Senior Manager, Data Architect

About the role

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 ecosystem. This function supports business data needs for tactical and strategic business initiatives and root cause analysis.

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.) and work closely with IT for requirements, definitions, and infrastructure development.
• Ingest and transform data from multiple sources, apply data quality checks, standardize schemas, and integrate datasets at the appropriate grain to support accurate analytics and reporting.
• Enforce data integrity and discipline in data policy and structure, ensuring one source of truth with a holistic and synchronized 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.

Requirements

• Master's degree in Supply Chain, Business Intelligence, Information Systems, Analytics, Computer Science, or related field with 8+ years of relevant experience.
• 8+ years of SQL development experience across SQL Server, Oracle, Snowflake, or similar platforms.
• Proven track record in 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.
• 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.

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.

Pay

The salary range for this position is $105,000.00 - $140,000.00 USD. The exact salary offered will depend on several factors, including the candidate’s relevant experience, geographic location, internal equity, and market conditions. Danone North America additionally offers a performance-based bonus.

Benefits

• Medical, dental, and vision coverage with an 80%/20% cost-sharing model.
• Flexible time off and hybrid work schedules.
• Fitness discounts and mental health/substance abuse support programs.
• 401(k) plan with company match.
• Tuition reimbursement and employee discount programs.
• Voluntary perks and financial support programs.
• 18 weeks of paid parental bonding leave, fertility, surrogacy, and adoption benefits.
• Caretaker benefits and pet insurance.

Schedule

This is a hybrid position that allows for flexible work. While you may have the option to work from home on a schedule agreed to with your supervisor, you are also expected to regularly report to your assigned office location at least 3 days per week.