Senior Manager, Data Architect
$105,000–$140,000 year
On-siteWhite Plains, New York, United States or Louisville, Colorado, United States
Job Summary
Design analytical approaches and lead data-analytics teams in research, development, and implementation of data systems that improve business performance. Engage with functional leaders to design dashboards supporting key KPIs, while acting as a data partner to cross-functional teams including Transportation, Warehousing, and Operations. Ingest and transform data from multiple sources, applying quality checks and standardizing schemas to enforce a single source of truth. Develop root cause reporting and tooling to translate data into actionable insights and strategies. Master's degree in Supply Chain, Business Intelligence, or related field with 8+ years of experience required. Salary range $105,000.00 - $140,000.00 USD. Hybrid work environment with at least three days per week in the office.
Required Qualifications
- Master's degree in Supply Chain, Business Intelligence, Information Systems, Analytics, Computer Science, or related field
- 8+ years of relevant experience
- Business Acumen
- Excellent communication, stakeholder management, and consulting skills
- Ability to translate business needs into technical solutions and technical concepts into business value
- 8+ years of SQL development experience across SQL Server, Oracle, Snowflake, or similar platforms
- Proven track record on building data infrastructure, blending data, time series, datasets and tables for consumption
- Experience designing and building enterprise data warehouses, data lakes, and analytical data models for business consumption
- Proven experience integrating, blending, and harmonizing SAP and external data sources into scalable data solutions
- Strong knowledge of data architecture, data governance, master data management, hierarchies, taxonomies, and data quality frameworks
- Proven ability to design flexible and scalable data structures that support evolving business requirements
- Strong experience working with large datasets, data transformation, automation, and performance optimization
- Demonstrated ability to influence cross-functional teams, establish standards, and drive adoption of enterprise data solutions
- Hybrid work environment (regularly report to assigned office location at least 3 days per week)
Desired Qualifications
- Experience with Databricks, Delta Lake, Python, and cloud-based data platforms
- Experience with Business Intelligence and visualization tools, including Power BI and Tableau
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