Lead Business Analyst

Lead Business AnalystThe Lead Business Analyst is a high-impact individual contributor with potential management responsibilities. This role partners with business and technology teams to deliver technical products from inception through ongoing maintenance, supporting enterprise transformation at Parametric.The role requires a proactive, self-directed individual who engages cross-functional partners, drives alignment, and independently identifies and resolves issues. As part of a broader Solution Management and Business Analysis team, this role models best practices in stakeholder engagement and business analysis.What success looks like:Translate business needs into clear, actionable requirements and analysis artifacts that enable efficient design, development, and delivery with minimal rework.Drive alignment across business and technology stakeholders by facilitating decisions, clarifying tradeoffs, and surfacing risks, dependencies, and impacts early.Improve solution quality and business adoption by supporting effective user testing, validating readiness for production, and helping teams implement changes successfully.Lead complex, cross-functional analysis efforts with a proactive, enterprise-minded approach that connects process, data, and technology decisions to broader business outcomes.Model strong business analysis practices through high-quality documentation, stakeholder engagement, and effective use of tools, including AI, to improve team productivity and outcomes.Primary responsibilities:Conduct user research and requirements elicitation with business partners to define the business need, clarify impacts, and translate findings into clear analysis deliverables.Gather, analyze, and document business requirements to support design and development, including current and future state workflows, user stories, acceptance criteria, data mappings, and wireframes or prototypes as needed.Partner with business stakeholders, developers, and cross-functional teams to align solution direction, advocate for business needs, and identify dependencies across systems, data, and processes.Facilitate cross-functional meetings and workshops that drive decisions on target operating models, business processes, and data-related policies.Support solution delivery by contributing to backlog development and prioritization, advising development teams and product owners on business-facing enhancements, and adapting effectively to Agile or other ways of working.Assist with user acceptance testing, validate production readiness and completeness, and support successful business adoption of delivered solutions.Apply strong knowledge of Parametric's asset management business, technology landscape, and enterprise objectives to inform analysis, recommendations, and future-state decision-making.Use AI and other tools to improve the quality, efficiency, and strategic value of analysis work products and solution outcomes.Job requirements:Bachelor's degree requiredMinimum of 8 years of experience in business analysisStrong domain knowledge of asset management and equity direct indexingCommunicate effectively, both verbally and in writing, with peers, technology colleagues, and business partners, including strong questioning and listening skillsTailor communication to the audience, delivering clear and concise messaging appropriate to their level of understanding and interest. Document meetings and work, and communicate decisions through concise written contentStrong experience in querying, mapping and documenting dataAdvanced experience working with Agile/Lean/Kanban software development processesAdvanced skills using a variety of tools to document workflows and data mapping, including but not limited to Excel, Visio, Lucid, and FigmaUnderstanding of analysis and documentation goals throughout the project lifecycleAbility to learn quickly and adapt in a fast-paced, high-demand environmentAbility to independently manage personal timelines and meet deadlinesAbility to successfully manage multiple initiatives and deliverables simultaneouslyExperience prototyping with AI capabilitiesAdvanced skills using data analysis tools including SQL, Excel, Visio, Lucid, Figma, Tableau, and Python