Director of Data Strategy & Analytics

Purchasing Platform • Chicago, IL

1d • $160,000 - $180,000 • Hybrid

About The Position

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. The Director of Data Strategy & Analytics 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.

Requirements

• 7+ years of progressive experience in data analytics, business intelligence, or data engineering, with at least 3–5 years in a leadership or management capacity.
• Proven experience in a B2B eCommerce, marketplace, or B2B SaaS environment with annual revenue of $20M+; experience scaling a data function through a high-growth phase is strongly preferred .
• Demonstrated success building and leading data teams, including hiring, developing, and retaining analytical talent.
• Strong hands-on proficiency with SQL and at least one statistical or data science language (Python, R); experience with modern data stack components (e.g., dbt, Snowflake , BigQuery, Redshift, Fivetran, Airflow).
• Deep experience with business intelligence and data visualization platforms (e.g., Tableau , Looker, Power BI) and a track record of building dashboards and reporting frameworks that drive commercial action.
• Experience with statistical modeling, forecasting techniques, and A/B testing methodologies.
• Familiarity with data governance frameworks, data privacy regulations (GDPR, CCPA), and enterprise data security best practices.

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 w/clear data requirements & 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 2–3x 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, lead, and develop a high-performing data team — including analysts, and BI developers — through hiring, mentorship, performance management, and structured growth planning.
• Establish a team culture defined by intellectual curiosity, data literacy, operational discipline, and a strong bias toward delivering business impact.
• Create a data literacy program that upskills non-technical stakeholders across the organization, fostering a data-informed culture at every level.
• Own departmental budgeting, headcount planning, and vendor spend, ensuring resources are deployed effectively to maximize the return on data investment.
• Define and track team performance metrics — including delivery velocity, data quality scores, stakeholder satisfaction, and coverage of analytical use cases.
• Stakeholder Partnership & Data Activation Act as a strategic thought partner to commercial and operational leaders, translating complex analytical outputs into clear, actionable recommendations.
• Partner with the Sales and Marketing teams to develop customer segmentation models, demand forecasting tools, and campaign attribution frameworks that directly support revenue growth.
• Support the Finance function with financial modeling inputs, scenario analysis, and KPI reporting that improve the accuracy and speed of financial planning cycles.
• Collaborate with Product and Technology teams to embed data-driven feedback loops into the product development lifecycle, from feature prioritization to post-launch measurement.
• Develop and maintain a stakeholder engagement cadence — including regular business reviews, roadmap alignment sessions, and feedback mechanisms — to ensure the data function remains tightly connected to evolving business needs.
• Data Governance, Security & Compliance Own the company’s data governance framework, ensuring policies and practices are in place for data classification, access control, retention, and documentation.
• Ensure all data practices are compliant with applicable data privacy regulations (e.g., GDPR, CCPA) and internal security standards, particularly in relation to customer and partner data.
• Develop and maintain a data catalog and data dictionary that provides organization-wide visibility into available data assets, their provenance, and appropriate use.
• Proactively assess and mitigate data risk, including risks associated with third-party data sharing, AI model inputs, and evolving regulatory requirements.

Benefits

• Health & Wellness: Choose from a variety of health plans tailored to meet your needs. Plus, enjoy a $75/month wellness perk to support your fitness and mental health.
• Financial Security: Plan for the future with our 401(k) plan, featuring a company match. We also provide a $75/month remote work expense reimbursement to cover your cell phone or internet costs.
• Work-Life Balance: With a minimum of 30 days of paid time off each year, including PTO, holidays, and a winter break, you'll have the time you need to relax and recharge.
• Parental Leave: We support new parents with 6 weeks of paid leave, ensuring you have the time to bond with your little one.
• Hybrid Work Model: Our team enjoys the flexibility of a hybrid work model. Join us in-office each Tuesday for our All Hands meeting and collaboration sessions. On other days, choose where you work best, whether from home or our office. We also offer a commuter expense reimbursement perk to make your in-office days easier.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed
• Number of Employees: 1-10 employees