Principal IS Bus Analyst – Data & Analytics
Amgen
Principal IS Bus Analyst – Data & Analytics
Job Description
Role Description:
What you will do
- Lead engagement with Supply Chain business SMEs, operations leads, and planners to define, document, and refine analytics product requirements tied to metrics, KPIs, and operational workflows.
- Act as the bridge between business and technology, articulating solution requirements for data pipelines, transformation logic, BI reporting, and UI enhancements.
- Partner with engineering leads to define functional and non-functional requirements, breaking epics into actionable features and user stories aligned to agile delivery.
- Define and evolve end-to-end analytics workflows, including data model definition, validation frameworks, and NLP prompt modeling for GenAI features.
- Lead product-level discovery for data products, ensuring alignment to Amgen’s digital supply chain strategy, AI enablement roadmap, and technology standards.
- Own backlog grooming, sprint readiness, and PI planning in coordination with Product Owners, Principal Engineers, and UI/AI teams.
- Contribute to architectural reviews, impact assessments, data lineage mapping, and validation planning, particularly for GxP-compliant analytics systems.
- Provide oversight and coaching to junior analysts, enforcing BSA standards, business process modeling best practices, and story-writing hygiene.
- Champion business adoption through product demos, user training, feedback loop orchestration, and business impact quantification.
- Collaborate on post-deployment support, enhancements, and upgrades, ensuring business continuity during version transitions (Tableau, PowerBI, Databricks, AWS).
What we expect of you
- 12 to 17 years of experience in Computer Science, IT or related field
Must-Have Skills
- Demonstrated expertise in Supply Chain analytics and familiarity with SAP ECC and Planning System data models (BOMs, MRP, inventory, lead times, etc.).
- Strong experience working with cloud-based data ecosystems: Databricks, Delta Lake, AWS S3/Glue/Redshift.
- Expertise in authoring functional specifications, user stories, data requirements, and acceptance criteria for data pipelines and reporting solutions.
- Hands-on understanding of BI platforms like Tableau and Power BI; experience designing functional wireframes, dashboards, and KPI navigation logic.
- Familiarity with GenAI/NLP use cases in enterprise settings—prompt design, metric question mapping, knowledge base integration.
- Proficiency with Agile/SAFe methodologies, user story grooming, sprint participation, and PI planning cadence.
- Experience working in validated environments (GxP) with traceability and documentation rigor.
- Strong understanding of data quality and governance principles, as well as business process optimization.
- Broad working knowledge of key IS domains and layers.
- Strong understanding of SAP data models (ECC tables) and Supply Chain data domains.
- Familiarity with UI design considerations, React/Angular workflows, and REST API documentation.
- Ability to model complex cross-functional business processes and translate them into system workflows.
- Experience using tools like JIRA, Confluence, Azure DevOps for documentation and backlog management.
- Success in mentoring and developing strong product analysts, business analysts, and developers.
- Experience working in Agile/SAFe environments with distributed global teams.
- Certified Business Analyst Professional (preferred)
- Supply Chain Certifications
- Excellent critical-thinking and problem-solving skills
- Strong communication and collaboration skills
- Demonstrated awareness of how to function in a team setting
- Exceptional collaboration and communication skills
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented with a focus on achieving team goals
- Strong presentation and public speaking skills
- Demonstrated presentation skills
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Demonstrated expertise in Supply Chain analytics and familiarity with SAP ECC and Planning System data models (BOMs, MRP, inventory, lead times, etc.).intermediate
- Strong experience working with cloud-based data ecosystems: Databricks, Delta Lake, AWS S3/Glue/Redshift.intermediate
- Expertise in authoring functional specifications, user stories, data requirements, and acceptance criteria for data pipelines and reporting solutions.intermediate
- Hands-on understanding of BI platforms like Tableau and Power BI; experience designing functional wireframes, dashboards, and KPI navigation logic.intermediate
- Familiarity with GenAI/NLP use cases in enterprise settings—prompt design, metric question mapping, knowledge base integration.intermediate
- Proficiency with Agile/SAFe methodologies, user story grooming, sprint participation, and PI planning cadence.intermediate
- Experience working in validated environments (GxP) with traceability and documentation rigor.intermediate
- Strong understanding of data quality and governance principles, as well as business process optimization.intermediate
- Broad working knowledge of key IS domains and layers.intermediate
- Strong understanding of SAP data models (ECC tables) and Supply Chain data domains.intermediate
- Familiarity with UI design considerations, React/Angular workflows, and REST API documentation.intermediate
- Ability to model complex cross-functional business processes and translate them into system workflows.intermediate
- Experience using tools like JIRA, Confluence, Azure DevOps for documentation and backlog management.intermediate
- Success in mentoring and developing strong product analysts, business analysts, and developers.intermediate
- Experience working in Agile/SAFe environments with distributed global teams.intermediate
- Certified Business Analyst Professional (preferred)intermediate
- Supply Chain Certificationsintermediate
- Excellent critical-thinking and problem-solving skillsintermediate
- Strong communication and collaboration skillsintermediate
- Demonstrated awareness of how to function in a team settingintermediate
- Exceptional collaboration and communication skillsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
- Demonstrated presentation skillsintermediate
Required Qualifications
- 12 to 17 years of experience in Computer Science, IT or related field (experience)
Responsibilities
- Lead engagement with Supply Chain business SMEs, operations leads, and planners to define, document, and refine analytics product requirements tied to metrics, KPIs, and operational workflows.
- Act as the bridge between business and technology, articulating solution requirements for data pipelines, transformation logic, BI reporting, and UI enhancements.
- Partner with engineering leads to define functional and non-functional requirements, breaking epics into actionable features and user stories aligned to agile delivery.
- Define and evolve end-to-end analytics workflows, including data model definition, validation frameworks, and NLP prompt modeling for GenAI features.
- Lead product-level discovery for data products, ensuring alignment to Amgen’s digital supply chain strategy, AI enablement roadmap, and technology standards.
- Own backlog grooming, sprint readiness, and PI planning in coordination with Product Owners, Principal Engineers, and UI/AI teams.
- Contribute to architectural reviews, impact assessments, data lineage mapping, and validation planning, particularly for GxP-compliant analytics systems.
- Provide oversight and coaching to junior analysts, enforcing BSA standards, business process modeling best practices, and story-writing hygiene.
- Champion business adoption through product demos, user training, feedback loop orchestration, and business impact quantification.
- Collaborate on post-deployment support, enhancements, and upgrades, ensuring business continuity during version transitions (Tableau, PowerBI, Databricks, AWS).
Tags & Categories
Principal IS Bus Analyst – Data & Analytics
Amgen
Principal IS Bus Analyst – Data & Analytics
Job Description
Role Description:
What you will do
- Lead engagement with Supply Chain business SMEs, operations leads, and planners to define, document, and refine analytics product requirements tied to metrics, KPIs, and operational workflows.
- Act as the bridge between business and technology, articulating solution requirements for data pipelines, transformation logic, BI reporting, and UI enhancements.
- Partner with engineering leads to define functional and non-functional requirements, breaking epics into actionable features and user stories aligned to agile delivery.
- Define and evolve end-to-end analytics workflows, including data model definition, validation frameworks, and NLP prompt modeling for GenAI features.
- Lead product-level discovery for data products, ensuring alignment to Amgen’s digital supply chain strategy, AI enablement roadmap, and technology standards.
- Own backlog grooming, sprint readiness, and PI planning in coordination with Product Owners, Principal Engineers, and UI/AI teams.
- Contribute to architectural reviews, impact assessments, data lineage mapping, and validation planning, particularly for GxP-compliant analytics systems.
- Provide oversight and coaching to junior analysts, enforcing BSA standards, business process modeling best practices, and story-writing hygiene.
- Champion business adoption through product demos, user training, feedback loop orchestration, and business impact quantification.
- Collaborate on post-deployment support, enhancements, and upgrades, ensuring business continuity during version transitions (Tableau, PowerBI, Databricks, AWS).
What we expect of you
- 12 to 17 years of experience in Computer Science, IT or related field
Must-Have Skills
- Demonstrated expertise in Supply Chain analytics and familiarity with SAP ECC and Planning System data models (BOMs, MRP, inventory, lead times, etc.).
- Strong experience working with cloud-based data ecosystems: Databricks, Delta Lake, AWS S3/Glue/Redshift.
- Expertise in authoring functional specifications, user stories, data requirements, and acceptance criteria for data pipelines and reporting solutions.
- Hands-on understanding of BI platforms like Tableau and Power BI; experience designing functional wireframes, dashboards, and KPI navigation logic.
- Familiarity with GenAI/NLP use cases in enterprise settings—prompt design, metric question mapping, knowledge base integration.
- Proficiency with Agile/SAFe methodologies, user story grooming, sprint participation, and PI planning cadence.
- Experience working in validated environments (GxP) with traceability and documentation rigor.
- Strong understanding of data quality and governance principles, as well as business process optimization.
- Broad working knowledge of key IS domains and layers.
- Strong understanding of SAP data models (ECC tables) and Supply Chain data domains.
- Familiarity with UI design considerations, React/Angular workflows, and REST API documentation.
- Ability to model complex cross-functional business processes and translate them into system workflows.
- Experience using tools like JIRA, Confluence, Azure DevOps for documentation and backlog management.
- Success in mentoring and developing strong product analysts, business analysts, and developers.
- Experience working in Agile/SAFe environments with distributed global teams.
- Certified Business Analyst Professional (preferred)
- Supply Chain Certifications
- Excellent critical-thinking and problem-solving skills
- Strong communication and collaboration skills
- Demonstrated awareness of how to function in a team setting
- Exceptional collaboration and communication skills
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented with a focus on achieving team goals
- Strong presentation and public speaking skills
- Demonstrated presentation skills
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Demonstrated expertise in Supply Chain analytics and familiarity with SAP ECC and Planning System data models (BOMs, MRP, inventory, lead times, etc.).intermediate
- Strong experience working with cloud-based data ecosystems: Databricks, Delta Lake, AWS S3/Glue/Redshift.intermediate
- Expertise in authoring functional specifications, user stories, data requirements, and acceptance criteria for data pipelines and reporting solutions.intermediate
- Hands-on understanding of BI platforms like Tableau and Power BI; experience designing functional wireframes, dashboards, and KPI navigation logic.intermediate
- Familiarity with GenAI/NLP use cases in enterprise settings—prompt design, metric question mapping, knowledge base integration.intermediate
- Proficiency with Agile/SAFe methodologies, user story grooming, sprint participation, and PI planning cadence.intermediate
- Experience working in validated environments (GxP) with traceability and documentation rigor.intermediate
- Strong understanding of data quality and governance principles, as well as business process optimization.intermediate
- Broad working knowledge of key IS domains and layers.intermediate
- Strong understanding of SAP data models (ECC tables) and Supply Chain data domains.intermediate
- Familiarity with UI design considerations, React/Angular workflows, and REST API documentation.intermediate
- Ability to model complex cross-functional business processes and translate them into system workflows.intermediate
- Experience using tools like JIRA, Confluence, Azure DevOps for documentation and backlog management.intermediate
- Success in mentoring and developing strong product analysts, business analysts, and developers.intermediate
- Experience working in Agile/SAFe environments with distributed global teams.intermediate
- Certified Business Analyst Professional (preferred)intermediate
- Supply Chain Certificationsintermediate
- Excellent critical-thinking and problem-solving skillsintermediate
- Strong communication and collaboration skillsintermediate
- Demonstrated awareness of how to function in a team settingintermediate
- Exceptional collaboration and communication skillsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
- Demonstrated presentation skillsintermediate
Required Qualifications
- 12 to 17 years of experience in Computer Science, IT or related field (experience)
Responsibilities
- Lead engagement with Supply Chain business SMEs, operations leads, and planners to define, document, and refine analytics product requirements tied to metrics, KPIs, and operational workflows.
- Act as the bridge between business and technology, articulating solution requirements for data pipelines, transformation logic, BI reporting, and UI enhancements.
- Partner with engineering leads to define functional and non-functional requirements, breaking epics into actionable features and user stories aligned to agile delivery.
- Define and evolve end-to-end analytics workflows, including data model definition, validation frameworks, and NLP prompt modeling for GenAI features.
- Lead product-level discovery for data products, ensuring alignment to Amgen’s digital supply chain strategy, AI enablement roadmap, and technology standards.
- Own backlog grooming, sprint readiness, and PI planning in coordination with Product Owners, Principal Engineers, and UI/AI teams.
- Contribute to architectural reviews, impact assessments, data lineage mapping, and validation planning, particularly for GxP-compliant analytics systems.
- Provide oversight and coaching to junior analysts, enforcing BSA standards, business process modeling best practices, and story-writing hygiene.
- Champion business adoption through product demos, user training, feedback loop orchestration, and business impact quantification.
- Collaborate on post-deployment support, enhancements, and upgrades, ensuring business continuity during version transitions (Tableau, PowerBI, Databricks, AWS).
Tags & Categories