Senior Director, Data Mining Ideation

Machinify

About The Position

Machinify is seeking a Senior Director of Data Mining Ideation to lead and scale a team that turns data mining and audit-support work into accurate, actionable findings on improper payments. This delivery-focused leadership role owns day-to-day delivery, team development, and operational targets within a vendor delivery model, partnering with client-aligned stakeholders and internal teams. The role balances quality, timeliness, and cost while building a team capable of reliable, scalable delivery.

Requirements

At least 8 years of experience in healthcare payment integrity, claims analytics, audit operations, or a similar delivery function.
At least 2 years of experience leading teams.
Demonstrated success managing budgets, headcount planning, and operational forecasting in a fast-paced, service-oriented environment.
Track record of scaling and maturing an execution-oriented team and managing performance through metrics and quality standards.
Strong communication and executive presence, with the ability to build trust across teams, manage competing priorities, and deliver results through others.
Comfort partnering with technical teams and interpreting analytical outputs.

Nice To Haves

Familiarity with healthcare claims data, audit processes, payment integrity concepts, and data mining approaches.
Experience in vendor-client delivery models.
Experience with AI tools.

Responsibilities

Provide direct leadership, mentorship, and performance management for operational data mining professionals.
Set clear expectations, build team culture, and establish coaching and training routines covering technical skills and operational discipline.
Oversee workflow planning, prioritization, and quality assurance for audit-support findings, data-driven insights, and reporting outputs.
Ensure outputs are accurate, consistent, and actionable, and that the team meets agreed service levels and operational commitments.
Support the identification of improper payments to deliver measurable value for clients.
Manage and deliver against annual and ongoing budgets, including capacity forecasting, headcount planning, and monitoring operational spend.
Recommend and make tradeoffs involving staffing, throughput expectations, tooling, and workflow optimization, and clearly report budget performance to leadership.
Balance cost efficiency with scalable, high-quality delivery.
Operate the team with metrics discipline, clear accountability, and consistent operating rhythms.
Continuously improve operational processes, including through automation and AI-assisted tooling to improve throughput and accuracy.
Partner with analytics, data engineering, reporting, product, and client-facing operations to resolve dependencies and surface needs and risks early.
Proactively report performance, risks, and delivery status to senior leadership and client-aligned stakeholders.
Translate operational realities into clear, concise summaries for upper management and contribute to operational planning discussions.
Meet with clients to understand product enhancement needs and other client needs.