Forsyth Barnes
Job Title
Senior Data Manager
– Retail (Ref: 194429)
Location Northern New Jersey (Hybrid: 3 days onsite / 2 days remote)
Base Pay Range $120,000.00 – $150,000.00 per year (includes bonus & benefits)
Key Responsibilities
Lead daily data operations, ensuring accuracy, reliability, and strong governance.
Manage a multi‑disciplinary data team across analytics, engineering, BI, and integrations.
Own the data backlog, prioritisation, delivery, and support of data products.
Oversee the design and optimisation of pipelines, models, and dashboards.
Translate stakeholder requirements into actionable work and provide clear status updates.
Improve workflows, documentation, data quality, and technical standards.
Handle issue resolution, environment management, and change approval processes.
Technical Requirements
Advanced SQL, Python, Databricks/Spark.
Azure Data Stack (ADF, Synapse, Data Lake, Functions preferred, DevOps).
Power BI & DAX (advanced modelling and optimisation).
Preferred Experience
Retail/QSR/FMCG data (POS, store systems, supply chain, etc.).
Leading offshore or vendor teams; working in agile environments.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industry: Retail
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– Retail (Ref: 194429)
Location Northern New Jersey (Hybrid: 3 days onsite / 2 days remote)
Base Pay Range $120,000.00 – $150,000.00 per year (includes bonus & benefits)
Key Responsibilities
Lead daily data operations, ensuring accuracy, reliability, and strong governance.
Manage a multi‑disciplinary data team across analytics, engineering, BI, and integrations.
Own the data backlog, prioritisation, delivery, and support of data products.
Oversee the design and optimisation of pipelines, models, and dashboards.
Translate stakeholder requirements into actionable work and provide clear status updates.
Improve workflows, documentation, data quality, and technical standards.
Handle issue resolution, environment management, and change approval processes.
Technical Requirements
Advanced SQL, Python, Databricks/Spark.
Azure Data Stack (ADF, Synapse, Data Lake, Functions preferred, DevOps).
Power BI & DAX (advanced modelling and optimisation).
Preferred Experience
Retail/QSR/FMCG data (POS, store systems, supply chain, etc.).
Leading offshore or vendor teams; working in agile environments.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industry: Retail
#J-18808-Ljbffr