Director, Data Science and Insights
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Science and Insights in the United States.
The Director, Data Science and Insights will lead the strategic application of data, analytics, and AI/ML initiatives to drive financial performance, operational efficiency, and business innovation. This role oversees the development and deployment of predictive models, advanced analytics solutions, and automated reporting systems to inform decision-making across all business units. Acting as a bridge between technical teams and senior leadership, the position ensures insights are actionable and aligned with corporate objectives. The role involves managing a high-performing team, implementing data governance best practices, and staying ahead of emerging trends in data science and financial analytics. It is ideal for a leader passionate about leveraging data to create measurable business impact in a dynamic, collaborative environment.
Accountabilities
- Formulate, communicate, and execute the enterprise data and AI/ML strategy aligned with business goals and risk management standards.
- Collaborate with business units to translate needs into analytical solutions and actionable insights.
- Lead the design, development, and implementation of advanced statistical and machine learning models.
- Oversee the creation of automated reporting, dashboards, and analytics platforms to support strategic decision-making.
- Ensure data integrity, quality, and consistency across systems and reporting platforms.
- Maintain compliance with regulatory requirements and promote data governance best practices.
- Lead, mentor, and develop a team of data analysts, fostering a collaborative, innovative, and client-focused culture.
- Manage multiple initiatives simultaneously, prioritizing resources and communicating progress to senior leadership.
- Guide technology selection, adoption, and implementation for analytics platforms and tools.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field; advanced degrees (Master’s or PhD) preferred.
- 8+ years of experience in data science and analytics, with at least 2–3 years in a leadership or managerial role, preferably in banking or financial services.
- Strong expertise in AI, machine learning, and statistical modeling.
- Proficiency with analytics and visualization tools (e.g., SQL, Python, R, Power BI, Tableau).
- Deep understanding of financial products, statements, regulatory environment, and banking KPIs.
- Excellent leadership, communication, and stakeholder management skills.
- Proven ability to translate complex data into actionable insights and business strategies.
- Experience implementing data governance and ensuring regulatory compliance.
- Competitive base salary and performance-based bonus opportunities.
- Comprehensive Total Rewards package, including 401(k) match, profit sharing, and employee stock purchase plan.
- Medical, dental, vision, and company-paid life and disability insurance.
- Paid time off and wellness incentives.
- Access to pre-tax health savings and flexible spending accounts.
- Professional development and career growth opportunities.
- Supportive, inclusive, and collaborative work environment.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.
Thank you for your interest!
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