Sr. Delivery Manager
About The Position
Unum is seeking a Senior Delivery Manager to lead end-to-end delivery of AI, machine learning, GenAI, and agentic AI initiatives while directly leading and developing a small to mid-sized team. The role oversees delivery across multiple cross-functional teams, including data science, engineering, product, platform, security, architecture, and business partners, to achieve predictable delivery and measurable business outcomes. This is a people- and delivery-leadership role rather than a hands-on coding position. The successful candidate will bring experience delivering AI/ML, GenAI, MLOps, or complex data solutions and sufficient technical depth to engage with and challenge technical teams. The role emphasizes team leadership, delivery execution, stakeholder management, and ownership of budgets and resources. Unum describes itself as a Fortune 500 company and a leading employee benefits provider. It promotes a positive work-life balance and offers access to benefits and resources, including onsite fitness facilities, paid time off, and professional development programs.
Requirements
- Bachelor’s degree in a related field preferred, or equivalent experience.
- At least 5 years of technology delivery experience leading complex, cross-functional initiatives.
- People management experience, including coaching, developing, and building high-performing technical teams.
- Experience delivering AI/ML, GenAI, MLOps, ML pipeline, or data-platform solutions, with meaningful AI/ML delivery exposure.
- Working knowledge of the ML/LLM lifecycle, including model evaluation, deployment, monitoring, and production support.
- Technical depth to engage effectively with data scientists and engineers and understand concepts such as RAG, model evaluation, integration, and production readiness.
- Experience managing budgets, forecasting, staffing, and resource allocation.
- Strong stakeholder management and communication skills, including the ability to translate technical concepts for non-technical audiences.
- Experience with Agile/Lean delivery practices and leading through ambiguity and changing priorities.
Nice To Haves
- Familiarity with agentic AI, cloud AI platforms, and responsible AI practices.
Responsibilities
- Directly manage, coach, and develop a small to mid-sized team, building a high-performing and accountable team.
- Lead end-to-end delivery of AI/ML, GenAI, and agentic AI initiatives from discovery and proof of concept through production and adoption.
- Lead delivery across multiple initiatives and scrum teams, ensuring priorities, commitments, and business outcomes are achieved.
- Partner with Product Owners, technical teams, and business stakeholders to establish priorities, success measures, delivery milestones, and production readiness.
- Identify and resolve delivery risks and dependencies across data, engineering, platform, security, architecture, and business teams.
- Provide technical leadership to challenge estimates, identify risks, and facilitate decisions about AI/ML delivery, evaluation, integration, and deployment.
- Establish appropriate delivery standards, stage gates, and responsible AI practices throughout the lifecycle.
- Manage staffing, capacity, budgets, forecasting, resource allocation, and vendor relationships across the portfolio.
- Build team capability through coaching, development, cross-training, and identification of emerging skill needs.
- Measure performance using delivery, adoption, quality, cost, and business outcomes, and continuously improve execution.
- Build trusted relationships with business and technical stakeholders and communicate risks, trade-offs, progress, and outcomes to senior leadership.
- Stay current on relevant AI capabilities and delivery practices, including GenAI, RAG, agentic AI, model evaluation, and AI governance.
Benefits
- Onsite fitness facilities
- Paid time off
- Employee professional development programs
- Healthcare benefits, including health, vision, and dental
- Short- and long-term disability insurance benefits
- Performance-based incentive plans
- 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether or not the employee contributes
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What This Job Offers
Job Type
Full-time
Career Level
Senior
