Business Development Manager

FLAT FEE RECRUITER
Birmingham
2 months ago
Applications closed

Related Jobs

View all jobs

Business Development Manager (Staffing Solutions)

Business Development Manager (Staffing Solutions)

Sr Business Development Manager, Advertising Measurement and Data Science (MADS), Amazon Advertising

Data Analyst - Graduate

Manager, Software Engineering & Machine Learning, Operations Risk Compliance (ORC) Science

Lead Data Scientist[975963]

Looking for a rewarding career in business development? Join an innovative IT company and take ownership of driving new opportunities, managing client relationships, and boosting sales in the data services sector. If you're a results-driven professional with a knack for building partnerships, this role is for you!

Business Development Manager
Home based with Birmingham Office

  • Full time, 37.5 hours per week (Monday – Friday)
  • £50,000 - £60,000 per annum + Bonus
  • Permanent position

Please Note: Applicants must be authorised to work in the UK

Our client is a cutting-edge IT solutions provider, specialising in data-driven services working across both private and public sectors. Their focus is on delivering business intelligence, data transformation, data migration, and cloud-based solutions to organisations seeking to harness the power of their data. By combining technical expertise with customer-centric solutions, we ensure businesses unlock their full potential through strategic data insights.

The Role

As aBusiness Development Manager, you’ll be at the forefront of their growth strategy - generating leads, converting opportunities, and strengthening client relationships. You’ll be responsible for identifying new business opportunities, supporting marketing initiatives, and ensuring clients maximise the value of our data services.

Key Responsibilities:

  • Lead Generation & Sales Growth: Identify and convert leads through market research, networking, and partnerships while expanding service offerings within existing accounts to enhance client value and retention. Collaborate with internal teams to drive new business and revenue opportunities.
  • Client Relationship Management: Serve as the primary contact for clients, understanding their business needs and providing tailored data-driven solutions. Maintain strong relationships through regular check-ins and business reviews to ensure satisfaction and long-term success.
  • Technical & Strategic Support: Provide expert guidance on data analytics, integration, and reporting solutions. Monitor client performance metrics, offer actionable insights, and stay informed on industry trends, including AI and machine learning.

Why join them?

They value their employees and provide a supportive, rewarding work environment.

  • Competitive salary with performance-based bonus.
  • Hybrid work model - work from home with office collaboration.
  • Ongoing professional development opportunities.
  • Life assurance & private medical insurance (post-probation).
  • Exciting career progression in a growing IT company.

The Ideal Candidate

Our client is looking for a proactive and strategic business developer who thrives in a fast-paced, client-focused environment. About you:

  • Experience in either or both public or private sectors is acceptable.
  • 3+ years in business development within IT, data services, or analytics.
  • Strong understanding of data analytics, integration, and cloud-based solutions.
  • Ability to build relationships and drive client growth.
  • Excellent communication skills - able to explain technical solutions to non-technical clients.
  • Organised and results-driven, with strong problem-solving skills.
  • Bonus: Knowledge of AI, public sector experience, or Microsoft Azure certifications.

If you’re ready to make an impact in a company that values innovation and client success, apply today!

How to apply for the role:

If you have the skills and experience required for this position, click “apply” today andcheck your inbox for an email providing more informationon how to tailor your application and provide a cover letter or any supporting documents.

You must be authorised to work in the UK. No agencies please.

#J-18808-Ljbffr

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

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.