Technical Programme Manager Data Science Team

RavenPack

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profile Job Location:

Marbella - Spain

profile Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

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 clientsincluding some of the worlds most successful hedge funds banks and asset managersto 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 years 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.

Were 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 Unions 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.

Whats 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.



About usAt 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 clientsincluding some of the worlds most successful he...
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About Company

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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 ... View more

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