Technical Programme Manager - Data Science Team at RavenPack

Marbella, Andalusia, Spain -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

0.0

Posted On

30 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programme management, Project management, Data science, Stakeholder management, Agile methodologies, Resource planning, Capacity management, Jira, Confluence, Strategic planning, Risk management, Cross-functional collaboration, Operational excellence, Software development lifecycles, Analytical skills, Communication skills

Industry

Financial Services

Description

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.

Responsibilities

The Programme Manager will lead the end-to-end delivery of data science initiatives while ensuring alignment across research, product, and commercial teams. They are responsible for establishing governance, managing project priorities, and improving operational processes within the Data Science Office.