Director of Data Intelligence
Job Description
The Company
Cubic³ provides advanced software-defined vehicle solutions to over 200 countries around the world. Our powerfully smart connectivity enables leading automotive, agriculture, and transportation OEMs to deliver innovative new services and fully compliant in-vehicle experiences that customers desire, regardless of local market requirements.
We believe in leadership that supports empowerment and responsibility, while recognising and developing leadership qualities across Our Team. Together we bring out the best in each other. So, whether you’re interested in joining us as an individual contributor, manager, senior leader – or someone who aspires to growing into a leadership role – we look for people who are results focused, empathetic, visionary, empowering, and who ‘champion’ our cultures and values.
The Role
We are looking for a Director of Data Intelligence to lead our data strategy and shape how Cubic³ uses AI. This is a senior leadership position in the Product & Technology organisation, reporting to the Chief Delivery Officer.
You will set the direction for how data is collected, governed, shared and turned into value across the business, and you will partner with the AI Engineering Team on our AI strategy as part of that. Your focus is data first: strong foundations, clear ownership and trusted information are what make good AI possible. You will work closely with Engineering, Product, Network, Security and the rest of the technology leadership team, as well as Finance and commercial leaders, to make sure the strategy is practical, funded and delivered.
You will work in close partnership with the Head of Data Operations, who runs the data platform, reporting and Finance data day to day. This role suits a senior, strategic leader who can combine technical credibility with commercial judgement, and who is as comfortable influencing executives as setting architecture direction.
Key Responsibilities
Data strategy
Define, own and regularly refresh a multi-year data strategy aligned to company strategy and commercial goals.
Set the architecture direction and standards for our data platform, so it scales with the business and supports new products and customers.
Build the investment case and roadmap for data, and track the value it delivers.
Identify opportunities to use our data assets to improve products, operations and customer outcomes.
AI strategy
Partner with the AI Engineering Team on the AI strategy for Cubic³, as part of the wider data strategy and in line with the technology roadmap.
Work with Product, Engineering and the business to identify and prioritise high-value AI use cases, and make sure the data foundations are in place to deliver them.
Set principles for the responsible use of AI, including risk, ethics, security and regulatory compliance, working with Legal, Security and Risk.
Guide build, buy and partner decisions on AI tools, platforms and vendors, and stay ahead of emerging technologies and regulation.
Working across Technology
Work as part of the technology leadership team, making sure data and AI plans fit with the wider product, engineering, network and security roadmaps.
Partner with Engineering and Product so that data is designed in from the start in new products and systems.
Align closely with Finance and commercial leaders on the data they need to run and grow the business.
Data governance, policy and compliance
Own the data governance framework, including policies, data ownership, classification, quality standards and retention.
Make sure our approach to security, privacy and compliance (including GDPR) is sound and meets customer and regulatory expectations.
Set the standards and policies that the Head of Data Operations and their team apply in day-to-day delivery.
Leadership and influence
Provide clear direction and objectives to the data function, working in close partnership with the Head of Data Engineering.
Own the data function’s budget, organisation design and performance, and report on the return delivered on data investment.
Represent data and AI at executive and board level, explaining complex topics clearly and influencing decisions.
Build data literacy and a culture of data-driven decision-making across the company.
Attract, develop and retain strong data talent, and set the capability plan for the function.
Customers, partners and vendors
Understand the data and analytics needs of our automotive and IoT customers and partners, and help shape the products and services built on our data.
Lead strategic relationships with data, cloud and AI vendors, and make sure they deliver value.
Requirements
Essential
Degree in Computer Science, Data Science, Engineering or a related field, or equivalent experience.
15+ years in data-related roles, with at least 8 years in senior leadership, including setting data strategy at a company or divisional level.
Proven track record of defining and delivering a data strategy that has had measurable business impact.
Practical understanding of how AI and machine learning are applied in business, and experience shaping or delivering AI use cases and strategy.
Strong technical grounding in modern data architecture, including data modelling, ETL/ELT, data warehousing and cloud platforms such as Snowflake, AWS or Azure, sufficient to set direction and challenge approaches.
Experience establishing data governance, security and privacy practices, including GDPR.
Experience working with multiple vendors, third parties and client teams.
Experience owning a function-level budget and leading managers and senior leaders.
Excellent communication skills, with demonstrated experience engaging and influencing senior executives and boards.
Strong analytical and commercial skills, with the ability to use data and metrics to back up recommendations and drive action.
Preferred
Telecommunications experience, especially in connectivity, IoT or the connected vehicle sector.
Experience of AI governance and emerging regulation, such as the EU AI Act.
Master’s degree (M.Sc.) or doctorate (Ph.D.) in a relevant field, such as Data Science, Computer Science, Engineering, Statistics or Machine Learning.
Experience building and productising data offerings for external customers.
Experience of working closely with Finance on revenue, billing or cost data.
New hires at Cubic³ are required to work onsite five days a week during their six-month probation period to get to know the company, their team, and our ways of working. After probation, we offer a flexible arrangement of up to eight work-from-home days per month, provided it aligns with business needs and performance standards. This arrangement is not a given for all roles.
Cubic³ is an equal opportunities employer and committed to fostering a diverse and inclusive workplace.
