Sr. Manager Data Analytics - Finance Data Validation & Tool Strategy

• Four-year degree or equivalent experience.
• 6+ years of experience in data analytics, analytics engineering, data engineering, business intelligence, data architecture, or a related technical data role, within Finance, Accounting, or another data-intensive enterprise function
• Strong understanding of modern data architectures and end-to-end data flows, including source-system extraction, ingestion, transformation, data quality, cloud data platforms, and downstream analytical consumption
• Demonstrated experience designing or leading data validation, reconciliation, testing, or data-quality frameworks across complex datasets and systems
• Strong SQL and analytical problem-solving skills, with the ability to investigate complex data issues, trace discrepancies across systems, and determine root causes
• Ability to evaluate and challenge technical architecture and solution designs, identify risks or gaps, and partner constructively with engineers and architects to improve solutions
• Experience leading the work of matrixed technical resources, including setting expectations, prioritizing work, reviewing deliverables, and driving accountability for outcomes
• Strong understanding of data controls, reconciliation, data lineage, auditability, and data-quality concepts; experience working in SOX-controlled or similarly regulated environments is preferred
• Excellent communication and influencing skills, with the ability to translate between Finance requirements and technical design and communicate complex technical topics to both technical and non-technical audiences
• Ability to operate effectively across organizational boundaries, influence teams without direct authority, and drive resolution of ambiguous or complex technical issues
• Strong ownership mindset with a focus on creating scalable, sustainable, well-governed solutions rather than solving individual use cases through one-off approaches
• Experience with modern analytics and visualization technologies such as Microsoft Power BI, Google Looker, or equivalent tools, with an understanding of how platform standards and reusable patterns enable scalable adoption
• Experience with cloud data platforms such as BigQuery, or equivalent modern data warehouse and analytics technologies

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.