Data Strategy Tech Lead

SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.

At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them.

We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner. We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity.

We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India.

We’re looking for a leader with a technical background and deep understanding of data to lead internal initiatives within SentiLink’s Tech organization. This team builds and maintains SentiLink’s core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. Many of these systems are data-heavy and highly interdependent, requiring strong product stewardship to ensure clarity, quality, and coordinated execution.

While the portfolio will include a range of internal technical projects, many of the most impactful initiatives are deeply data-driven. You will work on efforts that improve how we acquire, structure, and operationalize data across the company—building internal assets that support both current product lines and future innovation. You will bring product discipline and project leadership to work that spans engineering, data science, solutions analytics, and product teams.

In this role, you will partner with teams across the company to understand how internal systems and datasets are used today and what they must support as we scale. You will translate varied internal needs into clear product requirements, prioritize improvements, and drive delivery from concept through adoption.

• Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets.

• Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms.

• Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs.

• Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies.

• Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.

• Translate complex internal needs into clear, actionable specifications and ensure alignment across teams.

• Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies.

• Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction.

• Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.

• 5+ years of experience with data-heavy or platform-oriented products, with a focus on data platform.

• Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar).

• Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.

• Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces.

• Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies.

• Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs.

• Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams.

• A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.

• $180,000/year - $230,000/year + equity + benefits

   

• Employer paid group health insurance for you and your dependents

• 401(k) plan with employer match (or equivalent for non US-based roles)

• Flexible paid time off

• Regular company-wide in-person events

• Home office stipend, and more!

• Follow Through

• Deep Understanding

• Whatever It Takes

• Do Something Smart