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Manager of Business Analytics & AI Solutions

Job in Loris, Horry County, South Carolina, 29569, USA
Listing for: Randstad Digital Americas
Full Time position
Listed on 2026-08-08
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, AI Business & Operations, Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 100000 USD Yearly USD 100000.00 YEAR
Job Description & How to Apply Below
Location: Loris

Job Summary

We are seeking a Manager of Business Analytics & AI Solutions to lead how we turn data into decisions and to build the AI-driven tools that make our operations faster and smarter. This role owns business analytics and reporting across Net Suite and its connected platforms, and designs, builds, and delivers working AI solutions and automation that support Operations, Finance, Procurement, Supply Chain, and IT.

This is a hands‑on leadership role - the person in this seat builds and ships solutions, not just plans for them. This is an AI-forward role. We expect the person in this seat to use AI tools heavily and daily - to build analytics and automation, write and debug queries and scripts, develop AI‑powered tools using large language model APIs, generate and maintain documentation, and accelerate delivery across the business.

The ideal candidate treats AI as a core part of how the work gets done, not as an occasional convenience, and is comfortable directing AI tools while remaining fully accountable for the accuracy of every output. This is a delivery-focused role that combines analytics, systems development, and AI. The ideal candidate is highly detail‑oriented, understands ERP data structures, builds working tools end to end, uses AI fluently to move quickly, and is proactive in partnering with cross‑functional teams to solve real operational problems.

This is an on‑site position based in our Loris, SC office. Regular in‑person collaboration is essential to support operational teams and ensure effective cross‑functional communication.

Location: Loris, South Carolina

Job type: Permanent

Salary: $100, per year

Work hours: 9am to 5pm

Education: Bachelors

Key Responsibilities
  • Use AI tools heavily and daily to accelerate the work described below - including building analytics and automation, drafting and debugging SuiteQL, Saved Searches, and Suite Script, developing AI‑powered tools, and generating and maintaining documentation. AI is expected to be a primary working method, with the Manager responsible for validating all results.
  • Own business analytics and standardized corporate reporting across Net Suite and its connected platforms (including Net Suite Analytics Warehouse and Net Suite Planning & Budgeting), ensuring data is pulled consistently from the correct systems and structured in a usable format for business stakeholders.
  • Design, build, and deliver AI‑driven solutions using large language model APIs (e.g., the Anthropic API) and Net Suite's built‑in AI features - such as document extraction, order and procurement processing, forecasting support, and back‑office automation - owning each solution from data to working tool to documentation.
  • Build and maintain dashboards and reporting sourced from Net Suite using SuiteQL, Saved Searches, Suite Analytics Workbooks, and Suite Script.
  • Develop and maintain integrations between Net Suite and outside systems (e.g., iPaaS platforms such as Celigo, vendor APIs, and email/document sources), using AI to speed authoring, testing, and error‑checking.
  • Turn manual, repetitive processes into automated workflows, reducing hand effort and error across departments.
  • Partner with cross‑functional teams (Finance, Operations, Product Management, Sales, IT, Supply Chain, and Product Engineering) to translate ambiguous business needs into precise, reproducible analytics and AI projects with measurable outcomes.
  • Maintain knowledge of where key business data lives across Net Suite, NSAW, and NSPB, and document the structure of core records (item master, customer, vendor, sales orders, inventory, pricing), including custom fields and record relationships.
  • Track data dependencies and field usage to support projects involving system changes, integration planning, or data migrations (e.g., to a Product Information Management or EDI system), using AI to inventory dependencies and flag impacts quickly.
  • Establish and enforce standards for data quality, code quality, and governance across all builds; coordinate master data updates in line with approval protocols.
  • Support user access setup and reviews in coordination with IT, ensuring data visibility aligns with user roles,…
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