$1B
Capital overlay removed
Led the product stream of an APRA regulatory transformation, delivered on time, that enabled the removal of a $1 billion capital overlay through governance, lineage and data quality controls. Nominated for the CEO Award.
Greater Sydney Area, Australia
Santhosh Angamuthu
Senior Product Leader | AI, Data & Enterprise Platforms
I build and scale AI and data products that solve high-consequence business problems, from regulatory transformation and risk platforms to enterprise AI adoption.
- 13+ years
- $1B capital impact
- $2M revenue recovered
- 20-member cross-functional squad
- Enterprise platforms at scale
Executive profile
Where I operate
I build products where technology, data and business outcomes intersect. Over 13+ years across banking, telecommunications and enterprise technology, I have led data platforms, AI-enabled products and regulatory transformations where product decisions directly move risk, capital, revenue and operational efficiency.
At Westpac I led the product stream of a regulatory transformation that enabled the removal of a $1 billion capital overlay and earned a CEO Award nomination. The same platforms now serve thousands of users across the enterprise.
My strength is turning complex enterprise problems into clear product strategy, aligning senior stakeholders and engineering teams, and delivering measurable outcomes at scale.
- Thousands
- Platform users enabled across the enterprise
- 20
- Cross-functional squad members led
- Multi-quarter
- Strategy and investment horizon owned
- Enterprise-wide
- Business units and domains served
Impact
What changed because of me
25%
reduction in monthly operating costs
A sustained 25% reduction in monthly operating costs, achieved by putting AI-enabled products directly into analyst and operations workflows, with efficiency up 20%.
40%
Stakeholder satisfaction lift
Measured through quarterly enterprise customer and stakeholder surveys on a B2B SaaS platform at Telstra, lifted by sharper prioritisation, release transparency and executive communication.
$2M
Revenue leakage recovered
Identified systemic leakage across enterprise telecom billing data, then partnered with technology and business teams to close the underlying data and process gaps.
Selected product leadership
Three problems I was accountable for
Case study 01Westpac · AI & Data Platforms
$1B regulatory transformation
Challenge
A complex regulatory and data environment carried significant capital implications. Data lineage, ownership and quality evidence were fragmented across domains, and the commitment dates were fixed.
My role
Product leadership across data, governance, risk and technology, accountable for the product stream of the program.
Trade-off I made
I chose tactical remediation first and the strategic platform second, rather than attempting the full transformation before the deadline. That meant consciously not rebuilding the end-state data model in flight, and defending that sequencing in executive forums as the lower-risk path to the regulatory outcome.
Outcome
- Regulatory commitments delivered on time.
- Enabled the removal of a $1 billion capital overlay.
- Nominated for the Westpac CEO Award.
What I did
- Defined the product strategy and the sequencing of tactical remediation against the strategic platform build.
- Prioritised ruthlessly against regulatory commitment dates, trading scope where evidence value was low.
- Aligned a 20-member cross-functional squad of engineering, data, risk and business stakeholders.
- Influenced senior stakeholders through executive forums and board-ready reporting that surfaced risk early.
- Established governance, lineage and data quality controls that could withstand regulatory scrutiny.
Case study 02Westpac · AI products in core workflows
AI-enabled operational transformation
Challenge
Analysts and operations teams spent most of their week on manual data preparation, reconciliation and report assembly. Cost per cycle was high and turnaround was slow, which pushed decisions later than the business needed them.
My role
Owned the AI product opportunity end to end, from discovery through delivery, guardrails and adoption.
Trade-off I made
I automated the repetitive workflow before layering assistive AI, and declined the higher-profile generative use cases until the underlying data was trusted. Slower to demo, far more defensible at scale.
Outcome
- Monthly operating costs reduced by 25%, sustained after delivery.
- Operational efficiency improved by 20%.
- AI capability adopted across thousands of platform users.
What I did
- Ran discovery against real workflows to find where AI created value rather than novelty, and rejected the rest.
- Chose the product decision deliberately: automate the repetitive workflow first, then layer assistive AI on top of trusted data.
- Partnered with engineering on delivery, with quality, accuracy and monitoring measured before scale-up.
- Set responsible AI guardrails covering secure access, monitoring and access-report reviews.
- Drove adoption through enablement, catalog adoption and sustained stakeholder engagement.
Case study 03Telstra · Customer-facing enterprise SaaS
B2B SaaS platform turnaround
Challenge
Enterprise customers were losing confidence in the platform. The backlog was driven by escalations rather than strategy, releases were unpredictable and stakeholders across multiple time zones had no clear line of sight.
My role
Technology Product Owner, accountable for backlog, roadmap and the delivery relationship with enterprise customers.
Trade-off I made
I held the roadmap against escalation pressure, accepting short-term customer friction to restore platform stability and predictable releases.
Outcome
- Stakeholder satisfaction lifted by 40%.
- Platform stability improved with material cost savings.
- Escalation-driven delivery replaced by a roadmap customers could plan against.
What I did
- Diagnosed the real problem as prioritisation and communication, not engineering capacity.
- Rebuilt the roadmap around customer pain points and measurable platform stability.
- Introduced transparent release and escalation communication across time zones.
- Partnered with engineering on CI/CD and DevOps to make delivery predictable.
Leadership
How I lead
01
Start with the business problem
I do not start with technology. I start with the outcome the organisation needs, then work back to the product decision that gets there.
02
Make complexity simple
I turn fragmented enterprise demand into a small number of clear product priorities and a roadmap people can actually execute.
03
Align before accelerating
Business, engineering, data, risk and executives agree on the destination before I scale delivery. Alignment first is faster overall.
04
Measure outcomes, not activity
Success is business impact, adoption, risk reduction and customer outcomes, not throughput or story points.
05
Build for scale
I design products, platforms and operating models that keep working long after the initial delivery is signed off.
Experience
Where I've delivered
Product Leadership, AI & Data Platforms
07/2022 - Present
Westpac · Sydney, NSW
- Owned the product vision and multi-quarter strategy for AI and data platforms, aligning investment with business priorities, regulatory commitments and platform maturity.
- Led the product stream of an APRA regulatory program, delivered on time, enabling the removal of a $1 billion capital overlay; nominated for the CEO Award.
- Set direction for a 20-member cross-functional squad, translating fragmented enterprise demand into prioritised themes and defensible roadmap decisions.
- Delivered AI-enabled products into core operational workflows, reducing monthly operating costs by 25% and lifting operational efficiency by 20%.
- Established AI and analytics guardrails, including secure access, monitoring and access-report reviews, so innovation moves fast without breaching compliance.
- Chair executive-level forums and deliver board-ready reporting that surfaces risk early and shapes investment decisions.
- Drove platform adoption at scale across thousands of users through enablement, catalog adoption and sustained stakeholder engagement.
Technology Product Owner
08/2019 - 06/2022
Telstra · Melbourne, VIC
- Owned the backlog, roadmap and sprint planning for a customer-facing B2B SaaS platform, translating customer pain points into prioritised enhancements.
- Lifted stakeholder satisfaction by 40% through disciplined prioritisation and transparent communication across multiple time zones.
- Partnered with engineering on CI/CD and DevOps initiatives, improving platform stability and delivering material cost savings.
- Acted as the delivery face to enterprise customers, owning structured communication, escalation and risk management.
Senior Test Engineer & Technical Business Analyst
12/2015 - 08/2019
Wipro · Bengaluru, India
- Extracted and analysed complex datasets to identify and fix revenue leakage, recovering $2M in revenue.
- Led PI planning, story estimation and backlog refinement, and authored the technical design documentation.
- Built Python automation for REST API calls and reporting, and Selenium/Java suites for web application testing.
- Mentored engineers and held accountability for on-time delivery and defect tracking across the program.
Software Test Engineer
12/2012 - 12/2015
Wipro · Hyderabad, India
- Analysed business requirements and design documents to define and prioritise test scenarios with the product owner.
- Authored, maintained and executed the test suite, reported defects and provided QA sign-off for release.
AI product leadership
What I actually do with AI
AI strategy
- Identifying high-value enterprise AI opportunities
- AI product discovery and prioritisation
- Sequencing automation before assistive AI
AI delivery
- AI-enabled workflow automation in core operations
- GenAI and Copilot capability integration
- Experimentation through to productisation
Responsible AI
- Governance and guardrails
- Secure access and access-report reviews
- Monitoring and risk management
Measurement
- Adoption across thousands of users
- Quality and accuracy review before scale
- Efficiency and business impact
What I bring
What I bring to product leadership
Product strategy
- Vision
- Portfolio strategy
- Roadmaps
- Product discovery
- Prioritisation
AI & data
- AI products
- Data platforms
- AI governance
- Data products
- Analytics enablement
Enterprise transformation
- Regulatory transformation
- Operating models
- Platform adoption
- Risk & controls
Leadership
- Executive influence
- Cross-functional leadership
- Engineering partnership
- Change management
Credentials
Certifications, awards & education
Certifications
- SAFe® Product Owner / Product Manager
- Certified Scrum Product Owner (CSPO)
- AI Product Manager, RMIT University
- Lean Six Sigma Yellow Belt
- Ethics in the Age of Generative AI
Additional learning
Lean Six Sigma White Belt · Learning Microsoft 365 Copilot · Copilot in Teams: AI-Powered Collaboration · Product Management Insights
Awards
CEO Award Nomination, Westpac
For leading the product stream of the regulatory commitment program, delivered on time, that enabled the removal of a $1 billion capital overlay.
Education
Master of Technology, Computer Software Engineering
Birla Institute of Technology and Science, Pilani
2014 - 2017
Bachelor of Engineering, Electrical, Electronics & Communications
Anna University
2009 - 2012
Thinking
What I'm thinking about
Enterprise AI
How organisations move from AI experimentation to measurable business value, and what has to be true operationally before that happens.
Data as a product
Building trusted data foundations, with real ownership and lineage, that accelerate AI adoption instead of blocking it.
Platform operating models
Designing teams and operating models that balance speed, governance and accountability as platforms scale.
LinkedIn is where I write about this in the open. Follow my product leadership journey there.