Monash Talent
PRODUCT MANAGEMENT
Monash Talent was a one-of-a-kind program aimed at transforming graduate and early‑career recruitment by using smart matching to connect students with highly relevant job opportunities. The platform analysed thousands of data points about 100,000+ students to surface a short list of best‑fit candidates for employers. This dramatically reducing hiring friction.
As we approached go‑live, the project unexpectedly entered a zero‑risk data environment. As a result of the project, Monash University’s Data Privacy & Protection Office was in the process of defining new policies for student data usage, but those policies were not finalised, while our launch date was fixed.
This created a high‑stakes constraint: Deliver a compliant, future‑proof solution without clear requirements and with a fixed go-live date.
- No finalised privacy requirements, but certainty that consent, data minimisation, secure authentication and strict state management would be enforced
- Zero tolerance for data risk involving student information
- A third‑party technology partner (Weploy) involved in the MVP
- An opt‑out enrolment model that automatically included ~100,000 students (a major privacy concern)
- Tight go‑live deadline with no flexibility
PRODUCT STRATEGY
FIRST-PRINCIPLES PROBLEM SOLVING
DATA PRIVACY & SECURITY
STAKEHOLDER MANAGEMENT
SOLUTION DESIGN
DELIVERY UNDER AMBIGUITY
Product Strategy
Rather than waiting for policy decisions, I reframed the problem: What is the most secure, privacy‑preserving system we could build, even under the strictest interpretation of future requirements?
From this, I worked with the team to define non‑negotiable principles:
- Data minimisation by default: store only what is absolutely required
- Explicit, contextual consent: especially before sharing with third parties
- Separation of systems: MU‑owned vs third‑party environments
- Reversible risk: ability to revoke access and purge data at any time
- Invisible complexity: no additional cognitive load for students
Solution Design
I collaborated with the engineering team to design a privacy‑first architecture that balanced compliance, feasibility and user experience.
1. PII isolation and on‑demand access
- Monash Talent stored non‑PII data only by default.
- Personally identifiable information was retrieved only at the moment of active engagement (e.g. profile enrichment or job response).
- PII was accessed via secure, auditable APIs rather than persistent storage.
2. Automated PII purge mechanism
- Introduced a weekly data cleansing process that evaluated every record containing PII.
- Business rules determined whether PII could be stripped or must be retained.
- Ensured long‑term compliance with data minimisation policies.
3. MU‑owned consent & authentication layer
- Designed and shipped a new MU‑owned application where students authenticated and explicitly consented before data was shared
- Removed direct dependency on third‑party consent flows
- Created a clean boundary between Monash systems and Weploy’s platform
4. Seamless cross‑system experience
- Students transitioned between systems without being aware of backend hand‑offs
- Maintained a single, coherent journey despite complex background state management
Stakeholder Management
This work required alignment across multiple senior stakeholders:
- Data Privacy & Protection Office
- Security
- University executive leadership
- Engineering
- Third‑party partners
I led workshops, produced detailed solution diagrams and authored decision documents that:
- Translated technical trade‑offs into risk‑based language
- Pre‑emptively addressed concerns before formal policy decisions were made
- Built confidence that the system would remain compliant even as requirements evolved
- Designed a future‑proof, zero‑risk data architecture under extreme ambiguity
- Met all known and anticipated privacy, security and compliance requirements
- Avoided launch delays despite significant re‑engineering
- Delivered a solution that was simpler to build than initially expected due to clear principles and constraints
The Monash Talent project was poised to make a significant impact on the graduate and early-career talent recruitment markets.
For students: The platform would have provided access to pre-qualified job opportunities with minimal competition, offering job matches tailored to their skills, interests and preferences.
For industry partners: Monash Talent promised to greatly enhance recruitment efficiency, enabling them to focus on a select group of highly matched candidates instead of sifting through thousands of applications.
For Monash University: The platform would have strengthened industry relationships, improved graduate outcomes and provided direct insights into industry hiring trends, thereby informing and improving educational programs.
Unfortunately, due to a shift in priorities for strategic projects in the current financial climate, the project has been put on indefinite pause and was unable to launch to the market.
“Daniel is an absolute gun, I was lucky enough to work with him on the Monash Talent project and the quality of work was exceptional as well as the depth of thought and strategy, more than once I asked, "who did this?", due to the quality of the work, only to find out it was Daniel, absolute gun.” - Andrew Pritchett, CIO at Monash College.
"Daniel - Such a privilege for me to have worked alongside you since you joined the team. Your unique multidisciplinary mindset and skillsets allowed you to adapt quickly and make great contributions to the team. Your presence will simply infuse great energy and the positive 'can-do' energy to any team." - Steve Wu, Senior Business Analyst at Monash Talent.