Principal SAP Architect, Supply Chain Data & Analytics

Posted:
9/28/2024, 2:15:25 AM

Location(s):
Hyderabad, Telangana, India ⋅ Telangana, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics ⋅ Operations & Logistics

Career Category

Information Systems

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Let’s do this. Let’s change the world. In this vital role you will help digitally transform Amgen's Supply chain capabilities via implementation of SAP S/4HANA. As a technology professional within our global Digital, Technology, and Innovation (DTI) team, this role will help guide the transition from our global ERP instance on SAP ECC to the S/4HANA Intelligent Enterprise. Are you a data architect with expertise in Supply chain operations data that enjoys partnering with business professionals and technology data specialists? Come join a team that is passionate about innovation and making life better with technology!

Roles & Responsibilities:

  • Own the design of sophisticated Supply Chain Management (SCM) data models as part of the S/4HANA implementation, ensuring that the data structures support both operational needs and future analytics capabilities, while aligning with project objectives.

  • Map S/4HANA data structures to the existing data architecture, including Enterprise Data Fabric (EDF) domains and various downstream systems, ensuring compatibility with analytics and reporting requirements across the broader data landscape.

  • Support master data loads, inventory uploads, and data transfer activities, ensuring data readiness and integrity for both operational processes and analytical applications throughout the project.

  • Oversee creation and maintenance of critical documentation such as functional designs, test cases, and user manuals. Ensure compliance with pharmaceutical industry standards and regulations.

  • Collaborate with data engineers to develop user stories, mock-ups, and architectural designs that address analytics needs, ensuring data architecture aligns with future system design and integration plans.

  • Contribute to the solution design and implementation of Master Data Management (MDM) processes for Material, Customer, and Vendor master data, ensuring high-quality data that supports efficient analytics and reporting across the organization.

  • Devise strategies to improve data quality and implement best practice controls, ensuring accurate, consistent data that supports both day-to-day operations and strategic analytics via tools like SAP Analytics Cloud (SAC).

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

  • Master’s degree with 8 - 10 years of Master data management and data analytics experience in SAP MM, PP, QM, SD and WM OR

  • Bachelor’s degree with 10 - 14 years of Master data management and data analytics experience in SAP MM, PP, QM, SD and WM OR

  • Diploma with 14 - 18 years of Master data management and data analytics experience in SAP MM, PP, QM, SD and WM

  • Solid understanding of SAP S/4HANA data model, SAP Analytics Cloud, Datasphere and SAP AI Business Services

  • Good understanding of master data across key supply chain business processes such as MM, PP, QM and SD modules.

  • Experience in managing master data transfer between SAP eco systems like SAP GTS, ATTP, EWM, TM and non-SAP system using DRF, IDOC and PI/PO

  • Demonstrable experience designing and implementing supply chain data architecture to support analytics and integrations

Preferred Qualifications:

  • Experience working in an agile operating model

  • Experience building and continuously monitoring & improving system to system integrations for financial data

  • Programming skills in ABAP, Python and SQL in an AWS environment

Professional Certifications :

  • SAP Certified Associate - SAP Master Data Governance

Soft Skills:

  • Excellent analytical and problem solving skills.

  • 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

  • Strong presentation and public speaking skills.

  • Experience partnering with business leaders to drive strategic decisions

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.

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

.

Amgen

Website: https://amgen.com/

Headquarter Location: Thousand Oaks, California, United States

Employee Count: 10001+

Year Founded: 1980

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Biotechnology ⋅ Health Care ⋅ Manufacturing ⋅ Pharmaceutical