Director Advanced Analyt...

About the Role

Key Responsibilities

• Define and drive the vision, strategy, and roadmap for advanced analytics across the organization.
• Define product roadmap for CoE offerings and sales strategy.
• Align analytics initiatives with business goals, ensuring measurable impact on performance and innovation.
• Lead cross-functional collaboration across various roles from business, product, IT, and analytics.
• Build, mentor, and manage a high-performing team of operations research scientists, data scientists, machine learning engineers, data engineers, and other analytics professionals.
• Foster a culture of innovation, continuous learning, and ethical data use.
• Oversee the development and deployment of advanced analytics solutions including predictive modeling, optimization, simulation, quantum computing, algorithms, and other AI/ML applications.
• Ensure robust data governance, quality, and compliance with regulatory standards.
• Translate complex data insights into actionable business strategies.
• Present insights and recommendations to senior leadership and executive teams.
• Serve as a thought leader in analytics, representing the organization at conferences and industry forums.
• Evaluate and implement emerging technologies and methodologies in data science and AI.
• Drive the adoption of scalable analytics platforms and tools.

Requirements

• Master's degree in data science, Computer Science, Statistics, Mathematics, or related field (PhD preferred).
• 12+ years in analytics, data science, or related fields.
• 5+ years in leadership roles managing large, multidisciplinary teams.
• Proven track record of delivering enterprise-level analytics solutions.
• Expertise in statistical modeling, machine learning, and AI.
• Proficiency in Python, R, SQL, and cloud platforms (AWS, Azure, GCP).
• Experience with big data technologies (Spark, Hadoop) and visualization tools (Tableau, Power BI).
• Strong understanding of business strategy, operations, and financial metrics.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Nice to Have

• Experience in regulated industries (e.g., healthcare, finance, pharmaceuticals).
• Familiarity with real-world evidence, digital health, or clinical data analytics.
• Certifications in data science, AI, or cloud technologies.
• Experience with agile methodologies and product management.
• Thought leadership through publications, patents, or speaking engagements.

Qualifications

• Master's degree in a relevant field; PhD preferred.

Benefits & Perks

• Salary range of $195,600 - $253,200 per year.
• Click here to read Benefits information.