Software Product Director

Abu Dhabi
10 months ago
Applications closed

Related Jobs

View all jobs

Senior RF Data Scientist / Research Engineer

Data Scientist

Machine Learning Engineer (Forward Deployed)

Senior Machine Learning Engineer

Genomic Data Scientist in Rare Disease (we have office locations in Cambridge, Leeds & London)

Machine Learning Engineer

About us

Avencia Consulting are partnered with a global Reinsurer who have a newly created position for a Product Director to join their Abu Dhabi office. This role will be office based with frequent travel around the Middle East.

The role

You will be responsible for leading the vision, strategy, and execution of the product development roadmap for one of our key data analytics software suites. This role requires a balance of strategic thinking, leadership, and hands-on execution to drive product innovation, market success, and customer satisfaction.

You will work to drive projects and initiatives that support of business processes now and in the future. You must ensure projects deliver on-time and to budget. As a liaison between business and technical functions you will be responsible for communicating across the organisation and to external parties to make sure we deliver software services to the highest standards within a regulated environment.

Key accountabilities

Product Strategy & Vision: Develop and articulate a compelling product vision and strategy aligned with business goals and market opportunities. This will include potential close working on bids and pitching to external parties for investment and sales opportunities globally
Roadmap Development: Define, maintain, and communicate the product roadmap, ensuring alignment with customer needs, technological advancements, and competitive landscape.
Cross-Functional Leadership: Partner with teams from across the business on requirements capture, design, service management, support and end-users to drive product initiatives from conception to launch.
Customer & Market Insights: Conduct market research, gather internal and customer user feedback, and analyse data to identify trends, opportunities, and areas for product improvement.
Agile Product Development: Lead the product team in an agile development environment, prioritizing features and ensuring timely and high-quality product releases.
Performance Measurement: Define and track key performance indicators (KPIs) to measure product success and iterate based on data-driven insights.
Team Leadership & Development: Take ownership of the existing team (~10 people across London, Dublin, Bermuda), build and mentor a high-performing product team, fostering a culture of innovation, collaboration, and customer-centric thinking.
Drive Change: Plan and develop change from ideation through to implementation and commissioning. Build and size the existing team to execute this journey, putting in place the necessary structures and processes.
Work closely with technology teams (internal and external), tech architects and business owners to refine requirements and translate business needs into data solutions and make sure projects are coordinated correctly
Ensure there is always an approach of continuous improvement and implementation of best practice
Effectively document and surface relevant information
Remove blockers to ensure project success in a pro-active manner
Manage risks, issues, deadlines, dependencies and be able to present up to date status reports at any time
Instil a sense of ownership, accountability and technical excellence in the team, driving efficient processes at pace and constantly push best practice
Continual focus on long term effectiveness, simplicity of solutions and appropriate controls
Estimate projects and tasks, working closely with technical and business teams as needed
Ensure the quality of any third-party deliveries against requirements, liaising with outsourced partners as necessary
Continually track budget & effort management and reporting, tracking team costs, cost of work-packages, efficiency, work in progress etc
Support a team culture of innovation, efficiency, accountability and initiative, with a focus on process simplification and outcome deliverySkills & experience

Bachelor's degree (or higher) in a relevant technology field (i.e. Engineering, Physics, Data Science)
Minimum 10 years' experience in a technical product manager/product director role in a large enterprise/multinational organisation
Experience managing and reporting on project and programme budgets
Experience working in a regulated environment
Strong customer service mentality with the ability to develop and maintain relationships with stakeholders at all levels
Strong motivational and people skills, helping team members to excel in a culture of collaboration and openness
Excellent organisation and time-management skills, able to work in a dynamic and fast-paced environment
Always maintain a high bar of quality and have pride in doing work well to high standards
Drive and support innovation in a pragmatic and effective way to meet the needs of the business
Industry Knowledge: Strong understanding of software development processes, SaaS business models, and emerging data technology analytics trends. Strong understanding of data analytics systems
Strategic Thinking: Proven ability to develop and execute a product strategy that drives business growth.
Technical Acumen: Comfortable working with engineering teams and understanding software architecture, APIs, and modern development practices.
Leadership & Communication: Excellent leadership, collaboration, and communication skills to influence and inspire teams.
Customer-Centric Mindset: Ability to balance business objectives with customer needs, ensuring an exceptional user experience.
Data-Driven Decision-Making: Proficiency in analytics and experience leveraging data to inform product decisions.
Agile & Lean Methodologies: Fluent in Agile, Scrum, and Lean methodologies to drive efficient product development cycles.
Strong interest in AI, leveraging practical applications of AI wrt data analysis, automation of manual processes and data handling

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.