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Head Data Science Jobs in Delaware (NOW HIRING)

Delaware Schools Consortium

Science Teacher - SY25/26

Dover, DE · On-site

$48K - $62K/yr

Responsibilities Under the supervision of the Head of School, the General Education Teacher (in and ... Analyze assessment data to identify areas of strength and areas for growth and adjust instructional ...

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Head Data Science information

See Delaware salary details

$21.1K

$103.4K

$191.6K

How much do head data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for head data science in Delaware is $103,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,350.00 and $139,937.00 per year, depending on experience, location, and employer.

What does a Head of Data Science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a Head of Data Science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a Head of Data Science, and why are they important?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Delaware? The most popular types of Data Science jobs in Delaware are:
Head Data Science jobs near you

Lead (Associate Director), Data Quality, Operations & Governance

Astellas Pharma, Inc.

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Lead, Data Quality, Operations & Governance
About Astellas
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com.
Are you driven to make a real difference in the lives of patients?
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
Purpose & Scope
The Lead, Data Quality, Operations & Governance is a key people leader within the Data Center of Excellence (COE), responsible for the hands-on execution and continuous improvement of data quality, governance, and operational processes that support commercial data products across core domains such as HCP/HCO, affiliations, territories, alignments, sales performance, engagement, and customer master data. This role ensures that data feeding field reporting, targeting, and analytics is trusted, consistently defined, well documented, and fit for purpose.
Reporting to the Head, Data Strategy, Quality & Governance COE, this role manages a team of three: Partner, Oncology Data Quality, Ops & Governance; Partner, Non-Oncology Data Quality, Ops & Governance; and Partner, Eligibility, Roster & TPA. The Lead provides direction, coaching, and prioritization for this team while partnering closely with Commercial Operations, Field Leadership, Analytics, and Digital/IT to operationalize data standards, controls, and monitoring across the commercial data lifecycle. The Lead, Data Quality, Operations & Governance focuses on both strategic execution and day-to-day operations, translating governance decisions into robust, scalable processes and ensuring their consistent adoption.
Role and Responsibilities
  • Lead and develop a high-performing team of three partners, including goal setting, coaching, performance management, and workload prioritization.
  • Oversee data acquisition and onboarding activities by identifying, assessing, and validating new or updated internal and external data sources (e.g., syndicated, specialty pharmacy, and customer data), coordinating integration support, and ensuring they meet defined business and quality standards before production use.
  • Act as a subject-matter expert on key commercial data assets and vendors, informing and tracking data-related budgets and contracts, and defining and enforcing SLAs related to data quality, timeliness, and completeness for acquired data.
  • Lead and represent the Data COE in commercial data governance forums and working groups, bringing operational and quality perspectives to policies, standards, and controls and ensuring outcomes are documented in catalogues and governance artifacts.
  • Maintain and evolve commercial data governance artifacts by defining and curating business definitions, metadata, data lineage, and role-based access for key commercial data assets, leveraging enterprise data catalog tools (e.g., Collibra) where appropriate.
  • Execute and enhance data quality processes across key commercial domains including HCP/HCO, affiliations, territories, alignments, sales performance, engagement, customer master, and eligibility/roster/TPA to ensure accuracy, completeness, consistency, and timeliness.
  • Implement and maintain recurring data quality monitoring, including rule execution, scorecards, and alerts, to proactively detect and remediate data issues impacting field reporting, targeting, and analytics.
  • Partner with the MDM function to operationalize survivorship rules, golden record governance, and stewardship workflows, ensuring master data integrity across systems and downstream processes.
  • Coordinate issue triage and root-cause analysis across internal teams and vendors, driving structured remediation plans, assigning ownership, and tracking resolution through to closure.
  • Oversee Eligibility, Roster, and Third-Party Access (TPA) data operations, including vendor oversight, refresh cadence, controls, exception handling, and downstream availability to field execution platforms.
  • Contribute to the commercial data roadmap by providing operational and quality-focused input on new data products, enhancements, and AI-ready data foundations.
  • Collaborate with Digital/IT and the Platform COE to shape and test data enablement capabilities such as data pipelines, warehouse/lakehouse models, and MDM configuration to ensure they are reliable, scalable, and aligned to data quality requirements.
  • Drive process optimization and automation initiatives that simplify data management workflows, reduce manual effort, and improve cycle times and reliability for the team and key stakeholders.
  • Provide transparent reporting on data quality health through dashboards, metrics, and regular updates to stakeholders in Commercial Operations, Field Leadership, Analytics, and Digital/IT; summarize implications and recommended actions.
  • Serve as a subject-matter and consultative partner to Field Ops leads, helping them understand data quality constraints and opportunities and improving speed to insight through better data foundations.
  • Design and implement automated data quality validation processes to detect data issues and trigger timely alerts for remediation.

Required Qualifications
  • Bachelor's degree
  • 7-10+ years of experience in commercial data quality, data operations, data governance, or related analytics/data management roles, ideally within pharmaceutical or biotech environments.
  • Prior experience leading or managing a small team, including setting priorities and developing talent.
  • Strong knowledge of commercial data domains, including HCP/HCO, affiliations, sales performance, claims, and field execution or engagement data.
  • Demonstrated experience executing or supporting data governance, data quality, or stewardship capabilities in a regulated setting.
  • Hands-on experience with modern data platforms such as Snowflake or Databricks, data quality tools, and/or MDM solutions, including configuration and monitoring.
  • Familiarity with commercial data vendors and sources such as IQVIA, Symphony, and Veeva and their typical structures, refresh patterns, and usage in field operations and analytics.
  • Exposure to automation and AI/ML approaches for enhancing data quality monitoring, anomaly detection, or workflow efficiency, with an understanding of AI-ready data requirements.
  • Strong analytical, problem-solving, and root-cause analysis skills, with the ability to translate complex data issues into clear, actionable remediation steps.
  • Effective communication and stakeholder influence skills within matrixed organizations, with a track record of partnering across Commercial Operations, IT, and Analytics.

Preferred Qualifications
  • Advanced degree in a relevant field such as Information Management, Data Science, Business, or a related discipline preferred.

Location and Working Environment
This position is based in Northbrook, Illinois. Remote work from anywhere in the US is available.
At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.
What awaits you at Astellas?
  • Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide. Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
  • Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
  • A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.

Our Organizational Values and Behaviors
Values: Innovation, Integrity and Impact sit at the heart of what we do.
Behaviors: We come together as 'One Astellas', working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution.
Salary Range
$144,060 - 205,800 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations)
Benefits:
  • Medical, Dental and Vision Insurance
  • Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
  • 401(k) match and annual company contribution
  • Company paid life insurance
  • Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
  • Long Term Incentive Plan for eligible positions
  • Company fleet vehicle for eligible positions
  • Referral bonus program

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