Senior Manager, Data, Analytics & AI
About the role
The Senior Manager, Data, Analytics & AI leads OptiMed's enterprise Artificial Intelligence (AI), data, analytics, business intelligence, and intelligent automation strategy. This role serves as the organizational leader responsible for identifying, developing, governing, and scaling AI capabilities.
Responsibilities
Develop and execute OptiMed's enterprise AI strategy and roadmap.
Serve as a key organizational leader and subject matter resource for Generative AI, Machine Learning, advanced analytics, and emerging AI capabilities.
Identify and prioritize high-value AI opportunities based on business value, feasibility, risk, and scalability.
Lead AI initiatives from discovery and proof-of-concept through implementation, adoption, and measurement of business outcomes.
Identify opportunities to leverage AI for data quality, reporting, analytics, forecasting, workflow improvement, employee productivity, and decision support.
Evaluate capabilities within existing enterprise platforms before recommending net-new AI technologies.
Establish responsible AI practices addressing security, privacy, compliance, accuracy, and appropriate human oversight.
Promote organizational AI education, adoption, and effective use of approved AI capabilities.
Develop and advance OptiMed's enterprise data strategy in alignment with organizational objectives and the AI roadmap.
Lead Data Engineering, Reporting & Analytics, Data Stewardship, and Data Governance functions.
Advance enterprise Data Governance, Data Quality, and Master Data Management capabilities.
Establish clear data ownership, stewardship, definitions, quality standards, and accountability.
Leverage AI and automation to improve data cleansing, standardization, matching, anomaly detection, and overall data quality.
Ensure enterprise data is trusted, accessible, secure, and appropriately governed.
Lead the continued evolution of OptiMed's enterprise data platform, building upon existing cloud, integration, and data modernization initiatives.
Partner with Enterprise Architecture and Data Engineering to mature scalable architecture supporting data, analytics, integration, automation, and AI.
Continue advancing modernization of ETL/ELT pipelines, APIs, integrations, and enterprise data services.
Optimize utilization of existing cloud and data technologies, including Snowflake, Azure, Microsoft Fabric, and other established enterprise platforms.
Advance standards for data pipelines, architecture, documentation, monitoring, reliability, and lifecycle management.
Continue reducing technical debt, fragmented integrations, redundant data movement, and unnecessary platform complexity.
Ensure the enterprise data platform is secure, resilient, maintainable, cost-effective, and capable of supporting future AI and analytics needs.
Partner with business leaders to identify opportunities to improve workflows through data, analytics, automation, and AI.
Identify operational bottlenecks, manual processes, duplicate work, reconciliation activities, and opportunities for greater efficiency.
Determine whether business challenges are best addressed through process improvement, existing system capabilities, integration, analytics, automation, or AI.
Develop analytical and forecasting capabilities supporting areas such as staffing, inventory, referrals, reimbursement, utilization, and operational planning.
Measure improvements through productivity, quality, cycle time, service, and financial outcomes.
Represent OptiMed's data strategy, analytics capabilities, AI direction, integration approach, and technology maturity during selected prospect discussions and presentations.
Help assess the feasibility, scalability, risks, and dependencies associated with prospective partner requirements.
Contribute to strategic RFPs, proposals, and presentations when specialized data, AI, analytics, or integration expertise is required.
Help prospective partners understand and gain confidence in OptiMed's expertise, technology, strategy, governance, and ability to support sophisticated data and integration requirements.
Lead the development of enterprise reporting and analytics strategy supporting executive, operational, financial, and client-facing needs.
Establish standardized KPIs, dashboards, scorecards, and operational reporting.
Advance analytics capabilities from historical reporting toward predictive insights, forecasting, and proactive decision support.
Leverage AI to improve trend identification, anomaly detection, executive summaries, and generation of actionable insights.
Expand self-service analytics while reducing dependency on manually created spreadsheets and repetitive reporting processes.
Build, mentor, and develop a high-performing Data, Analytics & AI team.
Translate business challenges into scalable data, analytics, automation, and AI solutions.
Partner effectively with business, technology, and executive leadership.
Present strategies, recommendations, business cases, and results to Executive Leadership.
Manage key vendors, consultants, and strategic technology partners.
Promote a culture of data-driven decision-making, innovation, accountability, and continuous improvement.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Data Science, Healthcare Informatics, Business Analytics, Engineering, or related field.
- Experience: 8+ years of progressively responsible experience in Data, Analytics, Data Engineering, Business Intelligence, AI, or Information Management.
- Experience leading technical and business-facing teams: 3+ years.
- Competencies: Experience developing and implementing enterprise data strategies and modern data capabilities; Demonstrated experience leading AI initiatives from concept into practical business use; Strong understanding of Generative AI, Machine Learning, advanced analytics, and intelligent automation; Experience with enterprise Data Governance, Data Quality, and Master Data Management; Experience with modern cloud data platforms, ETL/ELT, integrations, and APIs; Demonstrated ability to translate business problems into practical data, analytics, automation, and AI solutions; Strong executive communication and presentation skills, including the ability to represent technical capabilities with prospective partners and other external stakeholders.
Skills
- Strong understanding of Generative AI, Machine Learning, advanced analytics, and intelligent automation.
- Experience with enterprise Data Governance, Data Quality, and Master Data Management.
- Experience with modern cloud data platforms, ETL/ELT, integrations, and APIs.
- Strong executive communication and presentation skills.
- Healthcare, specialty pharmacy, infusion, PBM, payer, or healthcare services experience preferred.
Benefits
Not specified.
Pay
$135,000.00
Schedule
Remote-first position with occasional on-site collaboration at OptiMed's headquarters in Kalamazoo, Michigan.