Associate Director – Delivery Partner, Insurance

Tiger Analytics

full-time

Posted on: 9/16/2025

Origin: • 🇺🇸 United States • Illinois

✨ AI Apply

Senior

AzureCloudHadoopSpark

About the role

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 500 companies, enabling them to generate business value from data.
We are seeking a seasoned Program Delivery Partner (DP) to lead analytics engagements within the customer service domain.
Partner with business leaders to understand challenges, define project scope, and translate business needs into actionable requirements.
Collaborate with Technical Leads (onshore) and Offshore Delivery Partners to delegate tasks, ensure quality standards, and guide analytical approaches.
Oversee the full project lifecycle—from data discovery and analysis through implementation, deployment, and adoption of solutions.
Establish governance and AI product management foundations, including ROI modeling, MVP scope, success criteria, pilot planning, stakeholder alignment, and sign-offs.
Work closely with client and Tiger teams to scale pilots/MVPs into enterprise-wide programs.
Identify and drive new opportunities for data and analytics to deliver business value, contributing to the broader strategic vision.
Manage and mentor a cross-functional team of data scientists, engineers, and analysts, fostering a culture of data-driven decision-making.

12+ years of experience in data analytics with a strong background in consulting, program management, and stakeholder management.
Proven ability to lead complex analytics programs, influence senior leadership, and drive adoption of data-driven solutions.
Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders and leadership; strong verbal, written, and presentation (deck-making) skills.
Highly analytical and structured problem-solving approach to address ambiguous business challenges.
Strong business acumen with the ability to link data analytics efforts directly to business objectives and measurable outcomes.
Demonstrated leadership and mentoring experience, managing cross-functional teams effectively.
Working knowledge of data analysis and modeling techniques, GenAI concepts (e.g., RAG, Vector DB), big data technologies (e.g., Hadoop, Spark), and cloud environments (e.g., Azure, Databricks).