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Director of Data Strategy & Analytics

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Purchasing Platform, Inc.
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

We’re transforming property tech! Purchasing Platform Inc. is a next generation marketplace serving the property management sector. Leveraging our market knowledge and tech savvy, we revolutionize the procurement of products and services across the property management sector. By centralizing procurement, our software brings stronger corporate controls and greater spend visibility to portfolio operators of all sizes.

About the Role

Purchasing Platform is a fast‑growing, profitable B2B eCommerce marketplace solutions company that is seeking a Director of Data Strategy & Analytics to lead our data function and drive insight‑driven decision‑making across the organization. This is a high‑impact leadership role at the intersection of data engineering, business intelligence, and financial strategy. You will be responsible for building and scaling our data infrastructure, deploying automation tools, and constructing the analytical frameworks that power growth across every part of our business.

You will own the data narrative for Purchasing Platform — from raw data ingestion to boardroom‑ready insights. You will partner closely with senior leaders across operations, finance, product, and sales to ensure that our data assets are accurate, accessible, and actionable. You will report to the Vice President of Finance and play a key role in shaping the company’s long‑term data strategy as we scale toward $50M and beyond.

Key Responsibilities Data Strategy & Vision
  • Define and own the company’s multi‑year data strategy, ensuring alignment with business priorities across revenue growth, operational efficiency, and customer experience.
  • Develop and maintain enterprise data standards, governance frameworks, and policies that ensure consistency, accuracy, and compliance across all data assets.
  • Identify and evaluate emerging data technologies, platforms, and methodologies — including AI/ML‑powered analytics — and build a roadmap for their adoption where they deliver measurable commercial value.
  • Partner with senior leadership (VP Finance, CTO, SVP Operations) to translate business questions into structured analytical programs with clear data requirements and success metrics.
  • Represent the data function in cross‑functional leadership discussions, board presentations, and external partner conversations as the company’s data authority.
Data Infrastructure & Engineering
  • Oversee the design, development, and continuous improvement of our data pipelines, data warehouse, and ETL/ELT processes to ensure scalable, reliable, and timely data delivery.
  • Deploy and manage automation tools that streamline the acquisition, processing, and integration of structured and unstructured data from disparate internal and external sources.
  • Establish and enforce data quality standards and monitoring practices — implementing data validation, lineage tracking, and anomaly detection to safeguard the integrity of all data assets.
  • Evaluate and manage key data platform vendors and tools (e.g., cloud data warehouses, BI platforms, statistical software), ensuring fit‑for‑purpose selection and cost‑effective usage.
  • Ensure data infrastructure is built for scale, with architectural decisions that support 2–3× data volume growth over the next 18–24 months.
Analytics, Insights & Business Intelligence
  • Lead the design and delivery of dashboards, reports, and analytical models that support decision‑making across commercial, operational, and financial functions.
  • Construct and maintain analytical datasets that enable trend analysis, forecasting, cohort analysis, segmentation, and performance benchmarking across the business.
  • Apply statistical methods, predictive modeling, and advanced analytical methodologies to surface non‑obvious insights that inform both tactical decisions and long‑term strategy.
  • Champion self‑serve analytics capabilities, enabling business stakeholders to access and interpret data independently while maintaining appropriate governance guardrails.
  • Develop a rigorous A/B testing and experimentation framework to support continuous improvement across product, pricing, marketing, and customer success functions.
Team Leadership & Organizational Development
  • Build,…
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