Aditya Nimmala

Product leader with 14+ years of experience in translating business and customer requirements into scalable, high-impact software and platform solutions. Proven track record driving product strategy, roadmap execution, and backlog management across complex software and platform environments, while aligning cross-functional stakeholders and delivering measurable business value. Drove enterprise software migration and integration of valuation platforms with cloud ecosystems, improving accessibility, scalability, and performance.

Delivered AI-enabled product innovation as part of Valuation agent, enabling Financial Services professionals to perform complex property valuation workflows using natural language queries with greater speed and efficiency. Integrated machine learning framework to generate market assumptions as part of Valuation workflow, reducing manual research and streamlining the appraisal process. Delivered innovative, scalable solutions for diverse end-user groups in financial services domain including asset managers, valuers/appraisers and investment banking professionals.

Strong collaborator across cross-functional teams, adept at managing stakeholder expectations and aligning technical execution with business strategy to deliver customer-centric products. Led end-user interviews and surveys to evaluate customer pain points, feature usage and adoption.

Product Owner II at Altus Group (India) Private Limited (2023-01 – 2026-07)

Key Products & Achievements:

• Natural Language Capabilities on platform: Delivered Valuation Agent enabling valuers to run key property valuation workflows through natural language prompts and outputs generated by LLM, significantly reducing manual effort and manual data entry.
• Machine learning Integration: Integrated machine learning models to automate the derivation of market assumptions from diverse data sources, reducing manual research in property appraisals and providing LLM-based recommendations for each assumption.
• AI token allocation/usage dashboard: Defined an AI token usage and allowance tracking dashboard to monitor consumption across the platform, providing end-user administrators with clear visibility and control.
• Owned and continuously groomed the product backlog, prioritizing features based on roadmap goals, user impact, technical feasibility, and business value.
• Defined user stories with clear acceptance criteria for AI-driven features, ensuring alignment between business requirements and engineering delivery.
• Captured and prioritized improvement actions from sprint retrospectives, enabling measurable gains in velocity and product quality.
• Partnered with data science and engineering teams to integrate machine learning frameworks.
• Captured SME feedback and translated it into prioritized backlog items, enabling rapid turnaround and delivery of enhancements.
• Authored comprehensive release documentation to ensure clarity, consistency, and effective communication of product updates.
• Conducted user interviews and surveys to evaluate functionality usage, driving feature prioritization and streamlined releases for a unified platform experience.
• Elaborated features and user stories to migrate key administrative components of ARGUS Enterprise into the Altus Intelligence Platform.
• Transitioned key software access via AWS AppStream, improving performance and aligning with organizational platform standards.
• Led sprint demos for SMEs and stakeholders to ensure alignment on transitional changes.
• Partnered with customer-facing teams to design end-user communication strategies and authored comprehensive user guides, reducing onboarding friction and support ticket volume.
• Delivered robust, continuous data pipelines to extract modeling data from core AE, transforming it into JSON payloads for seamless integration across downstream apps like Asset Manager, Portfolio Manager, Benchmark Manager, and ARGUS Assist.
• Validated data pipelines built on AWS services including Lambda, Step Functions, and S3, ensuring accuracy and reliability of low-latency data flows.
• Elaborated technical stories to enable seamless data integration and ensured high data quality and accuracy.
• Demoed complex data pipelines illustrating how the integration and data flow from AE can be consumed by downstream platform apps

Associate Manager at ValueLabs Solutions LLP (2017-05 – 2022-12)

Key Products & Achievements:

• Defined requirements and owned product backlog for cloud access to AE, centralized cloud administration of AE and enterprise-grade role-based access control to ensure security and compliance across client accounts.
• Drove cross-functional alignment with LiveOps to develop migration utilities, to reduce turnaround time and track migration tickets.
• Conducted end-of-sprint demos to align executive stakeholders, customer success teams, and enterprise clients on technical delivery milestones and functional capabilities.
• Led backlog refinement and story sizing to maintain team velocity, ensuring sprint commitments and feature delivery.
• Gathered requirements for complex commercial lease structures, escalations, recovery structures, and scenario testing across diverse asset classes (Office, Retail, Industrial, Multi-family) for DCF and Traditional Valuation methods.
• Managed, refined, and prioritized the ARGUS Enterprise product backlog, translating high-level business requirements into detailed user stories, and clear acceptance criteria.
• Owned the functional enhancements for AE's executive and operational reporting suite (40+ customizable reports), improving report export capabilities, portfolio level banking metrics, data visualization for valuers.
• Owned L3 bug investigations per the defects review committee triaging and prioritizing items for release.
• Adhered to Agile scrum ceremonies (sprint planning, backlog grooming, retrospectives) and conducted sprint demos.

Business Analyst at DEMAS Technologies Pvt. Ltd. (2012-08 – 2017-05)

• Gathered and analyzed requirements, documented business processes, and prepared functional specifications.
• Created UML diagrams, wireframes, and UI mockups to support design and development.
• Assisted in UAT, managed change requests, and coordinated with cross-functional teams.
• Assisted in setting up CRM systems to improve client tracking and forecasting.
• Contributed to ERP and complaint management systems across insurance, logistics, and real estate domains.

M.S. in International Construction Management and Engineering – University of Leeds (2010)

B.E. in Civil Engineering – C.B.I.T., Osmania University (2008)