Analytics Engineering Manager

About Tala

Tala is the AI-native credit infrastructure that connects global capital to the global majority.  We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, Tala has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. Tala is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on.

The company has been named to the Fortune Impact 20 list, CNBC’s World’s Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes’ Fintech 50 list for ten years running.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

The Role 

The Analytics Engineering Manager leads the Analytics Engineering team and is the senior technical leader for the horizontal platform initiatives that make Tala's data usable, trusted, and fast to work with across markets. This person has the authority to set priorities, the technical depth to lead the architecture, and the judgment to know when to build and when to delegate.

This is a hands-on management role: part people manager, part senior architect/builder. The person in this seat manages the Analytics Engineering team, oversees the quality and pace of its work, and acts as lead architect on selected platform initiatives, setting architecture and sequencing for work spanning Analytics Engineering and the data infrastructure they depend on. They are also expected to propose and drive changes that help the team deliver faster and more efficiently. When the work calls for it, they build alongside the engineers delivering it — not as additional throughput, but as the senior technical voice shaping how it gets built. Their time is split between leading the team, architecting selected initiatives, and building, and the balance shifts with what is blocking delivery.

What You'll Do:

• Lead, coach, and develop the Analytics Engineering team: set clear expectations, run planning and prioritization, give regular feedback, and support hiring, performance, and career growth.
• Oversee the team's delivery: review designs and code, track commitments against dates, and raise risks and trade-offs early.
• Propose and drive ways for the team to go faster and spend less effort per delivery, such as better tooling, automation, shared standards, and AI-assisted workflows, and see the adopted ones through to completion.
• Decide where to build directly, where to delegate, and where to step in as lead architect, based on what is actually blocking delivery.
• Lead the architecture for key horizontal projects in close partnership with the team. Accountable for taking initiatives to the finish line.
• Make and document the sequencing calls on team initiatives: what gets finished, what gets deferred, and what gets stopped.
• Provide senior technical review on architecture decisions before Tala commits engineering capacity to them.
• Design for governance and compliance from the outset (Tala operates under distinct regulatory regimes).
• Clear dependency chains and unblock ICs across teams by removing tech debt, resolving ambiguity, and forcing decisions to closure.
• Build production data assets, services, and tooling directly when it is the fastest way to unblock delivery; such as models, pipelines, SDKs or agent harnesses.
• Work alongside the Analytics Engineering team's engineers on shared initiatives, adding senior capacity to work that is currently single-threaded through individual engineers.
• Own end-to-end delivery of specific platform assets, whether built directly or by the team.
• Define and set standards for how Tala's Analytics functions use AI in daily workflow — code generation, model development, documentation, testing, and self-serve analysis.
• Build the context and guardrail layer that lets AI agents query governed metrics safely, so capability and compliance ship together rather than sequentially.
• Move the organization from experimentation to adopted practice with documented patterns and best practices.
• Raise the technical bar through design review, pairing, and documented standards. 
• Reduce friction to access and understand data; treat data education and documentation as core deliverables, not afterthoughts.
• Develop senior engineers into technical leads so that architecture ownership spreads further across the team.

What You'll Need:

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Compensation: USD 160,000 – 200,000 per year salary