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Director Of Data Services Jobs (NOW HIRING)

Alpaca

Director of Data

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of ... The Data department serves every function at Alpaca: it powers partner invoicing and revenue ...

Axle

Director of Data Solutions

Rockville, MD

Transportation Reimbursement Account (TRN) The Director of Data Solutions is the senior technical ... Define the modeling/simulation practice charter: scope, service model, standards, compute strategy ...

Axle

Director of Data Solutions

Rockville, MD · On-site

Transportation Reimbursement Account (TRN) The Director of Data Solutions is the senior technical ... Define the modeling/simulation practice charter: scope, service model, standards, compute strategy ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

Fanatics Collectibles

Director of Data Science

New York, NY · On-site

$336K - $356K/yr

We ignite the passions of global sports fans and maximize the presence and reach for our hundreds ... Work with data engineering lead to create services that can ingest and supply data to and from both ...

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Director Of Data Services information

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$52K

$128.5K

$200K

How much do director of data services jobs pay per year?

As of Jul 16, 2026, the average yearly pay for director of data services in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Director of Data Services, and how can they effectively address them?

A Director of Data Services often faces challenges such as aligning data strategy with evolving business goals, managing data quality across disparate systems, and ensuring compliance with data governance policies. Balancing the needs of multiple stakeholders while maintaining secure and scalable data infrastructure requires strong communication and leadership skills. Effective Directors proactively foster collaboration across IT, analytics, and business teams, and invest in ongoing staff development to stay ahead of technological changes.

What are the key skills and qualifications needed to thrive as a Director Of Data Services, and why are they important?

To thrive as a Director Of Data Services, you need expertise in data management, analytics, and governance, often supported by a degree in computer science or a related field and significant leadership experience. Familiarity with data warehousing platforms, big data tools (like Hadoop or Spark), and relevant certifications (such as CDMP or AWS Certified Data Analytics) is typically required. Strategic thinking, strong communication, and the ability to lead cross-functional teams are essential soft skills in this position. These competencies ensure effective data strategy execution, data integrity, and alignment with organizational goals in a rapidly evolving digital landscape.

What is the difference between Director Of Data Services vs Data Analyst?

AspectDirector Of Data ServicesData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often leadership experienceBachelor's degree in Data Science, Statistics, or related field; sometimes certifications
Work EnvironmentLeadership roles overseeing data teams, strategic planningAnalyzing data sets, creating reports, supporting decision-making
Employer & Industry UsageUsed in large organizations, tech companies, enterprisesCommon across industries for data-driven roles

The main difference is that the Director Of Data Services focuses on strategic leadership and managing data teams, while Data Analysts primarily analyze data and generate reports. The Director role involves higher-level decision-making and oversight, whereas Data Analysts execute specific data tasks to support business goals.

What does a Director of Data Services do?

A Director of Data Services oversees the strategy, management, and utilization of data within an organization. This role is responsible for leading teams that handle data warehousing, data integration, analytics, and sometimes data governance. They ensure that data systems are secure, reliable, and aligned with the company’s objectives. Additionally, they work closely with other executives to drive business value from data and to comply with data-related regulations. The Director of Data Services often sets the vision for how data is collected, stored, and used across the organization.
More about Director Of Data Services jobs
What cities are hiring for Director Of Data Services jobs? Cities with the most Director Of Data Services job openings:
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Director Of Data Services jobs near you
Infographic showing various Director Of Data Services job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Director of Data

Director of Data

Alpaca

Remote

Full-time

Re-posted 25 days ago

Job description

Who We Are:
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values-Stay Curious, Have Empathy, and Be Accountable-and are ready to make a significant impact, we encourage you to apply.
Your Role:
We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap.
The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search).
This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team.
Things You Get To Do:
  • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery.
  • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling.
  • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches.
  • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements.
  • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL.
  • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects.
  • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development.
  • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products.
  • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows.
  • Operate production systems: own on-call processes, incident response, and SLOs for data freshness, accuracy, and availability.

Who You Are (Must-Haves):
  • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs).
  • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage.
  • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL.
  • Track record of building self-service analytics capabilities for non-technical stakeholders.
  • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services.
  • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions.
  • Experience managing distributed/remote teams across multiple time zones.
  • Strong stakeholder management: you can translate between executive priorities and engineering execution.
  • Experience with GCP (GKE, GCS, BigQuery migration), Kubernetes, Helm, Terraform.

Who You Might Be (Nice-to-Haves):
  • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation).
  • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube).
  • Background in compliance analytics (AML/Actimize, KYC, margin calls).
  • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.

How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
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