Intelletto.ai - Sidecar Lens (Candidate Dashboard)

Candidate: Scott Byron Darrow

Strategic Tech Leader - CTO / Chief Architect AI - Cloud - FinTech - Enterprise Systems Auckland / Manila

Culture Fit

for Intelletto.ai

Purpose: quick signal to prioritize candidate review.

Methodology

JD Candidate Website LinkedIn Profile Original Resume Parsed Resume Status: Longlist – Ready for HM

Role Compatibility Score

Fit for CTO at "Intelletto.ai"

Parsing Health

100%

Clean parse - No errors

Completeness Index

96%

After Data Fusion enrichment incl. references

Confidence

0.95

Model certainty (0 to 1)

JD Alignment — CTO at Intelletto.ai

This candidate presents as an enterprise-class CTO who has already delivered most of what this JD is asking for — at scale, across multiple industries, and with a strong AI/data orientation. The role describes a technology leader who can turn platforms into strategic assets, modernize core systems without destabilizing operations, and communicate clearly to executive and customer stakeholders. That is the default operating mode in this profile.

Platform and architecture fit: the JD requires proven enterprise platform leadership — not just building apps, but running multi-tenant, high-availability, compliance-aware estates. This candidate has led platforms across FinTech, eCommerce, BPO, logistics, and HR-tech, which demonstrates repeatable patterns for integration, observability, and scale. Their emphasis on sidecar / attach AI architectures matches your implied modernization strategy: augment existing systems instead of replacing them, so the business keeps operating while intelligence is layered in.

AI, data, and search execution: your JD wants a CTO who can operationalize AI — not just evangelize it. This candidate has run AI-anchored capabilities such as resume parsing and scoring, semantic/hybrid search with OpenSearch, GraphQL federation, AI-assisted performance management, and data-fusion enrichment. That proves they know how to pick building blocks, instrument them, and wrap them in governance. For a role that touches customer and regulated data, their governance-by-design, PDPA/GDPR-aware stance is a material alignment.

Security, compliance, and integration: the JD calls out secure, auditable delivery and coexistence with existing identity and collaboration platforms. This candidate has worked in regulated, multinational environments and explicitly references data minimization, IAM/RBAC, audit trails, and secure microservices. That enables Intelletto.ai to expose more customer- or talent-facing capabilities without writing the compliance story from zero.

Leadership and stakeholder fluency: the role expects ELT-facing communication and the ability to explain platform direction to customers. This candidate highlights executive communication, board/stakeholder engagement, mentoring, and cross-cultural leadership (PH • AU • NZ). That aligns to a CTO who can set direction, win support, and keep delivery honest — and who can support sales, customer success, and partner conversations, not just internal engineering reviews.

Transformation at scale: your JD implies parallel modernization — evolve to modern patterns while still shipping. The candidate already uses modular microservices, Flutter microfrontends, GraphQL gateways, shared IAM, and CI/CD to enable multi-stream execution. That is the exact pattern an organization needs when it wants to improve time-to-value without a risky big-bang rewrite.

Probe areas: marketplace/proptech depth and the level of formal DEI/CSR program sponsorship may need clarification in interview. These read as context gaps, not capability gaps, and can be bridged through domain briefings and alignment with Intelletto.ai’s operating model.

Overall alignment signal: Strong. This candidate matches the JD on enterprise architecture, AI/data integration, secure and compliant delivery, and executive-facing leadership — and, importantly, on the goal to modernize while keeping the business running.

Skills Match — Hard and Soft Skills

Green = in JD and candidate, Blue = candidate only, Red = in JD but missing/weak in candidate

All skills from JD and candidate are shown as pills. Color shows source/coverage: Green = in JD and candidate, Blue = candidate only, Red = in JD but missing/weak in candidate. Columns below are by skill type (Hard vs Soft).

Hard Skills

Tech strategy & multi-year architecture Modular / API / event-driven platforms Cloud-native (AWS) / SaaS modernization CI/CD, DevSecOps, quality gates Data platform, catalog, lineage Security / privacy-by-design Operationalized AI (models, guardrails) AU/NZ-specific regulatory stack SLO 99.95% (explicit) MTTR < 30 minutes SBOM / SCA coverage Marketplace / proptech exposure AI/ML systems for recruitment, HR, platform intelligence Predictive candidate / workflow scoring AI interview simulation (AWS Bedrock) NLP-based enterprise assistants Agentic AI (ADAM, AVAR, Emparse, EmScore) Human-in-the-loop and consent-aware AI Enterprise & modular architecture (ERP/MRP/SCM) GraphQL federation & service mesh Microservices, blue/green, serverless Observability (Prometheus, OpenTelemetry) Flutter-based Super App Development Talent Recruitment Management (TRM) Talent Marketplace (ETM) Semantic / keyword / vector search (OpenSearch) TOP (Talent Onboarding Platform) with AIM Time & Attendance with geofencing Multi-country leave management HRIS core with RBAC (Keycloak IAM) FinTech / Open Finance, KYC/AML automation SSI & consent engines (Hyperledger Indy) High-throughput data pipelines (Spark, Kafka, OpenSearch) Environmental / GIS data platforms eCommerce & payment-gateway platforms Flutter microfrontends + Northstar design system ITIL-aligned banking/operations systems Regulatory stacks (BSP, AMLC, Open Finance PH, GDPR, PDPA, DPA)

Soft Skills

Executive / board-facing communication Stakeholder & product partnership High-trust change leadership Mentoring / communities of practice Outcome / OKR-aligned communication Inclusive, low-ego collaboration Vendor negotiation & partner ecosystem management Culture-building around accountability, reliability, security Public / brand-facing technology representation Strategic advisory (NZTE, ADB, govt agencies) Multi-region team scaling (PH • AU • NZ) Leading cross-functional AI teams (human-in-the-loop) Market enablement & offshore capability development Formal DEI reporting cadence

Use red pills as interview probes; use blue pills to highlight candidate’s additional value not requested in the JD.

Data Fusion

Single candidate view built from multiple artifacts (resume versions, public profiles, recommendations, internal system data) with normalization and trust scoring — so Intelletto.ai reviewers see one clean record, not five partial ones.

Unified Candidate

Merged historical resumes, LinkedIn signals, and site profile into one entity, removing duplicate role entries and title drift.

Taxonomy Mapping

Titles, skills, and domains aligned to Intelletto.ai skill taxonomy to support JD-to-candidate comparison and scoring.

Enrichment

Added advisory, awards, AI/engineering programs, and published work as supporting signals for seniority and culture fit.

Trust

High — sources agree on identity, career arc, and leadership scope.

Multiple resume versions → 1 canonical record
Conflicting titles resolved using latest date + LinkedIn
Org names normalized for search and reporting

Leadership signals from public profile (CTO / Chief Architect)
Program/initiative work: AVAR, AI sidecar, HR-tech platforms
Recommendations ingested and tagged to culture dimensions

Assumed authorship of recommendations — confirm on shortlist
Some awards have year but not issuing body — add if needed
If role requires AU/NZ regulatory depth, request explicit project list

Outcome: one reliable candidate object that downstream scoring (JD alignment, skills pills, culture heatmap) can consume without re-parsing.

Why this score?

Team Orientation (96): repeated themes of dignity, trust, and building high-performing teams.
Innovation and Risk (98): cutting-edge programs (AVAR, open source adoption, visualization).
Ownership (97): no-nonsense delivery, sales enablement impact, quality bar.
Growth Mindset (95): mentoring, knowledge sharing, autonomy, recognition systems.
Authenticity (95): communicates clearly to any audience; transparent governance.
Heart (92): empathy and people development noted across multiple references.

Methodology: weighted blend aligned to Intelletto.ai values; signals fused from resume, public profiles, and recommendations; confidence upweighted by cross-source agreement.

Culture Fit at Intelletto.ai

One Team - 96/100 dignity trust low ego
Re-imagine It - 98/100 cutting edge open source
Own It - 97/100 delivery quality
Inspire Growth - 95/100 mentoring recognition
Keep it Real - 95/100 clarity governance
Do it with Heart - 92/100 empathy inclusivity

Comparator - CTO at Intelletto.ai

Non-negotiables

Enterprise platform leadership; global orgs; AI/ML strategy; security and compliance

Preferred

Marketplace or proptech exposure; data monetization; sidecar or attach architectures

Gap prompts

Community or CSR highlights; explicit WLB programs championed; recent DEI initiatives

External Signals

LinkedIn: posts on AI ethics and dyslexic thinking; leadership narratives
Awards or Programs: Oracle Technology Company of the Year; AWS GenAIIC acceptance
Advisory: NZTE Beachheads (APAC go-to-market)

Recruiter Timeline

Today

Moved to Longlist – Ready for HM after recruiter interview and JD alignment check.

-1d

Recruiter interview completed; notes captured in dashboard; gaps for HM flagged (marketplace, DEI/CSR, FinOps).

-2d

Data Fusion pass completed; single candidate view generated; trust set to High.

-3d

Resume parsed (v3) and skills/titles normalized for JD comparison.

-5d

Candidate sourced/ingested into pipeline for CTO – Intelletto.ai requisition.

Audit and Compliance

Snapshot ID: SL-CCS-2025-09-19-R5
Models and prompts versioned; human-in-the-loop override log enabled
Data minimization: personal attributes excluded; lawful basis recorded

Recruiter Notes

Notes from recruiter interview with candidate (context: CTO, Intelletto.ai).

Overall impression: senior, confident, and comfortable operating at board/ELT level. Narrative is consistent with resume and public profile.
Architecture & modernization: gave clear examples of moving legacy workloads to microservices and GraphQL gateways while keeping BAU stable. Strong alignment to Intelletto.ai’s “augment, don’t replace” direction.
AI & data readiness: candidate described real implementations (resume parsing & scoring, AVAR, OpenSearch hybrid) and emphasized governance-by-design (PDPA/GDPR). This was not theoretical.
People leadership: emphasizes building parallel teams, mentoring senior engineers, and using clarity in comms to align business and tech. Good fit for multi-country delivery (PH/AU/NZ).
Customer / stakeholder handling: said they routinely join client/executive calls to explain tech roadmaps in business terms — useful for Intelletto.ai’s customer-facing posture.
Gaps / to probe with HM: depth of marketplace/proptech exposure; how much time they can commit to formal DEI/CSR programs; examples of recent cost/FinOps work.
Risk signals: candidate runs at a strategic altitude — ensure we pair with a strong delivery lead or PMO for day-to-day cadence.
Recommendation: proceed to hiring manager interview; send JD ahead of time and ask for a 15–20 minute platform walkthrough so HM can assess depth.