Solutioning

Molina Healthcare•Long Beach, CA

18d

About The Position

Provides subject matter expertise and leadership for data intelligence activities supporting Molina requests for proposals (RFPs) for new and reprocuring business. Drives growth and strategy across Medicaid, Dual Eligible Special Needs Plan (DSNP), and Marketplace lines of business through data intelligence, research, and analysis. Collaborates across the enterprise to build a library of data points and proof points and develop competitor analysis of bid responses across the Medicaid managed care industry. Supplies data and proof points to proposal writers and develops data intelligence strategies and processes to improve content quality and efficiency and ensure effective use of competitor content and scoring analysis databases and processes. The role leads data intelligence for procurement efforts, supporting market capture, pre-RFP planning, proposal development, and oral presentations. It develops and governs centralized data repositories and ownership frameworks, and partners with subject matter experts and business stakeholders to curate operational, clinical, quality, network, claims, population health, and other performance data. The position also conducts competitive and market analysis, makes data-driven recommendations, supports proposal and presentation development, facilitates stakeholder engagement and continuous improvement, and contributes to capability development and risk management. Business travel of up to 40% is required.

Requirements

At least 7 years of progressive experience in Medicaid managed care with a large national payer, including competitive intelligence, research and analysis, or an equivalent combination of relevant education and experience.
At least 1 year of management or leadership experience.
Proven experience managing multiple procurements concurrently and meeting previously agreed-upon goals within stringent time frames.
Experience analyzing and using data for marketing or communications, demonstrating outcomes, or RFP responses.
Experience analyzing a broad range of data and information, such as clinical, network, and operations data.
Strong competitive intelligence research skills and experience.
Experience with business intelligence (BI) tools.
Ability to drive operational performance improvements and best practices.
Strong organizational and time-management skills.
Ability to collaborate cross-functionally within a highly matrixed organization, including with senior-level executives.
Experience managing staff directly or indirectly.
Strong interpersonal and relationship-development skills.
Excellent verbal and written communication skills, including the ability to lead meetings with senior-level leaders.
Proficiency with Microsoft Office, including Excel and PowerPoint, and applicable software programs.
Ability to travel for business up to 40%.

Nice To Haves

Project management experience.

Responsibilities

Lead data intelligence strategy for procurement efforts, supporting market capture, pre-RFP planning, proposal development, and oral presentations through collection, analysis, and application of performance metrics and proof points.
Develop, maintain, and govern centralized data repositories and ownership frameworks to keep performance data, evidence, and source documentation accurate, current, auditable, and aligned with reporting cycles and regulatory requirements.
Partner with subject matter experts and business stakeholders to identify, collect, validate, and curate operational, clinical, quality, network, claims, population health, and other performance data for proposal responses.
Conduct competitive intelligence and market analysis of competitor proposals, incumbent health plan performance, industry trends, and publicly available data to identify risks, gaps, opportunities, and differentiators.
Provide strategic, data-driven recommendations and proposal support, collaborating with writers, growth leaders, and functional experts to incorporate compelling, compliant performance metrics into proposals and presentations.
Facilitate stakeholder engagement, reporting, and continuous improvement by presenting performance insights, incorporating reviewer feedback, identifying enhancement opportunities, and supporting improvements to proposal content and data management capabilities.
Support organizational capability development and risk management, including early issue identification and escalation, use of emerging technologies such as AI, staff training and mentoring, and monitoring regulatory and competitive developments that may affect contract awards.