Annuity Systems Analysis Manager

Pacific Life•Charlotte, NC

23h•$138,150 - $168,850•Onsite

About The Position

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. We are seeking an Annuity Systems Analysis Manager, Distribution Partner Integration to join our Distribution Partner Integration team. This role is based in Charlotte, NC. As Annuity Systems Analysis Manager, Distribution Partner Integration, you will lead a team responsible for enabling and supporting technology solutions across the annuity distribution and administration ecosystem. You will manage day-to-day team priorities, drive backlog execution, and ensure seamless integration with key annuity vendor platforms and partners. This role requires deep domain expertise across the annuity lifecycle, including product configuration, new business, in-force policy servicing, and distribution enablement. You will act as a key liaison between business stakeholders, IT teams, vendors, and distribution partners, ensuring delivery alignment, operational efficiency, and scalable solutions. A critical component of this role is leveraging advanced systems analysis practices alongside emerging AI tools to optimize workflows, improve productivity, and scale team output.

Requirements

8+ years of experience in systems analysis, business systems, technology delivery, application development leadership, or digital transformation roles.
Proven experience leading teams and managing delivery in fast-paced environments while driving operational excellence through automation and process optimization.
Demonstrated success building and leading high-performing teams through effective hiring, onboarding, coaching, employee development, and technology modernization initiatives.
Proven track record of implementing AI-powered solutions, workflow automation, and business process improvements that significantly reduce manual work, increase productivity, and enhance customer outcomes.
Deep expertise in business process analysis, requirements management, systems integration, and enterprise technology delivery.
Experience identifying, redesigning, and automating manual business processes, resulting in measurable improvements in efficiency, quality, and scalability.
Strong systems analysis skillset, including requirements elicitation, process modeling, functional design, testing coordination, and AI-assisted business analysis techniques.
Experience leveraging Microsoft Copilot, Generative AI tools, intelligent workflow platforms, robotic process automation (RPA), and low-code/no-code technologies to improve operational efficiency and decision-making.
Experience working with enterprise vendor ecosystems, including: Policy administrative platforms,Order entry/eApp tools (firelight), data and transaction hubs (DTCC)
Demonstrated experience with process improvement methodologies (Agile, Scrum, LEAN, Six Sigma, Continuous Improvement, etc.).
Proven ability to translate business requirements into scalable technology solutions while balancing strategic objectives and operational execution.

Nice To Haves

Hands-on experience implementing enterprise AI, automation, and digital transformation solutions that improve organizational effectiveness and drive measurable business value.
Strong understanding of carrier, distributor, partner integration, and enterprise application integration models.
Experience leveraging AI and automation tools (e.g., Microsoft Copilot, intelligent workflow solutions, robotic process automation, process mining, AI-assisted analysis, and predictive analytics) to: Improve productivity and decision-making, Reduce manual effort and operational costs, Accelerate delivery timelines and cycle times, Scale day-to-day operational processes, Improve data quality and business outcomes
Proven track record of delivering automation initiatives that eliminate repetitive tasks, increase team capacity, and improve customer and partner experiences.
Ability to balance strategic thinking with hands-on execution, driving both immediate results and long-term transformation.
Strong communication and stakeholder management skills across technical, business, executive, and vendor audiences.
Demonstrated leadership in fostering a culture of innovation, continuous improvement, AI adoption, and operational excellence.

Responsibilities

Lead and manage a team of system analysts and developers, including work prioritization, backlog management, delivery oversight, and continuous optimization through AI-enabled productivity tools and intelligent automation solutions.
Provide ongoing performance feedback, career development guidance, and succession planning to strengthen team capability, retention, and adoption of emerging technologies, including AI-assisted analysis and automation platforms.
Motivate and align team members to achieve operational objectives while maintaining strong employee engagement, customer focus, and a mindset of innovation and continuous process improvement.
Serve as the primary point of coordination between IT, business stakeholders, and external vendors to deliver scalable and efficient technology solutions.
Drive integration efforts with annuity vendor platforms (e.g., policy administration systems, order entry platforms, DTCC, FireLight, etc.) while identifying opportunities to automate workflows and improve data exchange efficiencies.
Support annuity product launches and enhancements, ensuring alignment across systems, processes, distribution channels, and automation capabilities.
Identify and resolve system and process issues, proactively mitigating risks and dependencies through data-driven analysis, automation, and operational monitoring.
Continuously evaluate and improve processes using LEAN, Agile, AI-enabled solutions, process mining, and workflow automation technologies to reduce manual effort and operational costs.
Lead the implementation of intelligent automation initiatives that streamline business processes, reduce cycle times, and improve service delivery across the annuity lifecycle.
Communicate effectively with stakeholders regarding timelines, risks, delivery status, automation opportunities, and business value realization.
Provide thought leadership on industry trends, vendor capabilities, AI innovation, automation strategies, and distribution best practices.
Ensure high-quality system analysis deliverables, including requirements, functional specifications, testing strategies, automation use cases, and AI-assisted documentation.