National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Director, Business Intelligence - Offensive Data & Research

Libro Credit Union
London
8 months ago
Applications closed

Related Jobs

View all jobs

Director Of Data Engineer

Analytics Director - Data Science

Analytics Director - Data Science

Analytics Director - Data Science

Sr Data Engineer (hybrid working)

Associate Director of AI

Find out if this opportunity is a good fit by reading all of the information that follows below.Career Opportunity

Libro is growing – and Libro is hiring.

Our expansion plans include a series of new hires across the organization. Take a look.

www.libro.ca/careers

Who We Are

Imagine working for an organization where every employee and customer is an Owner. No matter whether a customer Owner or employee Owner, everything we do at Libro is about helping people prosper. We recruit and develop high-quality candidates like you who are ready to offer the best possible advice, coaching and service, when and how our Owners need it.

Libro invests heavily in the development and career ambitions of our staff. Our hiring philosophy is focused on finding candidates who carry a positive attitude, a desire to learn, and a passion for helping our staff and Owners (customers) grow financial confidence. We commit to teaching and supporting you as you learn the skills you need.

What Opportunity Awaits?

As we continue to grow, Libro is on a mission to find a passionately accountable

full-time Director, Business Intelligence – Offensive Data and Research

supporting our

London Administration

office. This role is responsible for leading Libro’s offensive data strategy, using data as a strategic asset for business growth. The role partners closely with defensive data and foundational data strategy leaders to guide Libro’s progressive data strategy. The role embraces research, advanced analytics and data insights to fuel innovation and elevate Libro’s Owner experience.

The role proactively builds strong relationships across various business units (Product, Platform, Experience, Marketing, Frontline, etc) and collaborates to seek new data sources, technologies, and ways to monetize data for business/revenue growth, and operational excellence. To achieve those objectives, the role leads and coaches a dynamic team of research, data insight and data science professionals to transform problem statements into actionable insight through effective engagement and communication. The Director, Business Intelligence – Offensive Data and Research is dedicated to building capabilities and data practices across teams that will support the increase of organizational data and insight access, speed of delivery and quality of research and analytical outputs.

The successful candidate will:

Lead in the Formation and Development of an Analytics Community of Practice that will facilitate advanced analytics and innovation in three key areas: using data for business growth (Offensive Data), ensuring data security and compliance (Defensive Data) and building a strong data infrastructure (Foundational Data).

Lead and develop Libro’s offensive data strategy with execution through various business units to focus on driving revenue, portfolio growth, and operational efficiency.

Oversee Libro’s research framework; including corporate studies, and expansion of customer experience (CX) and user experience (UX) research.

Oversee strategic third-party research and data partnerships, ensuring responsiveness to Libro’s research and analytics needs.

Lead a team of research, data insight, and data science professionals, promoting a collaborative culture centered on problem-formulation, problem-solving, and effective communication of data insights that get used.

Establish team data practices, creating risk mitigation strategies to adapt to evolving compliance, privacy and security requirements in line with the defensive data strategy.

Manage the budget for market research and analytics, ensuring optimal investment in tools to meet expanding business needs.

Champion a data-informed culture at Libro, fostering growth in data literacy and promoting an evidenced-based mindset.

Actively seek to investigate diverse data sources, including member data, market trends, and emerging technologies. Invest in corporate approved analytic tools to analyze and derive actionable insights from this data based on business needs.

Oversee the development, automation, and maintenance of growth-oriented business intelligence dashboards, utilizing as tools in the proactive generation of business insights, as well as empowering self-serve to end users.

Foster and champion the use of measurement approaches and frameworks to owner-facing and/or front-line initiatives (such as analysis of campaign performance) to improve organizational maturity in its use of data and analytics.

Embrace advanced analytics, machine learning, and artificial intelligence to uncover patterns and trends in data. Using these insights to develop personalized Owner experiences, create targeted marketing campaigns, and optimize operations.

Collaborate with product teams to develop new financial products and services informed by research and data insights.

Identify and lead the collaborative development of optimal analytical projects for supporting the business, which may include customized segmentation, Profitability and Lifetime Value-insights, and different predictive and machine learning models.

Could this be you? Are you ready to join an exciting team at Libro?

Do you have a passion for growing prosperity in Southwestern Ontario by transforming banking through developing others and inspiring financial happiness?

Are you an Epic Human; joyful in your work, passionately accountable, a bold explorer and mutually inclusive?

Do you have a Bachelor’s degree or equivalent combination of training and experience in fields in consumer insights, business analytics, computer science, behavioural sciences, market research or a related discipline?

Do you have 7-10 years of previous experience leading a data insight, research or business analytics function or team?

Do you have experience leading and/or building a team of data insight and research professionals with complimentary skillsets across the data insight spectrum?

Do you have experience in business intelligence, data visualization and data science toolsets such as SQL, PowerBI, Python, R etc.?

Do you have experience working in consumer research including brand health, voice of the customer, and user research is an asset?

Experience in statistical methods, hypothesis testing and data science languages (R, Python) an asset.

A solid understanding of machine learning models and algorithms is an asset.

Experience working in an agile environment leading hybrid / decentralized team.

Some of the ways we show Libro is an outstanding employer:

Competitive salaries and employee pension plans

Comprehensive benefit package including health, dental, and vision

Generous vacation time

Employee wellness programs

Staff accounts and staff rates on products and services

Staff appreciation programs and awards

Career development opportunities including tuition assistance

Many great perks and rewards; fitness club discounts, technology offers, travel and entertainment deals, just for being part of our great team!

If you're passionate about helping your community, interested in being part of a remarkable team, and want to do your part to strengthen financial well-being for a better tomorrow - we want to hear from you!

With a purpose beyond profit, Libro Credit Union is proud to be a Certified B Corporation, joining leaders of a global movement of people using business as a force for good.

Libro is committed to fostering a safe, healthy, and inclusive work environment that inspires respect. As an inclusive employer we are committed to providing a fully accessible recruitment process. Email us at any time during the recruitment process to let us know what supports you may need to be successful.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.