At a Glance
- Tasks: Lead hands-on AI and automation projects, focusing on Salesforce integration.
- Company: Join a forward-thinking enterprise driving innovation in AI solutions.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration across teams.
- Why this job: Make a real impact by delivering cutting-edge AI initiatives that enhance business efficiency.
- Qualifications: Experience in AI delivery, stakeholder engagement, and translating business needs into tech solutions.
The predicted salary is between 60000 - 80000 £ per year.
An experienced, hands-on AI Delivery Specialist is required to execute and deliver priority AI & Automation initiatives within an Enterprise line of business. This role focuses on implementing functional AI solutions—such as co-pilots and agents—primarily within Salesforce, to drive business value and operational efficiency.
The role operates as an embedded delivery lead within established AI strategy frameworks, owning day-to-day execution across multiple workstreams. It ensures initiatives progress from design through build, deployment, and adoption.
The successful candidate will have hands-on experience delivering initiatives across commercial functions, with demonstrated expertise in stakeholder engagement and translating complex business requirements into actionable AI initiatives and end-to-end delivery.
Key Responsibilities
- Own hands-on execution and delivery of AI and automation projects (e.g., co-pilots, agents), progressing defined use cases through build, test, deployment, and adoption.
- Focus on delivery and integration across the Salesforce ecosystem, ensuring alignment with business objectives and measurable outcomes.
- Work closely with business, product, technology, and compliance teams to unblock delivery, resolve dependencies, and maintain momentum across initiatives.
- Gather, analyse, and translate business requirements into functional AI solutions for defined use cases, bridging the gap between business needs and technical execution.
- Oversee the design, development, and deployment of AI-driven tools, ensuring scalability, security, and user adoption.
- Support adoption of new AI solutions through effective communication, training, and performance monitoring, ensuring alignment with AI and automation policies and guidelines.
- Apply AI best practices and insights to initiatives, helping to build a culture of innovation.
Skills & Tools
- AI Delivery
- Generative AI
- AI Agents & Co-pilots
- Salesforce (Agentforce)
- Machine Learning
- Automation
- Stakeholder Management
- Business Analysis
- Change Management
- AI Governance
AI Delivery Lead: Co-Pilots & Salesforce Automation employer: PSD Group
Join a leading property investment business that values its employees and fosters a collaborative work culture. With a strong focus on professional development, you will have ample opportunities to grow your career while working on diverse projects across the UK. Enjoy competitive benefits and the chance to make a meaningful impact in a dynamic environment that prioritises innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Lead: Co-Pilots & Salesforce Automation
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PSD Group!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PSD Group.
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When you find a suitable opening like AI Delivery Lead: Co-Pilots & Salesforce Automation at PSD Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Delivery Lead: Co-Pilots & Salesforce Automation
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PSD Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PSD Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PSD Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PSD Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
