Senior Manager / Director, Data & Business Systems

Graza•New York, NY

About The Position

Graza is hiring its first dedicated leader for Data & Business Systems to build the data infrastructure, business systems, and processes needed to support a rapidly growing consumer business. This role sits at the intersection of data, technology, and business operations, and is broader than a traditional data engineering or IT position. The role will map how information moves through the company, identify gaps and unnecessary manual work, and determine whether to improve processes, better use existing systems, integrate platforms, automate workflows, or adopt new technology. The position owns the architecture and roadmap for Graza’s Snowflake environment and will develop data models, ingestion and transformation pipelines, and trusted datasets for reporting and decision-making. It will also oversee key integrations across accounting, ERP, e-commerce, inventory, supply chain, logistics, retail, and other platforms; establish systems of record and trusted metric definitions; and build reporting and data products with Finance, Sales, Operations, and Supply Chain. Reporting to the VP of Finance, this highly visible role works directly with the leadership team. The Director will manage and develop the existing data analyst, set practical data and engineering standards, and determine the future team structure and technology roadmap. Success includes creating a map of major systems and data flows, establishing target architecture, improving reporting and data controls, replacing spreadsheet-dependent processes with scalable workflows, and prioritizing future integrations and investments.

Requirements

At least 6 years of experience across data, analytics engineering, business systems, technology, process improvement, or a combination of these disciplines.
Experience building or significantly improving a data platform or business systems environment.
Comfort working hands-on.
Strong SQL skills.
Experience with cloud data warehouses, ideally Snowflake.
Experience with modern transformation and ingestion tools such as dbt, Fivetran, Airbyte, or equivalent technologies.
Understanding of APIs, integrations, data modeling, data quality, and how operational systems fit together.
Ability to diagnose why systems disagree and determine whether the issue stems from data, process, integration, or the underlying system.
Ability to work with Finance or Operations leaders to understand business needs, map processes, and translate them into improved systems.
Ability to operate as the most senior technical person in the room and communicate effectively with non-technical leaders.
Ability to create a roadmap and work without a large team or a detailed roadmap being provided.

Nice To Haves

Experience in CPG, retail, DTC, food and beverage, or supply chain.
Experience with platforms such as Cin7, Shopify, QuickBooks, Vividly, Parabola, or Snowflake.
Experience with syndicated retail data, retailer portals, EDI, 3PL/WMS systems, or similar tools.

Responsibilities

Own the architecture and roadmap for Graza’s Snowflake environment, including data models, ingestion and transformation pipelines, and reliable reporting datasets.
Build tools and outputs that enable the business to answer questions without repeatedly recreating analyses in spreadsheets.
Map critical business processes and data flows across Finance, Sales, Operations, Supply Chain, and other functions.
Establish systems of record for customers, products, orders, inventory, revenue, COGS, and other critical business domains.
Evaluate the existing technology landscape and determine where to integrate, configure, replace, consolidate, or build systems.
Own the architecture behind integrations among accounting, ERP, e-commerce, inventory, supply chain, logistics, retail, and other platforms.
Identify, quantify, redesign, and automate processes that create unnecessary manual work.
Partner with Finance, Sales, Operations, and Supply Chain to create useful data products and reporting for business decisions.
Build reporting related to revenue, margin, customers, channels, SKUs, pricing, velocity, inventory, purchasing, production, logistics, and forecasting.
Establish definitions, ownership, testing, reconciliation, monitoring, and documentation for critical metrics.
Manage and develop the existing data analyst and determine the appropriate team structure as Graza grows.
Establish practical engineering and data standards, and decide what to build, buy, or obtain through outside expertise.
Create a roadmap for the people, technology, and capabilities Graza will need as it scales.