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

Target • Brooklyn Park, NC

2d • Hybrid

About The Position

The Sr. Manager, Data Analytics in Finance Capabilities will serve as a senior technical leader for Finance’s adoption of Target’s modern data platform and lead the end-to-end data validation strategy supporting Finance Modernization. The role partners across Finance, Product Management, engineering, enterprise data platform teams, Risk & Controls, and SOX IT to ensure modern data solutions meet Finance’s needs and that data is complete, accurate, controlled, and fit for use from source applications through GCP.

The position owns the Finance modern source application-to-data-platform validation strategy, including frameworks, acceptance criteria, reconciliation approaches, evidence expectations, and issue-management practices. It leads independent contractor resources performing validation work by setting priorities and technical expectations, reviewing outputs, and helping resolve complex data-quality issues. The role does not own engineering pipelines or delivery of data into the modern data platform, but provides technical leadership to ensure solutions meet Finance expectations for quality, traceability, and sustainability.

The Sr. Manager acts as a technical advocate for Finance with data platform, architecture, Product Management, and engineering teams; reviews and challenges technical designs; identifies risks and gaps; and drives resolution of systemic technical issues. The role helps ensure reconciliation, controls, auditability, and data quality are incorporated into modern data solutions, and establishes common technical patterns and guardrails for Finance adoption of capabilities such as Google BigQuery, Microsoft Power BI, Google Looker, and related tools.

The role operates in a Hybrid/Flex for Your Day arrangement, with work performed both onsite at the assigned Target HQ location in Minnesota and virtually, depending on role, team, and daily tasks. Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target.

Requirements

• Four-year degree or equivalent experience.
• At least 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, including investigating complex data issues, tracing discrepancies across systems, and determining 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.
• Excellent communication and influencing skills, including translating between Finance requirements and technical design and communicating complex technical topics to technical and non-technical audiences.
• Ability to operate across organizational boundaries, influence teams without direct authority, and drive resolution of ambiguous or complex technical issues.
• Strong ownership mindset focused on scalable, sustainable, well-governed solutions rather than one-off approaches.
• Experience with modern analytics and visualization technologies such as Microsoft Power BI, Google Looker, or equivalent tools, and 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.

Nice To Haves

• Experience working in SOX-controlled or similarly regulated environments.

Responsibilities

• Own Finance’s modern source application-to-data-platform data validation strategy, including frameworks, acceptance criteria, reconciliation approaches, evidence expectations, and issue-management practices.
• Lead independent contractor resources performing validation work by setting priorities and technical expectations, reviewing work quality, and helping resolve complex data-quality issues.
• Provide technical leadership to ensure data platform solutions meet Finance expectations for quality, traceability, and long-term sustainability.
• Serve as a technical advocate for Finance with data platform, architecture, Product Management, and engineering teams.
• Review and challenge technical designs, identify risks or gaps, and help shape solutions to meet Finance requirements.
• Drive resolution of systemic technical issues and ensure reconciliation, controls, auditability, and data quality are incorporated into modern data solutions.
• Establish and communicate common technical patterns and guardrails for Finance’s adoption of modern data and analytics capabilities.
• Define scalable approaches for technologies such as Google BigQuery, Microsoft Power BI, Google Looker, and related tools.
• Partner across Finance, Product Management, engineering, enterprise data platform teams, Risk & Controls, and SOX IT to validate data from source applications through GCP.

Benefits

• Eligible team members and dependents may receive comprehensive health benefits and programs, which may include medical, vision, dental, and life insurance.
• 401(k).
• Employee discount.
• Short-term disability.
• Long-term disability.
• Paid sick leave.
• Paid national holidays.
• Paid vacation.
• Financial, education, and well-being benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior