Senior Manager, Data and Insights

Audinate

Senior Manager leading the Data and Insights function at Audinate, transforming data for business growth. Collaborating with cross-functional teams to enhance decision-making and build data foundations.

Posted 7/6/2026full-timeSydney • 🇦🇺 AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data and insights functions, establishing data governance, and building robust analytics capabilities. Proficient in leveraging data to inform strategic decisions and enhance business growth through effective collaboration with cross-functional teams.

Highest-signal resume keywords

Leadership In BI And AnalyticsData Warehouse ManagementPython ProgrammingSQL ProficiencyData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisData ModellingData VisualizationAnalytics EngineeringReporting Stack ManagementNoSQL DatabasesData Quality AssuranceData SourcingDashboard DevelopmentStatistical Analysis

Soft Skills

Credible CommunicationCollaborative PartnershipTechnical DirectionProactive EngagementProduct-Team Mindset

Tools & Technologies

SnowflakeBigQueryDatabricksDbtCRMsAccounting Systems

Industry Keywords

Data InsightsBusiness IntelligenceAnalytics FunctionTech BusinessExecutive Level Communication

Tech Stack

Tools & technologies

BigQueryMongoDBNoSQLPythonSQL

About the role

Key responsibilities & impact

Lead Audinate's Data and Insights function in line with commercial priorities
Partner with leaders across Sales, Marketing, Finance, Product, and Strategy to surface evidence that helps make decisions that drive growth
Establish a recurring cadence of reporting that the ELT and Board use for planning
Make foundational decisions on data warehouse, modelling layer, and visualisation tooling
Lead a small team with a product-team operating mode
Establish governance and quality standards across datasets used by the business
Grow strong collaborative partnerships with functions that own datasets
Lift the analytical capability of the business
Carry analysis through to the decisions it informs

Requirements

What you’ll need

Experience leading a BI, analytics, or data science function and team in a growing tech business
Experience setting direction in an analytics function: engaging with commercial leaders to understand what matters, and proactively bringing credible, data-grounded ideas in response.
Practical experience building a data foundation and owning the reporting stack it supports - making defensible decisions on warehouse (e.g. Snowflake, BigQuery, Databricks), modelling layer (e.g. dbt), and visualisation tooling, and choosing for the durable reports, dashboards, and analytics cadences the business depends on.
Comfortable reviewing your team's work and giving technical direction across key technologies such as Python, SQL, and NoSQL (e.g. MongoDB).
Evidence of creating a well-governed data platform that is in regular use by varied business functions in a self-service mode, demonstrating data quality, availability, and fit for purpose.
Experience sourcing data from business platforms such as CRMs and accounting systems
Working knowledge of modern analytics engineering practice - version control, peer review, testing, and documentation as part of the analytics workflow.
Credible communicator at the executive level on the commercial picture, and with engineers on the technical underpinnings.
A product-team operating mindset - your work has internal customers, your outputs are durable, and you measure success by the decisions they enable.

Benefits

Comp & perks

Flexible working (3 days per week in office)
Home office support
Volunteering leave