Job Details


Chief Data Officer  ,   
Job Description

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Chief Data Officer

The Role
The Chief Data Officer (CDO) will lead all data and analytics operations. The CDO will be responsible for data strategy 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.

* 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.

Job Requirements


* 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-technical stakeholders.
* Demonstrated leadership skills, with a track record of building and leading high-performing data teams.


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