Senior Data Manager (Ref: 194429)

Forsyth Barnes; New Jersey; Hybrid; USD 120,000 - 150,000; Full time

Job summary

A leading data management firm in Northern New Jersey is seeking a Senior Data Manager to lead daily data operations, manage a multi-disciplinary team, and oversee data product delivery. This hybrid role requires expertise in SQL, Python, and Azure Data Stack, along with experience in retail data environments. The ideal candidate will possess strong leadership abilities and a commitment to improving data workflows and quality standards. Competitive salary offered between $120,000 and $150,000 per year.

Qualifications

• Experience leading multi-disciplinary data teams across analytics and engineering.
• Ability to manage data backlog and translate requirements into actionable tasks.
• Experience in optimising data workflows and technical standards.

Responsibilities

• Lead daily data operations with a focus on accuracy and reliability.
• Manage a multi-disciplinary data team and oversee data product delivery.
• Improve data workflows, quality, and technical standards.

Skills

Advanced SQL

Python

Databricks/Spark

Power BI

DAX

Tools

Azure Data Stack

Job description

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