Business, Strategy & Operations Lead at Relyance AI

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

2–5 years’ experience in Big 3 consulting (McKinsey, Bain, BCG)
Strong structured problem-solving skills and a clear communication style
Excellent financial and analytical acumen, with the ability to build detailed models as well as produce fast, directional modelling to support decisions
Bias for action, high ownership, and comfort operating as a generalist
STEM/Legal/Maths background preferred
Prior experience in tech or startups is highly valued
Genuine deep interest in AI and eagerness to learn the agent ecosystem quickly

Responsibilities

Develop and execute strategies that unlock high-impact opportunities and global market expansion
Conduct market and competitive analysis to design go-to-market strategies
Build financial models, forecasts, and scenario analyses to guide executive and board decisions
Rapidly scope, structure, and solve cross-functional business challenges
Identify bottlenecks, propose improvements, and scale processes sustainably
Lead special projects ranging from new market plays, partnership initiatives, operational improvements, or founder-priority strategic bets

Skills

Financial Modeling

Forecasting

Scenario Analysis

Market Analysis

Competitive Analysis

Go-to-Market Strategy

Structured Problem-Solving

Process Improvement

Strategic Planning

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters

2020Year Founded

$60.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

51-200Employees