Senior Data Strategy & Operations Lead

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Preply's Data & Applied AI team sits at the intersection of data intelligence and AI-driven product innovation. We build the data foundations, analytics capabilities, and applied AI systems that power Preply's growth, from personalisation and matching algorithms to marketplace intelligence, experimentation platforms, and emerging AI-powered learning features.

As Preply scales and AI becomes increasingly central to our product and business strategy, the demands on this team are growing fast. We need someone who can bring operational rigour, strategic clarity, and cross-functional coordination to help the team deliver at its best. This role reports directly to the VP of Data & Applied AI.

This is not a people management role. It is a high-impact individual contributor position that acts as a force multiplier for the VP and the broader Data & Applied AI organisation, ensuring the team operates with focus, transparency, and momentum.

About the role:

You will be the operational backbone of the Data & Applied AI team and a trusted partner to the VP. You will own the team's planning cadences, drive cross-functional alignment, keep strategic initiatives on track, and ensure stakeholders across the company have visibility into the team's work and impact. You will also identify inefficiencies and design better ways of working, so the team can focus on what matters most.

If you are someone who thrives at the intersection of strategy and execution, who can navigate technical environments with confidence, and who gets energy from making teams work better, this role is for you.

What you’ll be doing:

Operating cadence & planning

• Own and run the operational rhythm of the Data & Applied AI org: team syncs, roadmap reviews, OKR cycles, quarterly planning, and retrospectives.
• Lead the annual and quarterly planning processes for the team, linking data and AI initiatives to company-level goals and product strategy.
• Manage the VP's leadership calendar and key team meetings, including agenda setting, preparation of materials, coordination with presenters, and follow-ups for cross-functional reviews, executive updates, and offsites.
• Own the preparation cycle for leadership forums and company-wide reviews where the Data & Applied AI team presents: ensuring the right content, framing, and data are ready.

Cross-functional alignment & stakeholder communication

• Serve as the connective tissue between the Data & Applied AI team and Product, Engineering, Commercial, and other functions, ensuring priorities are aligned and dependencies are visible.
• Own stakeholder communication: regular updates, progress reports, and dashboards that give leadership and partner teams clarity on what the team is delivering and why.
• Represent the Data & Applied AI team in company-wide planning processes (e.g., product planning, OKR alignment, resource allocation).

Project tracking & delivery

• Track progress on key data and AI initiatives end-to-end, from scoping through delivery, identifying risks early and driving resolution.
• Support the VP in managing the team's portfolio of work: ensuring the right things are prioritised, resourced, and moving forward.
• Drive accountability across workstreams without being a bottleneck, using lightweight but effective tracking and reporting mechanisms.

Operational improvement & efficiency

• Continuously identify friction in how the team works, whether in processes, tooling, collaboration patterns, or information flow, and design practical improvements.
• Build and maintain scalable processes that help the team operate efficiently as it grows (e.g., intake workflows, documentation standards, knowledge sharing).
• Support headcount planning, resource allocation, and team capacity analysis with data-driven models.

Strategic initiatives

• Lead or support high-impact strategic projects that span the Data & Applied AI org, such as evolving the team's operating model, defining AI adoption frameworks, or assessing build-vs-buy decisions for data infrastructure.
• Conduct analysis and research to inform key decisions: sizing opportunities, benchmarking approaches, or evaluating trade-offs.

What you need to succeed:

• 7+ years of experience in strategy, operations, or planning, ideally in a high-growth tech environment.
• Hands-on experience working closely with data, analytics, or AI/ML teams: you understand how these teams operate, what they deliver, and what slows them down.
• Technical familiarity: you can follow conversations about data pipelines, ML models, experimentation frameworks, and AI product features without needing everything translated. You are not expected to write code, but you should be comfortable in technical environments.
• Proven track record running operating cadences (OKRs, roadmap reviews, business reviews) and driving cross-functional alignment in complex organisations.
• Strong program and project leadership: you take ambiguous, cross-functional problems from definition to delivery with minimal hand-holding.
• Excellent stakeholder management: you build trust with both technical and non-technical leaders, communicate with clarity, and know how to influence without authority, including executive leadership.
• Highly data-driven: comfortable building models, spreadsheets, and dashboards to inform decisions. SQL or BI tool experience (e.g., Looker, Tableau) is a plus.
• Exceptional bias to action: you keep momentum high, unblock work proactively, and know how to get things done in fast-moving environments.
• Strong written and verbal communication skills, with experience producing executive-level updates, presentations, and documentation.
• Proficient user of AI tools (e.g., ChatGPT, Claude, Copilot, Cursor): you actively use AI to accelerate your work, whether for drafting, analysis, research, or automation, and you stay current with how these tools are evolving.

Nice to have:

• Previous experience as a data analyst, data scientist, or in a technical role before moving into strategy/operations.
• Familiarity with AI/ML product development lifecycles and the specific challenges of shipping AI-powered features.
• Experience with marketplace or edtech businesses.
• SQL fluency and comfort working directly with data tools.
• Experience supporting VP or C-level leaders as a strategic partner or Chief of Staff-type role.