At a Glance
- Tasks: Lead large-scale tech transformations and manage high-performing teams for diverse clients.
- Company: Dynamic consultancy focused on technology-led transformation in a fast-paced environment.
- Benefits: Competitive salary, bonus, hybrid work, and comprehensive benefits package.
- Other info: Opportunity for career growth in a supportive and collaborative culture.
- Why this job: Make a real impact by driving innovation and excellence in technology delivery.
- Qualifications: Extensive experience in tech transformation and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Delivery Director to lead the successful delivery of large-scale technology and business transformation programmes across a diverse client portfolio. This is a senior leadership position responsible for overseeing complex programme delivery, managing high-performing teams, and ensuring exceptional client outcomes in fast-paced, evolving environments.
The ideal candidate will have a strong background in technology-led transformation, with experience gained within a consultancy, technology services, or digital transformation organisation. Experience working with utilities clients (water, gas, electricity or energy) would be highly advantageous.
Key Responsibilities- Lead the delivery of multiple complex transformation programmes from mobilisation through to successful implementation.
- Build and maintain trusted relationships with executive stakeholders, acting as a strategic advisor throughout programme delivery.
- Ensure programmes are delivered on time, within budget, and to the highest quality standards.
- Drive delivery excellence across technology, digital and business change initiatives.
- Lead, mentor and develop multidisciplinary delivery teams including Programme Managers, Project Managers, Business Analysts, Solution Architects and technical specialists.
- Establish governance frameworks, programme controls, risk management and reporting across multiple workstreams.
- Work closely with commercial teams to support account growth, identify new opportunities and contribute to business development activities.
- Manage programme financials including forecasting, profitability, resource planning and commercial performance.
- Champion continuous improvement, delivery best practice and operational excellence across the organisation.
- Support the development of delivery methodologies, frameworks and standards to enable scalable growth.
- Significant experience leading enterprise-scale technology and digital transformation programmes.
- Proven background within a technology consultancy, digital consultancy, systems integrator or technology services organisation.
- Demonstrable experience operating in high-growth, fast-paced environments where priorities can change quickly.
- Strong programme leadership experience across cloud transformation, digital platforms, enterprise applications, business change or operational transformation.
- Experience managing large delivery teams and multiple concurrent client engagements.
- Strong commercial awareness with experience managing programme budgets, revenue and profitability.
- Exceptional stakeholder management skills, with experience engaging C-suite executives and senior client leadership.
- Experience establishing programme governance, delivery frameworks and risk management processes.
- Excellent leadership, communication and influencing skills.
- Experience delivering transformation programmes within the Utilities sector is highly desirable or adjacent industries.
- Knowledge of regulated industries and operational technology environments.
- Experience working with product-based technology organisations.
- Programme management certifications (MSP, PRINCE2, PMP) or Agile certifications.
- Experience delivering cloud, data, AI or digital transformation initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Director, Data Services Quality Management
✨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 Forsyth Barnes!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Director, Data Services Quality Management at Forsyth Barnes.
✨Leverage Professional Networks
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 Forsyth Barnes.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Director, Data Services Quality Management at Forsyth Barnes, 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 Senior Director, Data Services Quality Management
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 Forsyth Barnes, 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 Forsyth Barnes. 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 Forsyth Barnes
✨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 Forsyth Barnes!
✨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.
