Vice President - Strategy Lead for Data Development Lifecycle (DDLC)

Vice President - Strategy Lead for Data Development Lifecycle (DDLC)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
J.P. Morgan

At a Glance

  • Tasks: Lead data development initiatives and design innovative architectures for AI products.
  • Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with excellent career advancement opportunities.
  • Why this job: Make a significant impact on data strategy and collaborate with top industry professionals.
  • Qualifications: 7+ years in financial services or data, strong communication, and analytical skills.

The predicted salary is between 60000 - 80000 £ 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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

J.P. Morgan

Contact Details:

J.P. Morgan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Vice President - Strategy Lead for Data Development Lifecycle (DDLC)

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 J.P. Morgan!

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 Vice President - Strategy Lead for Data Development Lifecycle (DDLC) at J.P. Morgan.

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 J.P. Morgan.

Apply Directly through Our Website

When you find a suitable opening like Vice President - Strategy Lead for Data Development Lifecycle (DDLC) at J.P. Morgan, 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 Vice President - Strategy Lead for Data Development Lifecycle (DDLC)

Data Development Lifecycle (DDLC)
Data Science
Analytical Skills
Problem-Solving Skills
Communication Skills
Presentation Skills
Stakeholder 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 J.P. Morgan, 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 J.P. Morgan. 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 J.P. Morgan

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 J.P. Morgan!

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.