Xero

Product

LeadTechnicalProductManager

A$175–245k ~AI est. Melbourne, Victoria, Australia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Technical Product Manager at Xero. Skills: Product management, Data platform modernization, AI integration. Lead modernization of marketing data platform. Drive AI integration across data products”

What You'll Achieve.

Deliver deep intelligence

Industry & Context.

Product
Problems you'll solve

Data-driven decision making

What They're Looking For.

Must Have

Deep technical familiarity with big data systems, Proven ability to communicate data concepts, Experience operating autonomously, Skill in managing conflicting priorities, Commercial mindset, Comfort partnering with engineering and data science

Nice to Have

Experience with AI, Experience with real-time data products, Background in marketing or sales data

What You'll Do.

Lead modernization of marketing data platform

Drive AI integration across data products

Bridge gap between engineering systems and business needs

Ensure foundational architecture supports data science

Replace legacy frameworks with scalable solutions

Translate business strategies into requirements

Balance architectural transformation with product deliveries

Empower data-driven decisions

Influence interaction with intelligence systems

Upgrade architectural framework into data ecosystem

Unify fragmented data sources

Establish single source of truth

Embed AI capabilities into workflows

Outline reporting enhancements

Deliver reporting enhancements

How You'll Work.

Team & Collaboration

Cross-functional teams; Commercial stakeholders; Data engineering teams; Applied science teams; Sales teams; Marketing teams; Customer support teams

Communication Scope

Data concept communication

Process & Methodology

Roadmap planning

Full Job Description

The role / impact You will lead the modernization of our marketing data platform and drive the integration of artificial intelligence across our data products. Operating independently, you will bridge the gap between complex engineering systems and business needs, ensuring our foundational architecture supports sophisticated data science and analytics. Your focus will remain on dismantling data silos and replacing legacy frameworks with highly scalable, real-time data solutions. Your impact will be felt globally as you collaborate with commercial stakeholders to translate business strategies into actionable, deliverable requirements. By balancing long-term architectural transformation with incremental, high-value product deliveries, you will empower teams to make confident, data-driven decisions. Ultimately, your work will directly influence how internal teams and external customers interact with our intelligence systems. The team / how they connect You will join a multidisciplinary team of approximately fifty specialists, including data engineers, data scientists, applied scientists, market insights professionals, and economic researchers. This collective manages the go-to-market data engineering, science, and research capabilities across Australia, New Zealand, the UK, and the US. Together, they function as a collaborative network focused on re-evaluating and modernising our data stack to deliver deep intelligence. Initially, you will focus on: - Navigating and upgrading a fifteen-year-old architectural framework into a modern data ecosystem. - Unifying fragmented, duplicated data sources to establish a single, trusted source of truth for the business. - Collaborating with data engineering and applied science leads to embed artificial intelligence capabilities into frontline workflows. - Partnering with sales, marketing, and customer support business units to outline and deliver immediate reporting enhancements. Where and how you can work This position is ideally

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