Sr. Operations Intelligence & Enablement Analyst

McKesson•Atlanta, GA

2d•$97,100 - $161,900

About The Position

The Sr. Operations Intelligence & Enablement Analyst serves as the connective tissue between CoverMyMeds' market intelligence function and the broader operations organization, including the support center. Where existing intelligence work is oriented toward executive decision-making, this role translates market signals and AI-driven operational change into clear, decision-ready guidance for the teams executing on the front lines – with primary emphasis on the support center, the largest operations group by headcount and impact. Operating as a senior individual contributor, the role earns authority through expertise and trust rather than positional reporting lines, driving alignment and adoption across teams without direct authority. Key responsibilities include converting market developments into practical operational guidance; maintaining a current, accurate view of the AI tools deployed across Operations and reporting on the efficiencies, savings, and capabilities they unlock, benchmarked against comparable organizations; and owning a defined, recurring mechanism that carries operator feedback into Product and AI leadership to inform the roadmap. The role partners closely with the forecasting and intelligence function, Product, and operations leadership to ensure market and technology signals reach the front line translated, timed, and actionable, and establishes recognized internal expertise on operations intelligence and the applied use of AI in an operations setting.

Requirements

4-year degree in a related field (business, economics, analytics, health policy, or similar) or equivalent experience
Typically requires 7+ years of experience in operations, analytics, market intelligence, or strategy, preferably within healthcare, pharmacy access, or the payer/PBM landscape
Demonstrated experience translating complex market or technical information into actionable guidance for operational audiences
Experience communicating with both senior leadership and front-line operational teams
Familiarity with prior authorization, medication access, or specialty pharmacy operations strongly preferred
Proven ability to lead and influence cross-functional stakeholders without formal authority
Experience building recurring reporting, briefings, or intelligence products for internal stakeholders
Data literacy, integrity & compliance
Working fluency with AI/LLM tools and an understanding of their operational application and limits
Business intelligence and reporting tools (e.g., Power BI, Tableau, Smartsheet)
CMM technical platforms (provider portals, ePA workflows, etc.)

Nice To Haves

Ability to effectively handle multiple priorities within a changing environment
Excellent organizational skills
Strong analytical judgment and the ability to distinguish signal from noise in market and operational data
Excellent interpersonal skills
Excellent written and oral communication skills, with a talent for distilling complexity into clarity
Problem solving and decision-making skills
Change management and stakeholder engagement experience, a plus
Experience with AI adoption and applied AI / automation in an oporations environment
Market intelligence or competitive intelligence

Responsibilities

Act as the primary translator of market intelligence for CMM operations, converting market trends, payer and formulary movement, and shifts in prior-authorization volume into clear operational implications the front line can act on
Partner with the forecasting and intelligence function to determine which market developments materially change how operations run, and articulate the practical consequence rather than the headline
Produce and sustain a cadence of briefings, updates, and reference material tailored to operational audiences and timed to the decisions they support, with primary focus on the support center
Maintain a current, accurate view of the AI tools deployed across CMM operations – their purpose, usage patterns, and the teams relying on them
Report on the adoption, efficiencies, cost savings, and capability unlocks these tools drive within CMM, and provide an external benchmarking lens on how CMM's applied-AI maturity compares to peer organizations
Own a defined, recurring feedback mechanism between operational users and CMM Product and AI leadership, surfacing user experience, friction points, unmet needs, and emerging opportunities into the AI roadmap
Identify adoption gaps and effective practices, then move that knowledge across operations groups to accelerate value realization and avoid siloed wins
Drive alignment, adoption, and behavior change across teams through influence and credibility rather than positional authority
Establish recognized internal expertise on operations intelligence and the applied use of AI in operations, with the potential to extend that thought leadership beyond CMM