Senior Product Manager – Data

Iress

. Set the vision and roadmap for data products and platform capabilities, aligned to customer needs, business priorities and technology investment .

Posted 11/10/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive product management experience with a focus on data products and platforms, emphasizing strong understanding of modern data ecosystems, governance, and stakeholder alignment. Proven ability to drive product lifecycle from strategy to measurable outcomes while championing data quality and accessibility.

Highest-signal resume keywords

Product Management ExperienceData Ecosystem UnderstandingStakeholder AlignmentData Quality GovernanceRoadmap Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Product Lifecycle ManagementData ArchitectureData PipelinesData ModellingData GovernanceData PrivacyData ConsumptionAnalytical JudgementDiscovery and PrioritisationSuccess Measurement

Soft Skills

Influencing Senior StakeholdersBuilding RelationshipsTranslating Complex ChallengesCommunication SkillsCollaboration

Industry Keywords

Financial AdviceWealth ManagementBankingSuperannuationInsuranceFintechWealthtech

About the role

Key responsibilities & impact

Set the vision and roadmap for data products and platform capabilities, aligned to customer needs, business priorities and technology investment
Own the product lifecycle from discovery and definition through delivery, adoption and continuous improvement
Identify opportunities to improve the quality, accessibility and usability of financial data and turn them into clear product outcomes
Partner with Data Engineering and Architecture to shape scalable, reusable data capabilities across products and teams
Champion data quality, governance, privacy, security, lineage and appropriate access controls
Build strong relationships across the business, translate complex data challenges into clear opportunities and align stakeholders around priorities
Set success measures and track adoption, customer outcomes and commercial or operational value
Work across Product, Data, Engineering, Architecture, Analytics, Risk, Compliance and Commercial teams

Requirements

What you’ll need

Extensive product management experience, including significant ownership of data products or data platforms at a Senior level
A track record taking data products from strategy and discovery through delivery, adoption and measurable outcomes
Strong understanding of modern data ecosystems, including platforms, architecture, pipelines, modelling, quality, governance, privacy and data consumption
Confidence partnering with Data Engineering, Analytics, Architecture and Software Engineering teams, and explaining technical trade-offs to varied audiences
Strong discovery, prioritisation and roadmap skills, backed by commercial and analytical judgement
The ability to influence senior stakeholders and build alignment across a complex organisation
Experience in financial advice, wealth management, banking, superannuation, insurance, fintech or wealthtech would be highly desirable

Benefits

Comp & perks

8 additional paid days per year to extend your weekends
Generous cash bonus for every successful referral
Starting school leave — 8.5 days of leave to assist your children with the transition to school
Up to 26 weeks’ paid parental leave for primary carers (up to 4 weeks for secondary carers), and the ability to work part-time when returning to work
3 days’ paid leave per year to participate in charity initiatives
Discounted health insurance premiums
Access to learning and development programs through LinkedIn Learning
Hybrid working