Business Enablement Specialist III

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets.

Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people.

We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals.

Working at Allvue Systems means working with pioneers in the fintech industry.

Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more.

With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious.

We want all of our team members to be open, accessible, curious and always learning.

As a team, we take initiative, own outcomes, and have passion for what we do.

With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results.

Come be a part of the team that’s revolutionizing the alternative investment industry.

Define your own future with Allvue Systems!

• Embed with business and service teams to understand operational pain points, clarify requirements, and rapidly translate needs into working solutions, prototypes, or implementation plans.
• Own solutions from discovery through delivery: define the problem, design the approach, configure or build the solution, test with users, deploy, measure results, and iterate.
• Act as a technical consultant to non-technical stakeholders, translating business needs into clear technical requirements and technical constraints into practical business choices.
• Prioritize work based on business impact, urgency, complexity, risk, scalability, and expected value, challenging proposed approaches and selecting technology only when it is the right solution.

• Own the operational lifecycle of delivered solutions, including performance monitoring, stakeholder feedback, enhancement prioritization, ongoing optimization, and retirement or replacement when a solution no longer delivers sufficient value.
• Use rapid prototypes and proofs of concept to validate business value, usability, and technical feasibility before scaling solutions into production.
• Proactively identify technical debt, redundant automation, unnecessary customization, and platform complexity, and simplify solutions to improve reliability, maintainability, and long-term supportability.

• Design and run intake models, including request forms, routing logic, queues, and self-service paths, so requests reach the right team or person the first time with the information needed to act.
• Build and consistently apply prioritization frameworks that weigh urgency, complexity, business impact, risk, dependencies, and available capacity.
• Establish service-level expectations, escalation paths, and operational controls, and hold the process accountable to them to improve responsiveness, predictability, and transparency.
• Maintain visibility into workload, active work, resource allocation, aging items, and team capacity, and recommend service delivery improvements that increase responsiveness and transparency for the business.

• Identify where routine, repetitive, decision-support, and knowledge-heavy work can be automated or AI-assisted, and prioritize opportunities based on measurable business impact rather than novelty.
• Design, configure, and deploy approved enterprise AI solutions and agents for use cases such as request summarization, triage and routing recommendations, document or content generation, first-pass analysis, workflow orchestration, and knowledge retrieval.
• Build automated approval workflows, routing rules, notifications, escalation paths, and cross-system actions that reduce manual handoffs and cycle time.
• Create AI-assisted self-service experiences that help employees and service teams retrieve accurate answers and complete routine work without unnecessary human intervention.
• Stay current on emerging AI and agentic capabilities and translate relevant advances into practical, secure, production-ready use cases for TSM and the business teams it supports.
• Apply responsible AI practices, including appropriate human review, data protection, access controls, testing, monitoring, and partnership with Security, Compliance, IT, and other governance stakeholders.

• Map and redesign workflows end to end, from intake through completion, identifying friction points, rework, unclear ownership, manual handoffs, and opportunities to standardize or automate.
• Eliminate unnecessary friction and manual handoffs, and design service processes that remain effective and scalable as demand and volume increase.

• Serve as the technical owner and hands-on administrator for the Jira Service Management platform and the broader TSM Atlassian ecosystem, including Jira, Confluence, Assets, Automation, and Rovo .
• Design and implement platform configurations, workflows, forms, schemas, permissions, automations, AI agents, and integrations that support scalable service delivery.
• Partner with business units and technical teams to improve data flow and workflow connectivity across Jira, Salesforce, Slack, BI platforms, and other enterprise systems.
• Translate business needs into clear technical requirements, and technical constraints into plain language that enables stakeholders to make informed decisions.
• Evaluate solution maintainability, security, supportability, and total operational cost before introducing new customizations or tooling, and actively simplify or retire solutions that create unnecessary complexity or technical debt.

• Define and maintain dashboards and operational reporting that provide visibility into request demand, workload, service performance, adoption, automation outcomes, and business impact.
• Establish and track KPIs including request volume, turnaround time, workload distribution, backlog aging, service-level attainment, efficiency measures, self-service rate, adoption, error reduction, and time saved.
• Use data to identify bottlenecks, recurring failure points, process variation, and improvement opportunities, including cycle-time analysis and actionable recommendations.
• Deliver concise reporting and operational insights to the TSM Director and relevant business leaders to support prioritization, planning, governance, and resource decisions.

Adoption and Enablement

• Train stakeholders and drive real, sustained adoption of new tools, workflows, AI capabilities, and service management practices.
• Write clear documentation, playbooks, knowledge articles, release communications, and self-service guidance that make new capabilities easy to understand and use.
• Track adoption and value metrics after launch, including usage, time saved, error reduction, and self-service rate; gather feedback, address barriers, and iterate until the intended operational outcome is achieved.
• Promote reuse of successful patterns, components, automations, and AI capabilities across teams rather than solving the same problem repeatedly.
• Demonstrated experience designing, configuring, developing, or administering business systems and workflow platforms in a SaaS or enterprise technology environment.
• Strong ability to discover ambiguous business problems, gather and refine requirements, and independently translate them into practical technical solutions.
• Proven experience improving operational processes through workflow design, automation, integrations, data, or AI-enabled solutions.
• Strong analytical and problem-solving skills with the ability to evaluate tradeoffs, identify root causes, and make clear recommendations.
• Ability to work effectively across Support, IT, Security, Product, Engineering, Operations, and business teams while balancing speed, governance, and maintainability.
• Clear written and verbal communication skills with the ability to explain technical topics to non-technical stakeholders and influence adoption.
• Working knowledge of IT Service Management principles and service delivery practices; practical experience with ITIL-aligned processes is preferred.
• Demonstrated ownership mindset with the ability to move from problem discovery to production delivery and measurable follow-through.

• Advanced hands-on experience with Atlassian Cloud, particularly Jira Service Management and Jira; experience with Confluence, Assets, Automation, and Rovo is strongly preferred.
• Experience designing workflows, forms, request types, automation rules, permissions, queues, schemas, and service management configurations.
• Experience with APIs, REST integrations, webhooks, scripting, or comparable integration and automation approaches.
• Experience with enterprise collaboration, data, and reporting platforms such as Slack, Microsoft 365, Power BI, Snowflake, or comparable technologies.
• Familiarity with software delivery practices, testing, documentation, version control, and production change discipline.
• Ability to evaluate and troubleshoot multi-system workflows, including data flow, permissions, automation behavior, and integration failures.

• Practical experience applying generative AI, AI agents, or agentic workflows to real business processes, with emphasis on measurable outcomes and production usability.
• Ability to design AI-assisted workflows with appropriate prompts , context, tools/actions, guardrails, evaluation criteria, and human review.
• Experience with enterprise AI tools such as ChatGPT, Microsoft Copilot, Atlassian Intelligence/ Rovo , or comparable platforms.
• Understands data privacy, confidentiality, access control, security, model limitations, and responsible AI practices when deploying AI-enabled solutions.
• Demonstrates curiosity and adaptability in learning emerging AI capabilities and applying them appropriately to service management and business enablement challenges

In the first year, this role is expected to have:

• Expanded TSM engineering beyond Atlassian administration by delivering forward-deployed solutions that address meaningful business and service delivery problems.
• Replaced selected ad hoc or manual intake and workflow patterns with structured, measurable, and scalable service processes.
• Reduced manual effort and cycle time through automation, integrations , AI-assisted workflows, and improved self-service.
• Delivered production AI or agentic capabilities that are responsibly governed, adopted by users, and tied to measurable productivity or service improvements.
• Improved leadership visibility into workload, service performance, adoption, and operational outcomes through reliable dashboards and reporting.
• Created reusable technical and process patterns that allow TSM to solve similar business problems faster across multiple teams.
• Improved and sustained the performance, reliability, and business value of delivered solutions through ongoing optimization, feedback, and lifecycle management.
• Bachelor's degree in Information Systems , Computer Science, Engineering, Business Technology, Data Analytics, Operations, or a related field; equivalent practical experience accepted.
• 4+ years of related experience in enterprise systems, business applications, service management engineering, workflow automation, technical consulting, or a related engineering function.
• Experience owning or delivering solutions that cross business process , platform configuration, automation, integration, and adoption is strongly preferred.
• Relevant certifications such as Atlassian certifications, ITIL Foundation, cloud/platform certifications, or AI/automation credentials are preferred but not required.

• Fluency in English, including written, verbal, and presentation communication skills.
• Ability to communicate effectively with technical teams, operational leadership, business stakeholders, and executive audiences as needed.
• Health Coverage options , along with other voluntary benefits
• Enterprise Udemy membership with access to thousands of personal and professional development courses
• Competitive pay and year-end bonus potential
• Flexible PTO
• Charitable Donation matching, along with Volunteer and Voting PTO
• Numerous team building activities to promote collaboration in a fun and fast-paced work environment

The AI & Business Enablement Engineer is a forward-deployed, hands-on technology role within Technology Service Management (TSM) focused on turning business needs into scalable, measurable solutions.

The role expands beyond traditional Jira Service Management administration and development by partnering directly with business and service teams to improve intake, triage, prioritization, workflows, automation, AI-enabled capabilities, reporting, and adoption.

The engineer will serve as a technical owner of the JSM platform while also working across adjacent enterprise systems to improve data flow and service delivery.

Success requires strong engineering capability, service management discipline, practical AI and automation judgment, and the ability to translate between business needs and technical solutions.