Senior Manager, Data Architect

Danone•Louisville, CO

2d•Hybrid

About The Position

The Senior BI Data Architect Manager acts as a subject matter expert in designing analytical approaches and leads the data-analytics teams in research, development, and implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals. You will be responsible for developing and maintaining key critical data infrastructure encompassing SAP and other outside data sources into an active data eco system. This function will be supporting business data needs for tactical and strategic business initiatives and root cause analysis.

Requirements

Master's degree in Supply Chain, Business Intelligence, Information Systems, Analytics, Computer Science, or related field with 8+ years of relevant experience.
Business Acumen is crucial.
Excellent communication, stakeholder management, and consulting skills, with the 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.

Nice To Haves

Experience with Databricks, Delta Lake, Python, and cloud-based data platforms preferred.
Experience with Business Intelligence and visualization tools, including Power BI and Tableau.
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.

Responsibilities

Engage with functional leaders to design, develop, and maintain dashboards supporting key KPIs and metrics and anticipate needs.
Lead data architecture development to support evolving business data needs.
Be the data partner to cross functional teams: Transportation, Warehousing, Planning, Operations, etc. work closely with IT for requirements, definitions and infrastructure development.
Ingesting and transforming data from multiple sources, applying data quality checks, standardizing schemas, and integrating datasets at the appropriate grain to support accurate analytics and reporting
Enforce data integrity and discipline in data policy and structure, one source of truth with one voice with wholistic and sync-ed data strategy
Translate data into actionable insights, strategies, and root cause analysis
Develop, maintain and enforce various taxonomies, hierarchies and structures
Develop root cause reporting and tooling to engage the business and help deliver options while measuring the impact of those options.
Seek to continuously raise the bar with data and impact.