At a Glance
- Tasks: Lead the transformation of complex data into trusted regulatory reporting for global leaders.
- Company: Join Morgan, a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborate with experts across Finance and Technology in a high-performing team.
- Why this job: Make a real impact by streamlining data processes and enhancing regulatory reporting.
- Qualifications: Experience in data analysis, regulatory reporting, and project management required.
The predicted salary is between 70000 - 90000 £ per year.
Shape how a global firm turns complex data into trusted regulatory reporting that leaders rely on every day. Join a high‑performing team that drives strategic data solutions, smarter operating models, and measurable outcomes across Finance and Regulatory Reporting. You will collaborate with experts in Finance, Technology, and product to deliver systems, controls, and insights at scale. Your work will streamline reporting, reduce risk, and modernize how we use data across platforms. If you thrive at the intersection of product, data, and program execution, this role is for you.
As a Data Sourcing and Reporting Product Owner in the Firmwide Finance Business Architecture (FFBA) team you will work closely with Line of Business stakeholders, data Subject Matter Experts (SMEs) and technology teams across Finance and the various Program Management teams. You will be part of this high-performing team of project & data management professionals focused on delivering strategic Programs, building reporting & automation solutions and as such requires a technical project mindset to support the end to end delivery.
You will focus on the project delivery of strategic data consumption solutions including building regulatory aggregation logic to meet stakeholder needs, using first-class methodologies in program governance, product ownership, and project delivery while implementing an enhanced operating model, working collaboratively across teams in Regulatory Reporting teams, Technology and Finance.
- Deliver a diverse range of Finance Data Insight/Core solutions and regulatory related projects, implementing solutions and operating models aimed at enhancing end to end processing and streamline technology usage within regulatory reporting.
- Analyze data/interrogation and solution build across Finance data warehouses and reporting tools to support International Reg program execution.
- Organize & control dependencies/deliverables, identifying issues, risks and solutions, working with appropriate members of the team or stakeholders to develop an agreed mitigation strategy.
- Ensure operational readiness through both rigorous testing and implementation management building out reusable patterns and best in class methodologies.
- Plan and support of operational readiness through both rigorous testing and implementation management and influence modernization efforts.
- Proven background in data analysis, regulatory reporting and technology to deliver complex multi-functional projects.
- Proven background in documenting Operating Model and instances of change and strong partnerships to drive complex multi-functional projects with regulatory reporting background.
- Advanced skills using analytical toolset with Agile mindset to slice and dice data using various toolsets (I.e. Alteryx) and query languages (I.e. SQL, Databricks, AI Tools) and experience in designing/building automated solutions.
- An understanding of regulatory Reporting tools and strong analytical skills with ability to synthesize large data sets and identify targeted, crisp messages with problem solving skills.
- Proven experience in managing stakeholder relationships and creative data storytelling with ability to make complex decisions, holding others accountable for quality deliverables.
- Experience working in partnership with business, technology and product teams to document business scenarios and acceptance testing criteria to ensure reporting accuracy as part of project tracking.
- Project management experience with Data Mesh or Cloud Strategy knowledge.
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. 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. Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner (Data Management) - Vice President in London
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We think you need these skills to ace Product Owner (Data Management) - Vice President in London
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!
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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!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
