below marketmost similar roles pay hereabove market
This role pays less than
71%
of similar roles. Most pay
$158,711–$214,900
— the blue band above.
At the midpoint, this role pays about
$160k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About Target
Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has
92 open roles
on FindRole.
Listed pay typically runs
$98,000–$176,000
across 67 roles with salary data.
The Sr. Manager Data Analytics - Finance Data Validation & Tool Strategy joins the Finance Capabilities team to serve as a senior technical leader for Finance’s adoption of a modern data platform. This role involves leading the end-to-end data validation strategy for Finance Modernization, ensuring data is complete, accurate, and controlled from source applications through GCP. You will own the validation strategy, including frameworks, acceptance criteria, and reconciliation approaches, while leading independent contractor resources to resolve complex data-quality issues. Key responsibilities include reviewing technical designs, identifying risks, and establishing common patterns for scalable adoption. Required skills include SQL, data architecture, and experience with Google BigQuery, Microsoft Power BI, and Google Looker. You must demonstrate expertise in data lineage, auditability, and SOX-controlled environments to ensure high-quality, sustainable data solutions.
Lead the end-to-end data validation strategy for Finance Modernization across the enterprise data platform.
Own the data validation strategy for modern source applications, including frameworks, acceptance criteria, and reconciliation approaches.
Manage independent contractor resources by setting technical priorities, reviewing output quality, and resolving complex data issues.
Review and challenge technical designs to ensure solutions meet Finance requirements for quality, traceability, and auditability.
Establish and communicate common technical patterns and guardrails for the adoption of new data and analytics capabilities.
Define scalable approaches for technologies like Google BigQuery, Microsoft Power BI, and Google Looker.
Serve as a technical advocate to ensure data is complete, accurate, and controlled from source applications through GCP.
What we're looking for
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.
Strong understanding of modern data architectures and end-to-end data flows, including extraction, ingestion, transformation, and cloud data platforms.
Demonstrated experience designing or leading data validation, reconciliation, testing, or data-quality frameworks across complex datasets.
Strong SQL and analytical problem-solving skills to investigate complex data issues and determine root causes.
Experience leading the work of matrixed technical resources, including setting expectations, prioritizing work, and reviewing deliverables.
Strong understanding of data controls, reconciliation, data lineage, auditability, and data-quality concepts; experience in SOX-controlled environments is preferred.
Experience with modern analytics and visualization technologies such as Microsoft Power BI, Google Looker, or equivalent tools.
Data Analytics
Statistical Modeling
Open Source Data Technologies
Predictive Analytics
Data Governance
Econometrics
Statistics
Operations Research
Large Data Sets
Data Analysis
Statistical Modeling
Relational Database
Open Source Data Technologies
Predictive Analytics
Data Governance
Econometrics
Statistics
Mathematics
Computer Science
Data Analytics
Statistical Modeling
Relational Database
Open Source Data Technologies
Predictive Analytics
Data Governance
Econometrics
Large Data Sets