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iPipeline

End-to-end life insurance sales platform

Technical Business Analysis Consultant

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeWayne, PA, USANo salary listed

About the Job

Requirements

  • At least 6 years of experience in solution analysis, design, and implementation focused on complex business problems through configuration and development of low-code/no-code platform solutions, or equivalent related experience.
  • In-depth knowledge of client discovery, requirements definition, solution assessment, system architectures, integrations, implementation support, and the software development lifecycle.
  • Expertise in elicitation, analysis, modeling, documentation, and validation techniques in complex, multi-stakeholder client environments, including independently producing comprehensive functional and non-functional specifications with clear acceptance criteria.
  • Expertise in business analysis methodologies, process analysis, needs assessment, and evaluation of solution options.
  • Deep knowledge of system architecture, platform capabilities, integrations, APIs, and data flows; ability to lead integration projects involving multiple systems, platforms, and APIs, assess available technologies and constraints, recommend integration approaches, and design and document comprehensive solutions.
  • Ability to create clear requirements models, process maps, solution documentation, data flows, user guides, and training materials for business and technical audiences.
  • Ability to define test scenarios from specifications, analyze test results and defects, support integration and user acceptance testing, and confirm delivered solutions meet client requirements.
  • Advanced knowledge of SQL or querying tools for data extraction, analysis, troubleshooting, solution validation, and advanced querying with SQL or NoSQL; strong understanding of relational database concepts, table relationships, and data structures used for platform configuration and client solutions.
  • Proficiency with requirements and backlog management tools such as Jira and Azure DevOps; process-modeling and diagramming tools such as Lucidchart, Microsoft Visio, and Miro; collaborative documentation platforms such as Confluence and SharePoint; and testing management tools such as Zephyr for Jira and TestRail. Experience with AI-assisted documentation, diagramming, and analysis tools.
  • Foundational understanding of AI/ML concepts, including supervised and unsupervised learning, natural language processing, and generative AI, sufficient to evaluate AI applicability, communicate with AI engineering teams, and assess AI-driven tools for business-analysis workflows.
  • Proficiency in reading, debugging, and discussing code logic with developers; ability to write targeted scripts or basic SQL queries to validate requirements, test solutions, or support ad hoc data analysis.
  • Expert analytical and consulting skills, including structuring ambiguous client problems, identifying root causes, evaluating options, and recommending practical solutions.
  • Demonstrated experience working in an Agile environment; Scrum experience is preferred.
  • In-depth understanding of data security, privacy regulations, and compliance standards such as GDPR and HIPAA, and how they apply to technical solutions.
  • Ability to create documentation and communicate requirements, options, findings, and recommendations to end users, technical teams, clients, and senior stakeholders.
  • Ability to assist and support less experienced team members on requirements approaches, platform concepts, and technical project work as needed.
  • Ability to manage multiple tasks, prioritize workload, take ownership and accountability, drive work to resolution, and deliver commitments with minimal direction.
  • Strong negotiation and stakeholder-management skills, including the ability to align business goals with technical capabilities.
  • Proactively identify needed adjustments within the area of responsibility, challenge existing approaches, and set priorities to improve effectiveness.

Responsibilities

  • Partner with clients, end users, and business stakeholders to design, deliver, and support solutions for complex business needs; understand clients’ structures, policies, operations, and objectives; translate them into functional and technical specifications; assess platform capabilities and technology options; and align solutions with client operations.
  • Lead analysis, design, and implementation of complex technical projects using product functionality, configurable platform components, custom solutions, and system integrations, owning solutions from initial requirements through production support.
  • Work with clients to understand current-state processes, identify improvement opportunities, validate requirements with unambiguous acceptance criteria, and lead elicitation, documentation, analysis, modeling, and refinement of complex business and technical requirements.
  • Conduct needs assessments, evaluate technical feasibility and available technology options, recommend approaches, and develop preliminary effort estimates to support client decisions.
  • Use AI-powered tools, including natural language processing, to accelerate requirements extraction, identify patterns across requirement sets, and detect specification gaps or conflicts.
  • Translate business requirements and user needs into functional specifications, process flows, solution documentation, user stories, acceptance criteria, and supporting artifacts.
  • Apply platform functionality, configuration capabilities, integration patterns, and solution-analysis practices to assess options, identify constraints, and recommend solutions aligned with business objectives, maintainability, and delivery constraints.
  • Identify and recommend process improvements when proposed solutions do not align with platform capabilities, maintainability, or business objectives.
  • Design, configure, build, test, deploy, and support solutions in the low-code platform; evaluate configuration and integration options, recommend maintainable approaches, and own solutions throughout their lifecycle.
  • Translate client objectives and requirements into solution designs, functional and technical specifications, platform configurations, and implementation specifications.
  • Create, analyze, and validate detailed specifications using Use Case, Sequence, Activity Flow, Class Diagrams, and process-flow-diagram methodologies.
  • Evaluate how AI/ML capabilities, including predictive analytics, intelligent automation, and natural language processing, and other emerging technologies could enhance client outcomes; document benefits, risks, and feasibility and collaborate with technical teams on complex applications.
  • Use AI-assisted documentation and diagramming tools to draft, review, and maintain accurate and consistent specifications across projects.
  • Analyze current-state processes, identify gaps, and recommend practical improvements to align technology solutions with client operations.
  • Maintain awareness of architectural and platform standards, identify deviations or risks in proposed solutions, and raise them with architecture, product, or development stakeholders.
  • Use development and solution specifications to define test scenarios and acceptance criteria; execute and support functional, integration, and user acceptance testing; analyze results and defects; document findings; and coordinate corrective actions through resolution.
  • Provide requirements clarification and functional guidance during configuration, development, testing, and deployment to ensure solutions meet documented client requirements.
  • Design and deliver client and technical documentation, including requirements models, functional and technical specifications, process flows, system architecture diagrams, data models, integration specifications, decision records, end-to-end data flows, user guides, release materials, and training content, ensuring accuracy, completeness, and traceability to client needs.
  • Present solution designs, options, functional and technical specifications, process-flow diagrams, and recommendations addressing client and business requirements.
  • Engage product and development teams when platform limitations or enhancement requests require custom solutions beyond configurable capabilities.
  • Facilitate client meetings, discovery sessions, requirements reviews, solution walkthroughs, and training; clarify requirements and answer functional questions throughout engagements.
  • Provide technical leadership in stakeholder workshops and meetings and communicate ideas and viewpoints to senior management.
  • Use analysis and visualization tools to communicate findings, compare solution options, and support evidence-based client recommendations.
  • Serve as a key contact for gaps and high-impact technical and business decisions within assigned engagements, ensuring alignment with long-term business goals.
  • Coordinate across Professional Services, Marketing, Business Insight, IT Operations, database administrators, and Delivery.
  • Collaborate with Product and Research and Development teams when modifications to the underlying platform code or core application functionality are required.
  • Raise risks, issues, and dependencies to the Business Owner promptly, offer mitigating actions, and own individual items.
  • Establish and maintain organizational methods for managing, tracking, and sharing work and information across teams; keep dependencies, risks, decisions, and outstanding actions visible and coordinated through completion.
  • Assist Scrum teams with managing sprint backlogs and creating, defining, and monitoring stories; facilitate discovery and design sessions against the prioritized backlog; and assist with Jira backlog administration.
  • Provide ongoing production support, including system maintenance, issue investigation and resolution, and incident response; continuously enhance solutions to address evolving business needs and improve functionality, efficiency, and user experience.
  • Identify recurring themes in client issues and recommend targeted process or product improvements.
  • Guide clients through issue resolution by evaluating solution options, implementing or coordinating corrective actions, communicating status, and validating resolutions against documented requirements and acceptance criteria.
  • Investigate complex client business-process, application, integration, and data issues; document current and expected behavior, assess business impact, identify root causes and corrective actions, and coordinate with technical teams as needed.
  • Drive continuous improvements in system architecture, business processes, and client workflows, including identifying opportunities for AI-driven process mining, intelligent automation, and predictive analytics to reduce manual effort and improve decision-making.
  • Review current and future processes within the business-analysis function and across development teams to improve efficiency and define standards.
  • Ensure all solution components are aligned and the delivered solution functions as a cohesive end-to-end process.

Desired Qualifications

  • A background in financial services, including general or life insurance, is encouraged.
  • Experience working within an Agile environment, preferably on a Scrum team.

About the Company

iPipeline

End-to-end life insurance sales platform

iPipeline provides cloud-based software for the life insurance, pensions, and financial services sectors. Its platform offers an end-to-end solution that supports the entire sales cycle—from initial quotes and illustrations to electronic applications and policy processing. Targeting financial advisers, insurance carriers, and distributors, iPipeline delivers a suite of integrated tools on a subscription/licensing model to help clients streamline operations, cut down on paperwork, and speed up the sales process. Its products include quoting engines, e-applications, and policy processing that can be embedded into a client’s existing workflow. Compared to competitors, iPipeline emphasizes a cohesive, all-in-one platform designed for B2B use in insurance and wealth management, rather than a collection of standalone tools. The company’s goal is to enable faster, more accurate product recommendations and smoother policy administration across the life and retirement product lifecycle.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$104.4M
Headquarters
Upper Merion Township, Pennsylvania
Founded
2004

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