Lead Data Scientist-Vice President

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities

• Strategic Leadership & Vision: Define and execute the data analytics strategy, aligning it with overall business objectives and identifying opportunities for leveraging data to gain competitive advantage.
• Project & Program Management: Lead and oversee multiple complex data analytics projects, ensuring timely delivery, high quality, and measurable business impact. Take full ownership of analytical initiatives from problem definition to solution implementation and post-launch evaluation.
• Advanced Analytics & Modeling: Apply sophisticated statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing) to uncover deep insights, forecast trends, and assess the impact of business decisions.
• Stakeholder Engagement & Communication: Collaborate effectively with senior leadership, cross-functional department heads, and external partners to understand business challenges, articulate analytical solutions, and communicate complex findings and recommendations in a clear, concise, and compelling manner.
• Team Leadership & Mentorship: Provide strong technical and career mentorship to a team of data analysts, fostering their growth, developing their skills, and promoting best practices in data governance, data quality, and analytical methodology.
• Data Architecture & Governance: Partner with data engineering and IT teams to influence data architecture design, ensure data quality, accessibility, and integrity, and establish robust data governance frameworks.
• Tooling & Innovation: Evaluate and recommend new analytical tools, technologies, and methodologies to enhance the team's capabilities and drive continuous innovation in data analytics.
• Performance Monitoring & Optimization: Design, develop, and implement advanced dashboards, reporting systems, and analytical frameworks to monitor key business performance indicators, identify root causes of performance issues, and recommend optimization strategies.

Qualifications

Required Skills & Experience

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Economics, or a closely related discipline. A Master's degree or MBA is highly preferred.
• Minimum of 13+ years of progressive experience in data analytics, business intelligence, data science, or a similar >------------------------------------------------------

  Job Family Group:

  Technology

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  Job Family:

  Applications Development

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  Time Type:

  Full time

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  Most Relevant Skills

  Please see the requirements listed above.

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  Other Relevant Skills

  For complementary skills, please see above and/or contact the recruiter.

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