Technical Programme Manager - Data Science Team
About us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents.
European legal working status is required.
We´re looking for
A Programme Manager to join the Data Science Office at our Spanish headquarter, in Marbella, Spain.
The Programme Manager is a strategic and operational role within the Data Science Office, responsible for ensuring alignment, execution and visibility across a portfolio of research, product and commercial initiatives. Reporting to the Chief Data Science Officer (CDSO), the role acts as a central coordination point, enabling effective prioritization, structured delivery and clear communication across stakeholders.
The position operates at the intersection of data science and business functions, supporting both long-term research efforts and short-cycle commercial deliverables.
The ability to communicate effectively in English, both in writing and verbally is a must. Knowledge of Spanish is not a business requirement.
European Union’s legal working status is required.
Key Responsabilities
Programme Delivery & Execution
Lead end-to-end delivery of multiple Data Science initiatives, from planning through execution
Manage priorities, dependencies, risks, and timelines across concurrent projects
Translate strategic objectives into clear, actionable plans and quarterly deliverables
Planning, Governance & Reporting
Own programme governance and reporting, providing regular updates to leadership on progress, risks, and performance
Ensure alignment between Data Science initiatives and broader business priorities
Maintain clear visibility of all ongoing, planned, and deprioritized work
Cross-functional Collaboration
Act as the primary interface between Data Science and teams such as Product, Engineering, and Commercial
Manage inbound requests and prioritize work in line with capacity and strategic goals
Facilitate effective communication across technical and non-technical stakeholders
Operational Excellence & Impact
Design and continuously improve scalable, lightweight processes tailored to Data Science workflows
Standardize tools and best practices (e.g. Jira, Confluence)
Support clear articulation of Data Science outputs and their business value
Desired Skills
Strong understanding of programme and project management methodologies and frameworks
Ability to translate company strategic goals into structured execution plans
Experience with resource planning and capacity management
Understand interdependencies between technology, operations and business needs
Proficiency in project management tools (e.g. JIRA, Confluence)
Strong analytical, organizational and problem solving capabilities
Excellent written and verbal communication skills, including execution level reporting
Ability to operate effectively in environments with ambiguity and evolving priorities
Experience
Demonstrated experience managing cross-functional programmes in technology, data or related environments
Solid understanding of software development lifecycles and Agile methodologies
Proven ability to collaborate across diverse, multi-disciplinary teams
Experience establishing processes, governance frameworks and operational standards
Ability to identify key success factors and risks across complex initiatives
Strong stakeholder management and influencing skills across different organizational levels
Familiarity with data science, AI, or quantitative domains, enough to push back credibly on scope and timelines.
What's in it for You?
Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance.
Competitive Salary: In RavenPack, we believe that your time and experience needs to be fairly rewarded.
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
Hybrid work arrangement: 3 days in the office, 2 days remote (post-onboarding).
Shuttle bus (Málaga): From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Department
- Data Science
- Locations
- Marbella
- Remote status
- Hybrid
About RavenPack
RavenPack is a global leader in financial data and intelligence, helping organizations turn vast amounts of unstructured information into decision-ready insight.
Since 2003, RavenPack has focused on solving one of finance’s most persistent challenges: data is abundant, but usable data is scarce. By removing data friction across the entire lifecycle - from sourcing and preparation to deployment and action - RavenPack enables faster, clearer, and more confident decisions in high-stakes environments.
Trusted by leading global financial institutions and used by approximately 70% of the world’s top-performing hedge funds, RavenPack combines deep financial domain expertise with proven data engineering and AI capabilities at scale. With more than 200 employees across the U.S. and Europe, the company has established itself as a gold standard for trusted, auditable, and production-ready financial intelligence.
RavenPack offers two complementary products: RavenPack Edge, designed for quantitative and systematic investment workflows, and Bigdata.com, an AI-native platform for financial research and agentic systems built on trusted data.
Bigdata.com enables professionals to deploy ready-made AI agents for instant insights or build their own via APIs—speeding up research, automating workflows, and driving better investment decisions.