Chief Data Officer

The Company

Wolfe, LLC, is an e-commerce company, located in Pittsburgh, PA, focused on next-generation gifting business models.

We are well known for being the company that started the first coupon website in 1995 which sold to a public company in 2000, at the peak of the dot-com era, when we were delivering 20 million page views per month. We then built Direct Response Technologies; grew it to 70 employees; and sold it to Digital River in 2006. We spun off Jambo Media with our tech team and sold it to Undertone in 2012.

We built and focused on GiftCards.com from 2006 to 2016 and sold it to Blackhawk Network. We had over 100 employees whom have shared in our profits.

Today, Wolfe Companies include several brands that are revolutionizing gifting, such as Gift Card Granny, PerfectGift, GiftYa, Give InKind, and Reaf Marketing. We have roughly 160 employees and contractors. We are experiencing triple digit growth year over year. We prioritize a positive work environment and culture, which helps us maintain a high-performing and cohesive team. To ensure the effectiveness of our initiatives, we use tools like OfficeVibe and Bonusly, organize team parties and off-sites, and have clubs that support a diverse, remote-first culture.

Company and Executive Team Recognitions:

• 2022 Smart 50 Award
• 2022 First place - Fast 50 Growing Companies Pittsburgh, Pittsburgh Business Times
• 2020 Best Places to Work by the Pittsburgh Business Times
• 2019 Carnegie Science Award Recipient, Entrepreneur Category
• 2017 Outstanding Entrepreneur Award Winner by the Pittsburgh Venture Capital Association
• 2015 Business Times Diamond Award Winner
• 2015 Business Ethics Award Winner

The Role

Seeking a Chief Data Officer (CDO) to lead all data and analytics operations across all of The Wolfe Companies. The CDO will be responsible for data strategy and management, and maximizing the use of company data via insightful reporting and analysis. The scope of analytics under the CDO is multi-faceted, including financial, digital, operational, and customer/client data. The role reports directly to the CEO and will also be responsible for managing an existing team of data professionals as well as building out additional capabilities to support company growth.

Responsibilities

• Develop and implement data strategy, infrastructure, and management practices that enable the creation of actionable insights and democratization of business intelligence across the company.
• Collaborate with stakeholders to identify opportunities to leverage data and analytics to improve business outcomes.
• Create and implement protocols that ensure the completeness, quality, and accuracy of the data model and related management reporting.
• Develop and monitor KPIs, other metrics, and dashboards to assess business performance.
• Support business units and shared service teams with financial and other modeling and analysis.
• Lead analytics and research efforts to drive long range planning, budgeting, and forecasting.
• Conduct advanced data mining and analysis, forecasting, and predictive modeling to uncover insights, trends, and patterns that can inform strategic decision making.
• Lead integration of AI and ML technologies and solutions into business practices, to drive performance improvement opportunities across the organization.
• Provide thought leadership on data and analytics trends in the industry.
• Build and manage a team of data professionals including data scientists, analysts, developers.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field.
• 10+ years of executive leadership experience overseeing data strategy and analytics, with experience in e-commerce and/or fintech industries preferred.
• Strong understanding of data management principles, data warehousing, and data governance.
• Hands-on expertise with data analytics, CRM, and visualization tools and platforms such as Python, R, SQL, Tableau, Power BI, HubSpot, Google Data Studio, and Google Analytics.
• Understanding of and experience working with big data technologies and cloud-based data platforms (e.g., AWS, Google Cloud Platform, Azure).
• Familiarity with machine learning and AI techniques, including supervised and unsupervised learning, natural language processing, and predictive modeling.
• Strong business acumen and the ability to translate data insights into actionable strategies and recommendations.
• Excellent communication and presentation skills, with the ability to convey complex data concepts to non