Senior Manager, Data Platform & Insights
Our core values are the foundation of everything we do: Excellence, Courage, Integrity, Innovation, and Teamwork.
You will lead Audinate's Data and Insights function and transform what we know about our operations, markets, products, and customers into the decisions that grow the business. You'll build a durable data platform foundation that compounds success over time.
Data and Insights is a new function and you'll make the foundational decisions on the data platform, and engage closely with leaders across Sales, Marketing, Finance, Product, and Strategy - synthesising what matters across them and bringing credible ideas for how data can be applied to the questions that drive growth.
In these early days the function is small, so you'll be hands-on building the first foundations, growing the team around you as the platform takes shape.
You will
- Set and own the direction of Audinate's Data and Insights function in line with our commercial priorities, bringing forward credible ideas for how data can be applied to advance these goals.
- Make the foundational decisions on data warehouse, modelling layer, and visualisation tooling, choosing for outcomes rather than stack fashion.
- Partner with leaders across Sales, Marketing, Finance, Product, and Strategy to surface the evidence that will help make decisions that drive growth.
- Establish a recurring cadence of reporting that the ELT and Board use for planning.
- Lead a small team with a product-team operating mode: engineering discipline, durable outputs, internal customers, and a strong sense of ownership over what you ship.
- Establish governance and quality standards across datasets used by the business.
- Grow strong collaborative partnerships with functions that own datasets such as Business Systems, and Finance.
- Lift the analytical capability of the business - building the modelled data surfaces that let business units independently meet their daily operational needs, and augment with centralized data science capability for more detailed exploratory work to unlock critical business insights.
- Carry analysis through to the decisions it informs - making clear to the relevant operational leader the commercial implications of the analysis and, where sufficient ongoing commercial need exists, working with the relevant operational leader to deliver appropriate dashboards or BI surfaces to help operationalize those insights.
What we're looking for
- 8+ years' experience in business intelligence, analytics, or data science in a B2B technology business, with at least 3 years leading a team.
- 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.
- A strong hands-on foundation in Python, SQL, and NoSQL (e.g. MongoDB): enough to build the early foundations yourself while the team is small, and to review your team's work and set technical direction credibly as it grows.
- Demonstrated experience delivering production data pipelines and analysis that is used regularly by business leaders to understand the health of the business and drive decisions.
- Working knowledge of modern analytics engineering practice - version control, peer review, testing, and documentation as part of the analytics workflow.
- Experience setting direction in a data function: engaging with commercial leaders to understand what matters, and proactively bringing credible, data-grounded ideas in response.
- 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
- 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.
Nice to have for this role
- Familiarity with the pro-AV industry.
- Experience inside a hardware-software business with an OEM channel.
- Experience integrating AI-assisted analytics tooling into a data function's day-to-day operating mode.