4 Modelling Tools Jobs

ABOUT THE ROLE The Data Strategy and Governance Lead will operationalize the Enterprise Data Council vision across specific domains (Research, Clinical Trials, Commercial, etc.). He/She will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to build data foundations in specific domains . The Data Strategy and Governance Lead will partner with senior leadership and other Data Governance functional leads to align data initiatives with business goals. He/she will establish and enforce data governance policies and standards to provide high-quality data, easy to reuse and connect to accelerate AI innovative solutions to better serve patients . Roles & Responsibilities: Responsible for data governance and data management for a given domain of expertise (Research, Development, Supply Chain, etc.). Manage a team of Data Governance Specialists and Data Stewards for a specific domain. Responsible for operationalizing 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. Provides expert guidance on business process and system design to support data governance and data/information modelling objectives. Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance with data privacy, security, and regulatory policies for the assigned domains Publish metrics to measure effectiveness and drive adoption of Data Governance policy and standards, that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, reporting / consumption). Establish enterprise level standards on the nomenclature, content, and structure of information (structured and unstructured data), metadata, glossaries, and taxonomies. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Architecture, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Functional Skills: Must-Have Skills: Technical skills with in-depth knowledge of Pharma processes with preferred specialization in a domain (e.g., Research, Clinical, Commercial, Supply Chain, Finance, etc.). Aware of industry trends and priorities and can apply to governance and policies. In-depth knowledge and experience with data governance principles and technology; can design and implement Data Governance operating models to drive Amgen s transformation to be a data driven organization. In-depth knowledge of data management, common data models, metadata management, data quality, reference & 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. Good-to-Have Skills: Experience adopting industry standards in data products. Experience managing industry external data assets (e.g. Claims, EHR, etc.) Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: 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 Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: 12 to 15 years of Information Systems experience 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.

ABOUT THE ROLE The External Data Assets Lead will be responsible for optimizing spend and reuse of external data. This role is responsible for maintaining a data catalog with harmonized metadata across functions to increase visibility, promote reuse, and lower the annual spend. The External Data Assets Lead will assess investments in external data and will provide recommendations to the Enterprise Data Council to inform investment approval. This role will work with Global Strategic Sourcing and the Cyber Security Team to standardize contracting of data purchases. The External Data Assets Lea will also work closely with the data engineering team and external data providers to manage the lifecycle of the data assets. This role will be responsible for co-defining and operationalizing the business process to capture metadata related to the forecast of data purchases. The person in this role will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to maximize data investments. Roles & Responsibilities: Responsible for cataloging all external data assets, including the harmonization of metadata to increase reuse and inform future data acquisitions. Co-develop and maintain the process to consistently capture external data purchase forecast, focusing on generating the required metadata to support KPIs and reporting. Responsible for working with Global Strategic Sourcing and Cyber Security teams to standardize data contracts to enable the reuse of data assets across functions. In partnership with functional data SMEs, develop internal expertise on the content of external data to increase reuse across teams. This includes, but is not limited to, participating in data seminars to bring together data SMEs from all functions to increase data literacy. In partnership with the Data Engineering team, design data standardization rules to make external data FAIR from the start. Manage a team of Data Specialists and Data Stewards- directly or in a matrix organization structure to maintain the quality of data. In partnership with the Data Privacy and Policy team develop and operationalize data access controls to adhere to the terms of the data contracts to ensure data access controls, compliance, and security requirements are enforced. Maintain policies and ensure compliance with data privacy, security, and contractual policies Publish metrics to measure effectiveness of data reuse, data literacy and reduction in data spend. Functional Skills: Must-Have Skills: Experience managing external data assets used in the life-science industry (e.g., Claims, EHR, etc.) Experience working with data providers, supporting negotiations and vendor management activities. Technical data management skills with in-depth knowledge of Pharma data standards and regulations. Aware of industry trends and priorities and can apply to governance and policies. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Good-to-Have Skills: Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: 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 Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: 12 to 15 years of Information Systems experience 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.

ABOUT THE ROLE The Data Privacy and Policy Lead will be responsible for defining, operationalizing, and monitoring data access controls to ensure only authorized users and AI agents have access to sensitive data. He/she will define frameworks to identify sensitive data across the enterprise and will work closely with the Data Governance team to ensure all assets are properly classified. He/She will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to build secure data foundations supporting the vision of democratizing data with proper security controls. The Data Privacy and Policy Lead will partner with the Enterprise Data Office, senior leadership, data governance functional leads, and Chief Privacy Officer to protect sensitive data. He/she will establish and enforce data access controls and policies to accelerate access to data in a secure scalable environment. Roles & Responsibilities: Responsible for co-developing frameworks, in partnership with Enterprise Data Management Platforms team, to enable technology to discover, tag, and generate metadata to manage data access controls. Manage a team of Data Governance Specialists and Data Stewards- directly or in a matrix organization structure. 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 policies 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 data management skills with in-depth knowledge of Pharma data regulations. Aware of industry trends and priorities and can apply to governance and policies. In-depth knowledge and experience with data masking, data access controls, and technologies to enable a scalable operating model. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Good-to-Have Skills: Experience managing industry external data assets (e.g. Claims, EHR, etc.) Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Experience working with agile development methodologies such as Scaled Agile. Soft Skills: 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 Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: 12 to 15 years of Information Systems experience 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.

We are: Investors , spanning traditional and alternative markets offering products and services Advisors , understanding our clients priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders , providing timely insights across macro and secular themes to help inform our clients investment decisions Innovators , using our suite of digital solutions to help our clients address complex challenges and meet their financial goals Responsibilities Coordinating with borrowers and guarantors and making sure that they adhere to reporting requirements. Spreading property level financials received from Borrower[s] to monitor portfolio performance for reporting to senior team members. Ensuring both loan and collateral level data for each loan position is correctly reported in internal systems, as we'll as any third-party systems that GS might be leveraging. Accountable for timely and correct regulatory reporting. Responsible for quarterly / semi-annual reporting to LP s/investors in the RECP fund series and any ad hoc requests that may be required by ACMS. Manage covenant and reporting requirements on asset level leverage. Ensure that the flow of data underlying all real estate investment level analytics is accurate and correct. Track and upload key reports. Qualifications Strong academic background. MBA, CFA or CA preferred. Strong communication skills (clear, concise, and confident) with the ability to manage internal and external relationships. Team player Strong project and time management skills Proficient in Microsoft Excel Experience with real estate modelling tools a plus. Able to work under tight time constraints.