming Languages Project planning and management Collaborating with global cross-functional teams (team/matrix environment) Quality management and Risk Analysis Regulatory filings and inspections Process improvement methodologies What we expect of you We are all different, yet we all use our unique contributions to serve patients. Preferred Qualifications Advanced degree or equivalent in life science, computer science, math, statistics, business administration or related discipline Broad knowledge / work experience in data management / programming in the Pharmaceutical or Biotech arena General project management and planning experience Experience in oversight of outside vendors (CRO s, central labs, imaging vendors, IRT vendors, etc.) Basic Qualifications Bachelor s degree or equivalent in life science, computer science, business administration or related field with6 to 8years of experience. Master s degree and 4 to 6 years of experience. Specialist knowledge / experience in life sciences or a medically related field General biopharmaceutical clinical research experience (clinical research experience obtained working on clinical trials at a biotech, pharmaceutical or CRO company) What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience .

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Supply Chain domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Supply Chain domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience .

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the General and Administrative operations (G&A) domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the General and Administrative operations (G&A) domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 Years of Experience .