Senior Category Director responsible for optimizing procurement and supplier management in Technology at Truist. Leading a team in strategic sourcing, contract negotiation, and risk management.
About the role
- Director of Data Strategy & Analytics transforming property tech for Purchasing Platform. Leading data strategy & analytics to drive insight-driven decision-making across the organization.
Responsibilities
- 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.
- 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.
- Lead the design and delivery of dashboards, reports, and analytical models that support decision-making across commercial, operational, and financial functions.
- Build, lead, and develop a high-performing data team — including analysts, and BI developers — through hiring, mentorship, performance management, and structured growth planning.
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.
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.
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