Naresh Ghawalkar
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About

Product leadership grounded in clarity, evidence, and collaboration.

Senior Product Manager with 15+ years of experience across product management, product ownership, business analysis, enterprise software delivery, and quality-focused execution.

Hyderabad, Telangana, India15+ yearsAI-powered SaaSEnterprise products
Naresh N. Ghawalkar, Senior Product Manager

Professional story

How I arrived at product leadership

I build products by turning ambiguity into clarity. My work sits at the intersection of customer workflows, product strategy, enterprise execution, analytics, and responsible AI thinking.

My career began in requirements engineering, UAT, process governance, and stakeholder facilitation. That foundation continues to shape how I work today: define the problem carefully, make trade-offs explicit, create shared understanding, and connect delivery to measurable outcomes.

My experience spans AI-powered SaaS, enterprise platforms, Smart City and Computer Vision, construction finance, Life Sciences, healthcare, EdTech, AgriTech, and regulated software environments.

I work across engineering, UX, QA, analytics, sales, support, business teams, and executive leadership to move products from discovery through launch, adoption, and continuous improvement.

Leadership philosophy

How I lead product work

My approach is designed to create shared clarity, trusted decisions, and better product outcomes.

01

Clarity before velocity

Teams move faster when the problem, outcome, constraints, and decision rights are understood.

02

Evidence before opinion

Customer insight, product data, operational reality, and technical feasibility should shape decisions.

03

Outcomes before activity

Shipping matters, but the real measure is whether the product creates meaningful user and business value.

04

Trust through transparency

Good product leadership makes trade-offs, risks, assumptions, and uncertainty visible.

Experience

Career journey

A progression from requirements quality and business analysis to enterprise product management and AI-enabled SaaS leadership.

  1. 2025–Present

    Senior Product Manager

    nGenue

    2025–Present

    AI-enabled enterprise SaaS strategy, roadmap governance, product-health metrics, and cross-functional alignment.

    AI opportunity assessmentRoadmap governanceEnterprise SaaSProduct health
  2. 2022–2025

    Product Manager

    Onpassive

    2022–2025

    Cross-functional execution, UX partnership, business-analysis mentoring, and executive reporting.

    Product executionUX collaborationStakeholder managementTeam mentoring
  3. 2019–2022

    Product Manager

    Vaco Binary Semantics

    2019–2022

    B2B SaaS requirements, backlog prioritization, dashboards, and construction-finance workflows.

    B2B SaaSFinancial workflowsDashboardsRequirements engineering
  4. 2017–2019

    Product Owner

    Iridium Interactive

    2017–2019

    Smart City, Computer Vision, public-safety workflows, traffic automation, and AgriTech product ownership.

    Computer VisionSmart CityProduct ownershipMulti-agency workflows
  5. 2016–2017

    Product Business Analyst / Project Coordinator

    Perigord

    2016–2017

    Regulated Life Sciences workflows, UAT, functional testing, change control, and implementation support.

    Regulated SaaSUATChange controlAudit readiness
  6. 2011–2015

    Senior Business Analyst

    NebuLogic

    2011–2015

    Requirements engineering, quality governance, UAT, stakeholder workshops, and change management.

    Business analysisQuality governanceUATStakeholder facilitation

Capabilities

Skills built for complex product environments

A practical mix of product strategy, AI judgment, delivery discipline, analytics, and enterprise leadership.

Product Strategy

Framing where to play, what to build, and how to measure value.

Product visionRoadmap strategyPrioritizationOpportunity assessmentProduct missionsBusiness-value alignment

AI Product Management

Designing AI-enabled workflows with quality, oversight, and production economics in mind.

AI use-case assessmentHuman-in-the-loopEvaluation criteriaResponsible AIData readinessAI product metrics

Discovery and Delivery

Connecting customer evidence to executable product requirements.

Customer workflowsPRDsEpics and user storiesAcceptance criteriaBacklog managementRelease readiness

Leadership and Collaboration

Aligning teams and stakeholders around outcomes and trade-offs.

Cross-functional leadershipExecutive communicationStakeholder facilitationMentoringConflict resolutionDecision transparency

Analytics and Product Health

Using evidence to understand adoption, workflow success, and business value.

KPI definitionProduct dashboardsProduct-health metricsAdoption analysisOperational metricsOutcome measurement

Enterprise and Regulated Products

Building within complex operational, security, compliance, and governance constraints.

Enterprise SaaSLife SciencesFinancial workflowsSmart CityChange controlAudit-oriented delivery

Credentials

Education, certification, and languages

Formal training in business and engineering, supported by professional business-analysis certification.

Education

MBA / PGDM in International Business

Indian Institute of Management Kolkata

Bachelor’s Degree in Computer Engineering

Jawaharlal Nehru Technological University

Certification

CBAPCertified Business Analysis Professional

International Institute of Business Analysis

Languages

EnglishTeluguMarathiHindi
Recruiter summary

Senior Product Manager for AI-powered SaaS and enterprise products.

Best suited for roles requiring product strategy, requirements clarity, cross-functional leadership, enterprise workflow expertise, product analytics, and responsible AI product thinking.

Primary focusSenior Product Manager / AI Product Manager
Domain strengthEnterprise SaaS, AI workflows, regulated and operational products
Leadership styleEvidence-led, transparent, outcome-oriented
LocationHyderabad, Telangana, India