5170 Sas Jobs - Page 28

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 .

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 Research 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 Research 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 Commercialization 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 Commercialization 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 .

Let s do this. Let s change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with multi-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. Doctorate degree OR Master s degree and 4 to 6 years of data science and/or analytics experience OR Bachelor s degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience 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 comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including: Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans and bi-annual company-wide shutdowns Flexible work models, including remote work arrangements, where possible

Let s do this. Let s change the world. In this vital role you will be responsible for developing and leading teams in their collaboration with epidemiological and programming colleagues across multiple time zones to ensure requests fulfillment, clarify requirements, track projects, resolve issues, and deliver high-quality results. The Biostatistical Programming Senior Manager will report to a locally based Director of Biostatistical Programming. The Biostatistical Programming Senior Manager will be responsible for guiding managers and programmers in epidemiological and programming methods to ensure efficient delivery of project objectives. Additionally, they will be responsible for partnering with epidemiologists and programming leads across CfOR to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a master s degree and have at least eight years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities : Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage programming activities, according to agreed resource and timeline plans Ensure programming activities adhere to departmental standards and SOPs Write and/or review and approve programming plans Write and/or review and approve analysis dataset specifications Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc. Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications Write, test, validate and execute department-, product- and protocol-level macros and utilities Oversee the work of outsourced resources assigned to projects Lead and/or participate in the development and review of CfOR policies, SOPs and other controlled documents Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization At least eight (8) years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting. Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in a statistical programming team working with real-world healthcare data (RWD) What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree and 2 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject OR Master s degree and 8 to 10 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject OR Bachelor s degree and 10 to 14 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject OR Diploma and 14 to 18 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject Preferred Qualifications: Experience: Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model. Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials Department or multi-team management Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, issue resolution, expert resource Statistical programming: SAS and SQL required; R and Python preferred Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming and lead role Expert statistical programming knowledge using SAS or R Required: SAS Required: SQL Preferred: R Preferred: Python Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Drug development life cycle Statistics and basic epidemiology: Incidence and prevalence [Required for International DAC role]: R or SAS [Required for Regulatory RWE role]: CDISC (SDTM, ADaM) [Required for RWD Engineering role]: Data quality platforms (for example: Informatica, Ataccama) Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail

Let s do this. Let s change the world. In this vital role you will be responsible for manipulating large databases and generating reports to partner with epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor s degree and have at least six years of relevant career experience in statistical programming. Proficiency in SQL programming and SAS or R programming is required. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: Provide technical solutions to programming problems within CfOR(Centre for Observational research). Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage programming activities, according to agreed resource and timeline plans Ensure programming activities adhere to departmental standards and SOPs Write and/or review and approve programming plans Write and/or review and approve analysis dataset specifications Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc. Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications Write, test, validate and execute department-, product- and protocol-level macros and utilities Oversee the work of outsourced resources assigned to projects Lead and/or participate in the development and review of CfOR policies, SOPs and other controlled documents Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization Relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR Bachelor s degree and 6 to 8 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR Diploma and 10 to 12 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience Preferred Qualifications: Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in statistical programming projects Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model. Experience: Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials Team management Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Statistical programming: SQL required; SAS or R required; Python preferred Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming and lead role Expert statistical programming knowledge using SAS or R Required: SAS or R Required: SQL Preferred: Python Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Drug development life cycle Statistics and basic epidemiology: Incidence and prevalence [Required for Regulatory RWE role]: CDISC (SDTM, ADaM) Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail 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.

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Job Summary: We are seeking a highly skilled and experienced SAS Techno-Functional Team Lead to join our dynamic team in Mumbai. The ideal candidate will have strong hands-on expertise in SAS DI, ETL processes, SQL, SAS Visual Analytics (VA), and SAS Management Console (SMC), combined with excellent team management and client-facing capabilities. Key Responsibilities: Lead and manage a team of SAS professionals working on end-to-end SAS-based data integration and reporting solutions. Gather and analyze business requirements from clients and convert them into technical specifications. Coordinate with internal teams to ensure timely and quality delivery of solutions. Perform hands-on development using SAS DI Studio, SQL, and ETL tools. Build, maintain, and optimize dashboards and reports using SAS VA. Manage SAS environments through SMC including user management, libraries, job scheduling, and performance monitoring. Act as a bridge between business users and technical teams to ensure alignment of deliverables. Collaborate with business stakeholders, understand their data needs, and provide techno-functional solutions. Ensure best practices are followed in coding, documentation, and deployment. Provide mentorship and guidance to junior team members. Required Skills: 6-10 years of relevant experience in SAS technologies. Strong expertise in SAS DI Studio, ETL, and SQL. Hands-on experience in SAS VA and SMC. Proven experience in leading teams and managing multiple projects simultaneously. Excellent communication, presentation, and client interaction skills. Strong analytical and problem-solving skills. Experience in requirement gathering, documentation, and stakeholder management.