Data Analytics Information Architect
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MN
Company:
Solventum is a newly formed organization focused on innovative healthcare solutions merging health, material, and data science.
Summary:
The Data Analytics Information Architect at Solventum will lead data architecture efforts to deliver analytics solutions supporting business strategy. Candidates must hold a bachelor’s degree and have extensive experience in data analytics and architecture.
Requirements:
Technology: SAP S/4HANA, Snowflake, MS Dynamics, Salesforce, Workday, Oracle, Data Vault, Star Schema modeling, HVR, Fivetran, Informatica
Credentials: Bachelor’s Degree or higher, High School Diploma/GED
Experience: 10 years of data analytics experience in a public, private or military environment, 8 years in Data Architecture or related roles, 5 years of SAP-specific data modeling experience, 5 years leading and mentoring a team of data engineers
Job Description:
The Information Architect at Solventum will bring world-class Applied Analytics leadership and technical expertise to Data Analytics and AI organization. You will provide strategic direction in data architecture across SAP (S/4HANA/ECC, Datasphere), Non-SAP (MS Dynamics, BPCS), Enterprise Applications (Salesforce, Workday, Concur, Oracle, JDE, MES, External data source, etc..), and cloud platforms (Snowflake), ensuring the delivery of data analytics & AI solutions that directly support Solventum's Business Strategy. This hands-on role requires a strong background in data design, modeling, governance, and the ability to effectively lead and communicate with both technical and non-technical teams across the company.
- Lead end-to-end data architecture across Snowflake, SAP S/4HANA/ECC & Datasphere, MS Dynamics 365, BPCS, Salesforce, Workday, Concur, Oracle, JDE, MES, and external data sources, etc…
- Architect integrated data models that support Commercial Operations, Supply, Finance and other business domains
- Translate Enterprise Applications, ERP transactional and master data into analytics-ready structures in Snowflake and other downstream platforms
- Define and standardize key business metrics/KPIs across finance, sales, supply chain, customer operations, IT and manufacturing domains
- Design data pipelines and ELT frameworks using tools like SAP Datasphere, HVR, Fivetran, and Informatica.
- Integrate ERP (SAP, MS D365, BPCS, Oracle, JDE) and Non-ERP (Salesforce, Workday, Concur, MES, external sources, etc.) data with Snowflake or other cloud data lakes using best practices for data quality, scalability, and performance
- Collaborate with data engineers to ensure robust, documented Source-to-Target Mappings (STTM)
- Support operational and reporting needs by delivering data models for regulatory, financial, and management reporting
- Provide technical oversight for data access strategies (ODP, CDS Views, APIs) and ensure operational efficiency
- Guide troubleshooting of data issues in production and collaborating with support teams to resolve root causes
- Contribute to data governance practices by ensuring lineage, stewardship, and metadata are embedded in the architecture
- Partner with security and compliance teams to ensure GDPR/SOX compliance in data design and usage
- Act as the data advisor to business and IT stakeholders, ensuring alignment between data capabilities and business goals
- Lead architecture sessions with functional consultants, product owners, and analysts to validate designs and drive adoption