AVP, Research Science and Advanced Analytics

Overview:
The AVP, Research Science and Advanced Analytics provides strategic and operational leadership forInovalon'sresearchanalyticscapabilities. This role leverages deep subject matterexpertisetooptimizeclient outcomes andimproveinternal processes.

Duties and Responsibilities:

• Lead and supervise a team of technical subject matter experts (SMEs) responsible for delivering analytics and researchresults for internal and external clients.
• Manage analyst resource availability, planning, and allocation tooptimizeteam performance and meet project timelinesand budgets.
• Develop andmaintainexpert-level knowledge ofInovalon'sproducts, services, and infrastructure to ensureoptimaloperational and financial performance.
• Serve as thought leader and SME inoptimizingresearchdatabases, programming (SQL, SAS, R, Python), data analytics, biostatistics, econometrics, and research methods.
• Establish and enforce standards for programming,stored procedures/scripts,codedocumentation, and quality controlprocessesacross the analytics team.
• Design, implement, andmaintaincomprehensive onboardingmaterials, training,and processes to ensure smooth integration ofnew staff.
• Provide expert guidance and solutions to client inquiriesregardinganalytical methodologies, programming logic, and technical approaches.
• Lead the development and implementation of standardized quality assurance and quality control protocols to ensure accuracy and consistency across analytics deliverables.
• Oversee continuity planning and ensure seamless transitions in analytic workflows when project team membersdepart.
• Manage and lead efforts to salvage projects experiencingchanges in directionand/orquality issues, implementing correctiveactionsand restoring deliverable standards.
• Contribute technicalexpertiseto statements of work (SOW), project budgets,and research protocols as needed.
• Anticipate and develop flexible analytic tools and models for reuse across diverse clients, including AI-driven solutions.
• Serve asprimaryliaison to product and engineering teamsatInovalonon matters related todatabase,analytic and technical environments.
• Mentor and develop junior staff into SMEs through formal and informal coaching.
• Maintain compliance withInovalon'spolicies,proceduresand missionstatement.
• Adhere to all confidentiality and HIPAA requirements as outlined withinInovalon'sOperating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; and fulfill those responsibilities and/or duties that may be reasonably provided byInovalonfor the purpose of achieving operational and financial success of the Employer.

Job Requirements:

• 10+ years of professional experience in healthcare or pharmaceutical industries, including 5+ yearsinconsulting.
• 5+ years of supervisory experience leading technicalanalyticteams.
• Deepexpertisein advanced statisticaltools, approaches, andmethodologies and their application in healthcare and pharmaceutical domains, including Health Economics and Outcomes Research (HEOR).
• Proven technical and programmingproficiencyacross HEOR and broader healthcare analytics domains.
• Strong knowledge of programming standards and ability to implement best practices across teams.
• Technicalproficiencyin SAS, SQL, R, Python, and familiarity with Linux, Windows, Redshift, Snowflake.
• Knowledge of System Development Life Cycle (SDLC) and ability to integrate into HEOR workflows.
• Experienced in maintenance and evolution of analytics codebases using Git and related tooling (e.g. GitHub, GitLab, or Bitbucket), ensuring reproducibility, governance, and efficient collaboration across analytics and product teams
• Experienced in agile project management methodologies, leveraging tools such as Jira and Azure DevOps to manage backlogs, sprints, dependencies, and delivery milestones
• Demonstrated ability to manage team workload effectively,buildstrongteamrelationships,retaintalent, and foster long-term engagement.
• Ability to design, implement, andmaintaincomprehensiveonboardingmaterials and processes to ensure smooth integration ofnew staff.
• Proven success in leading teams and managing multiple projects with competing priorities.
• Exceptional analytical, problem-solving, and decision-making skills.
• Advanced project managementexpertise, ensuringtimelydelivery ofresultsand adherence to deadlines.
• Proficiencyin Microsoft Office Suite (PowerPoint, Excel, Word).
• Excellent written and verbal communication skills, withabilityto convey complex concepts to technical and non-technical audiences.

Education:

• Master's degree or PhD in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline (or equivalent experience).