Senior Product Manager · Senior Product Owner

Prajakta P.

Bank of AmericaJPMorgan ChaseEnterprise Fintech

Enterprise Product Leader building digital platforms across Cloud, AI, FinOps, and large-scale transformation.

I turn enterprise complexity into scalable product strategy, operational clarity, and measurable business value across highly regulated technology environments.

Executive Snapshot

Operating where enterprise complexity is highest.

A decade leading product across multi-cloud ecosystems, AI enablement, governance, security, and cost optimization. My strength is turning ambiguity into structure — and strategy into shipped outcomes across distributed teams.
Multi-CloudFinOpsGenAI OperationsPlatform StrategyRegulated Enterprise
Featured Impact

Outcomes the business actually felt.

Selected metrics from enterprise initiatives across cloud, FinOps, and AI enablement.

10+
yrs
Product & technology leadership
$900M+
FY25
Cloud cost savings supported
700+
items
Compliance & security evidences resolved
20+
shipped
Automation initiatives delivered
What I Build

Four disciplines where I deliver disproportionate value.

01

Enterprise Product Strategy

Translate executive intent into platform roadmaps, prioritization frameworks, and outcomes leadership can defend.

02

Multi-Cloud Platform Enablement

Productize self-service capabilities across Azure, AWS, and OpenShift — adoption that scales with governance built-in.

03

GenAI & OpenAI Operations

Operating model, controls, and platform integration required to run enterprise AI at a regulated standard.

04

FinOps Automation & Cost Optimization

Data, automation, and reporting that turn cloud spend into a managed portfolio with executive accountability.

Case Studies

Strategic product work, told end to end.

Context, strategy, and the outcome the business felt — the way product leadership actually evaluates work.

Context

Enterprise teams navigated a sprawling cloud estate without consistent governance, self-service, or visibility — slowing delivery while raising regulatory risk.

Strategy

Anchored the roadmap to a small set of measurable outcomes, then aligned engineering, architecture, security, operations, and vendors on a shared sequencing. Productized platform capabilities with governance on the consumption path.

Outcome

Higher platform adoption, reduced operational friction, and a foundation that scaled enterprise cloud operations without scaling headcount linearly.

Cross-org alignmentReduced operational frictionAdoption at scale
Context

Cloud cost management lagged the pace of consumption. Reporting was reactive, controls were uneven, and leaders lacked the signal needed for portfolio-level decisions.

Strategy

Shipped automation, self-service workflows, usage analytics, and operational reporting across cloud environments. Aligned engineering and finance on ownership and decision rights.

Outcome

Contributed to $900M+ in FY25 cloud cost savings, materially improved efficiency, and gave executives a defensible view of the portfolio.

$900M+ FY25 savingsExecutive-grade reportingSelf-service controls
Context

Enterprise AI ambition was outpacing the governance, monitoring, and platform integration required to run it responsibly under regulatory scrutiny.

Strategy

Partnered across product, engineering, architecture, risk, compliance, and operations to align AI capabilities with enterprise standards — codifying the operating model and integration patterns.

Outcome

Advanced GenAI readiness across the platform, established AI-focused governance, and unlocked scalable enablement for downstream teams.

Production-ready governanceCross-risk alignmentScalable enablement
Leadership Approach

An operating philosophy built for ambiguity and scale.

Five principles I hold consistent across regulated, multi-stakeholder enterprise environments.

  1. 01
    Create clarity from ambiguity.
    Reduce a tangle of stakeholders and unknowns to a small set of decisions the team can move on.
  2. 02
    Align business goals with technology execution.
    Hold the line between executive intent and engineering reality so neither one bends the other out of shape.
  3. 03
    Lead through influence across complex groups.
    Operate without positional authority across risk, compliance, architecture, operations, and vendors.
  4. 04
    Balance speed, risk, governance, and value.
    Optimize for the trade-off curve — not any single dimension. Regulated platforms live on all four.
  5. 05
    Build products that scale beyond one use case.
    Design for the second and third adopter, where platform economics actually compound.
Skills & Technology Stack

A toolkit shaped by regulated, large-scale delivery.

Product Leadership

Product StrategyRoadmappingPortfolio PrioritizationStakeholder ManagementExecutive CommunicationOKRsAgile / SAFePlatform PM

Technology Domains

AzureAWSOpenShift / OCPEnterprise CloudGenAIOpenAI OperationsAPIsAutomationInfrastructureDigital Transformation

FinOps & Operations

CloudabilityCost OptimizationUsage AnalyticsGovernanceComplianceRisk ControlsOperational MetricsSelf-Service Platforms

Delivery & Collaboration

JiraConfluenceTableau / Power BIGrafanaPrometheusTerraform ConceptsCross-functional LeadershipVendor Management
Career Timeline

A decade across fintech and enterprise platforms.

  1. Current
    Bank of America
    Senior Product Owner · SVP
    Enterprise Cloud & AI Enablement — productizing cloud, FinOps, and GenAI operations across a regulated global platform.
  2. Prior
    JPMorgan Chase
    Technology & Product Delivery
    Platform and product delivery across enterprise technology, with cross-functional engineering and operations partners.
  3. Foundations
    Earlier Product Leadership
    Insurance · Asset Management · Operations
    Digital transformation programs across regulated industries — the foundation for today's platform thinking.
Let's Talk

Looking for a product leader who can scale complex enterprise technology into measurable business value?

Open to senior product leadership roles across fintech, enterprise SaaS, cloud platforms, AI enablement, and digital transformation.