VP, Data Development Lifecycle Strategy

VP, Data Development Lifecycle Strategy

Full-Time 100000 - 150000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Lead the strategy for data development and AI initiatives across the firm.
  • Company: Join a forward-thinking firm prioritising data, analytics, and AI.
  • Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on diversity and inclusion.
  • Why this job: Shape the future of data management and make a significant impact.
  • Qualifications: 7+ years in financial services or data/technology with strong analytical skills.

The predicted salary is between 100000 - 150000 £ per year.

Join a firmwide team accelerating our data, analytics, and AI journey through highly governed, high-impact initiatives. In this role, you will help define how data is made available to power new products and AI models at scale. You will partner across lines of business and corporate functions to design architecture, toolchains, user‑centric processes, and control frameworks that improve how data is developed and deployed safely, efficiently, and at scale.

As a Vice President for Strategy Lead for Data Development Lifecycle (DDLC) in the Firmwide Chief Data Office, you will lead the development and execution of new architecture, tool chains, user‑centric design, and control frameworks that transform the firm’s data development process from concept to delivery. You will partner with firmwide teams, lines of business, and corporate functions, oversee crucial aspects of the lifecycle, and engage leaders across the business. A background in data science or a related technical field and excellent written and oral communication skills are valued given the visibility of this role.

Job responsibilities

  • Define the process for data development from the perspective of data practitioners across all lifecycle stages with clear roles and responsibilities.
  • Partner with technology leaders to develop a firmwide reference architecture supporting data development and testing in controlled environments.
  • Partner with risk management and controls to develop a control framework for managing data risks.
  • Manage end‑to‑end delivery of changes to key platforms and toolchains supporting DDLC from proof of concept through deployment.
  • Collaborate and align with architects, data engineers, and technologists to achieve business outcomes.
  • Identify opportunities for continuous development and improvement of the DDLC, ensuring changes are done safely and at scale.
  • Demonstrate self‑motivation and tenacity, working with a high degree of independence.
  • Develop executive‑level presentation decks, documents, and white papers to communicate complex concepts and recommendations.
  • Communicate effectively across diverse stakeholders in decision‑making and strategy implementation.
  • Work in a highly collaborative, matrixed environment to build consensus.
  • Assist in identifying, escalating, and mitigating project risks that could impair execution of the strategy.

Required qualifications, capabilities, and skills

  • 7+ years experience in financial services, data/technology, or related consulting.
  • Deep data science experience with consulting for end‑to‑end delivery and exceptional analytical, problem‑solving, communication, and presentation skills.
  • Ability to develop executive‑level decks, documents, and white papers to communicate complex concepts and recommendations.
  • Ability to work in a highly collaborative, matrixed environment to build consensus and excellent stakeholder management and coordination skills.
  • Structured thinker and effective communicator with excellent written communication skills and ability to crisply articulate complex technical concepts to senior audiences.
  • Deep domain expertise (knowledge of clients, products, services) coupled with deep expertise in the data (applications systems, BI and AI applications) used to manage and execute strategy across multiple business units.
  • Strong knowledge of data mesh architecture and data product concepts.

Preferred qualifications, capabilities, and skills

  • Experience in roadmap creation and execution, aligning and leading business operations to strategic organizational goals.
  • Strong understanding of AI/ML technologies and their application in data management/governance.
  • Understanding of control and risk management concepts.
  • Strong product management and project management skills.

Equal Employment Opportunity Statement

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

VP, Data Development Lifecycle Strategy employer: 慨正橡扯

As a leading firm in the financial services sector, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to contribute to our data, analytics, and AI initiatives. With ample opportunities for professional growth and a culture that prioritises teamwork, you will play a pivotal role in shaping the future of data development while enjoying the benefits of a supportive and dynamic workplace.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land VP, Data Development Lifecycle Strategy

Tip Number 1

Network like a pro! Reach out to your connections in the data and tech space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your expertise! Create a portfolio showcasing your past projects, especially those related to data development and AI. This will not only highlight your skills but also give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms. Remember, you’ll need to engage with diverse stakeholders, so being able to articulate your thoughts clearly is key!

Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that VP role!

We think you need these skills to ace VP, Data Development Lifecycle Strategy

Data Development Lifecycle (DDLC)
Data Science
Analytical Skills
Problem-Solving Skills
Communication Skills
Presentation Skills
Stakeholder Management

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data development and strategy. We want to see how your skills align with the role of VP, Data Development Lifecycle Strategy, so don’t hold back on showcasing your relevant achievements!

Showcase Your Communication Skills:Since this role requires excellent written communication, ensure your application is clear and concise. Use straightforward language to articulate your complex ideas, just like you would in an executive-level presentation. We love a good storyteller!

Highlight Collaboration Experience:This position involves working across various teams, so share examples of how you've successfully collaborated in the past. We’re looking for evidence of your ability to build consensus and manage stakeholders effectively.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at 慨正橡扯

Know Your Data Inside Out

Make sure you have a solid understanding of data development processes and the specific tools and architectures mentioned in the job description. Brush up on data mesh architecture and AI/ML technologies, as these will likely come up during your interview.

Showcase Your Communication Skills

Since this role requires excellent communication skills, prepare to articulate complex concepts clearly. Practice explaining your past projects or experiences in a way that’s easy to understand, especially for non-technical stakeholders.

Demonstrate Collaborative Spirit

This position involves working across various teams, so be ready to discuss how you've successfully collaborated in the past. Share examples of how you’ve built consensus and managed stakeholder relationships in a matrixed environment.

Prepare Executive-Level Presentations

Given the need to develop executive-level decks and documents, practice creating concise presentations that highlight key points. Focus on how you can communicate complex strategies effectively to senior audiences, as this will be crucial in your role.