Data Strategy Tech Lead

Ovii's Interpretation of the Role

The Data Strategy Tech Lead drives product vision, roadmap, and delivery for SentiLink's internal data platforms and datasets. This role partners across engineering, data science, and product to turn ambiguous needs into clear specifications and measurable outcomes.

Role Snapshot

• Lead internal data platform product vision & roadmap
• Own quality, reliability, and usability of core datasets
• Coordinate multi‑team, data‑heavy initiatives
• Translate ambiguous requirements into actionable specs
• Define and track success metrics for data assets
• Partner with engineering, data science, and analytics

Must-Have Requirements

• big‑data platforms (Spark, Databricks, BigQuery, Snowflake)
• data pipeline design
• data modeling
• product management for data products
• cross‑functional stakeholder partnership
• project management of complex technical programs
• metrics definition & monitoring
• technical communication
• data platform ownership
• large‑scale dataset handling
• cross‑functional initiative delivery

Nice-to-Have Signals

• identity verification
• financial services

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: UNSPECIFIED
• Remote countries: United States
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Remote eligibility details
• Education requirement
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Set and execute the product roadmap for internal data‑intensive systems and shared services
• Improve data quality, completeness, latency, and reliability across core datasets
• Future‑proof data and platform assets to scale with evolving product and analytics needs
• Partner with engineering, data science, solutions analytics, and product teams to clarify use cases and requirements
• Prioritize competing internal demands and balance short‑term impact with long‑term strategic value
• Translate complex internal problems into clear specifications and align multiple teams around them
• Apply structured project management to initiatives with ambiguous scopes and intricate dependencies
• Define, monitor, and report success metrics such as data quality, reliability, and stakeholder satisfaction

Good Fit If You Have

• Enjoys shaping data‑infrastructure strategy at scale
• Thrives in ambiguous, multi‑team environments
• Strong communicator who can explain technical concepts to non‑technical audiences
• Focus on durability, maintainability, and long‑term adaptability of data systems