Data Strategy Tech Lead

🕒 July 28

🇺🇸 United States – Remote

💵 $180k - $230k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SentiLink

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🔐 Security

💳 Fintech

💸 Finance

💰 $70M Series B on 2021-08

Security • Fintech • Finance

SentiLink is a company that partners with leading financial institutions to tackle identity theft and fraud at the point of application. Their solutions incorporate expert analysis and machine learning models to identify and manage fraud effectively. SentiLink targets various types of fraud including synthetic, identity theft, and first-party fraud, and provides flexible integration options such as APIs to suit diverse customer needs. With a focus on data security and a customer-centric approach, SentiLink delivers real-time insights and solutions to financial institutions and fintech companies, enhancing their ability to approve legitimate customers while minimizing fraud.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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!