Senior AI Product Manager

Grethena

Manchester

1 month ago

Applications closed

Related Jobs

View all jobs

Senior Onboarding Analyst

Senior Product Manager

Senior Product Manager, Fincrime Efficiency

Senior Software Developer

Senior Data Management Professional - Data Engineer - Physical Assets

Senior Data Scientist

Job Title: Senior AI Product Manager

Location:

Any where in World, preferable to be in UK or Dubai(Sponsorship provided for UK or Dubai)

About the Role:

Our client, a leading strategy and innovation consulting firm, is seeking a Senior AI Senior AI Product Manager to spearhead the growth and development of their AI practice. This role is ideal for a dynamic professional with elite consultancy experience who can build and scale the practice by acquiring new clients, leveraging their existing network, and driving measurable value.

This position is focused on creating and expanding a new client base, utilising a robust network of contacts to establish the practice's reputation, deliver innovative AI-driven solutions, and enhance its market presence.

Key Responsibilities:

Building the Practice: Establish and grow the AI Transformation practice by acquiring new clients, leveraging an existing network, and developing innovative capabilities that differentiate the practice.
AI Strategy Development: Design and execute advanced AI strategies tailored to solve complex client challenges and unlock growth opportunities.
Business Development: Identify, pitch, and secure high-value new logos, driving the practice's growth and market presence in the AI space.
Client Success Delivery: Lead multi-disciplinary teams to deliver impactful AI initiatives, ensuring alignment with client objectives and achieving measurable results.
Executive Collaboration: Partner with C-suite executives to align AI strategies with organisational goals, ensuring buy-in and advocacy for AI initiatives.
Thought Leadership: Position the practice as a leader in the AI domain through industry engagement, publications, and advocacy for responsible AI practices.
Capability Development: Recruit, mentor, and build a high-performing team within the AI practice, fostering innovation and operational excellence.

Required Experience and Skills:

Elite Consultancy Experience: Background with top-tier consulting firms with a focus on delivering transformative AI strategies.
Established Network: A strong black book of contacts within relevant industries, with the ability to leverage relationships to generate new business and build the practice's reach.
Practice Building: Proven ability to establish and scale a practice or team, including acquiring new clients and developing innovative service offerings.
Business Development Expertise: Demonstrable success in securing high-value clients and creating lasting relationships in the AI or digital transformation space.
Strategic Leadership: Expertise in defining and executing AI strategies that deliver significant business outcomes.
C-suite Engagement: Experience working with senior executives to drive alignment and communicate the value of AI initiatives.
AI and Machine Learning Expertise: Strong understanding of AI models, frameworks, and analytics, with the ability to bridge technical and business perspectives.
Education: Advanced degree in AI, Data Science, Computer Science, Business, or a related field.

Why Join?

This is a rare opportunity to lead and shape an AI practice from the ground up, leveraging your expertise and network to create meaningful impact. If you thrive on building relationships, delivering results, and driving innovation, we encourage you to explore this role further.

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

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

Mar 12, 2025

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Mar 9, 2025

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Mar 8, 2025

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.