Data Strategy Tech Lead

SentiLink

Data Strategy Tech Lead managing internal technical initiatives for data-intensive systems at SentiLink. Collaborating with cross-functional teams to build and operationalize data for the future.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $180,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing data-intensive systems and foundational datasets, with a strong focus on cross-functional collaboration and structured project management. Proven ability to translate complex requirements into actionable specifications while ensuring alignment and scalability of internal systems.

Highest-signal resume keywords

Data Platform ManagementBig Data ConceptsCross-Functional CollaborationProject ManagementData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData CleaningData NormalizationDistributed SystemsSparkDatabricksBigQuerySnowflakeData Quality MetricsTechnical Specification Development

Soft Skills

Excellent CommunicationStakeholder AlignmentPrioritizationProblem-SolvingTeam Facilitation

Industry Keywords

Data-Intensive SystemsInternal PlatformsTechnical InitiativesOperational NeedsAnalytics

Tech Stack

Tools & technologies

BigQuerySpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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!