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Senior Director Data Science Jobs in Delaware (NOW HIRING)

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

What You'll Contribute The Senior Manager, Statistical Modeling will be responsible for developing ... Stay current with advancements in machine learning and data science, and evaluate new tools and ...

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

What You'll Contribute The Senior Manager, Statistical Modeling will be responsible for developing ... Stay current with advancements in machine learning and data science, and evaluate new tools and ...

Showing results 41-60

Senior Director Data Science information

What does a senior director of data science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a senior director of data science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What are the key skills and qualifications needed to thrive as a senior director data science, and why are they important?

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What are popular job titles related to Senior Director Data Science jobs in Delaware?

For Senior Director Data Science jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Director Data Science jobs in Delaware look for?

The top searched job categories for Senior Director Data Science jobs in Delaware are:

What cities in Delaware are hiring for Senior Director Data Science jobs?

Cities in Delaware with the most Senior Director Data Science job openings:

Sr Director of Software Engineering

JPMorgan Chase & Co.

Wilmington, DE • On-site

$245K/yr

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description


Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community Banking Risk AI/ML Model Engineering team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances. You will be responsible to leading the integration of various model platforms and models that support Chase's card, consumer and business banking, auto and mortgage portfolio plus regulatory functions.
Job responsibilities
  • Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
  • Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
  • Provide hands-on thought leadership in building cloud-based Model integration solution architectures.
  • Demonstrate a solid understanding of consumer financial products, data systems/environments, and processes required to implement Risk and Finance models.
  • Directly manages multiple areas with strategic transactional focus
  • Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
  • Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
  • Manages multiple stakeholders, complex projects, and large cross-product collaborations
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
  • Champions the firm's culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization
  • Experience developing or leading large or cross-functional teams of technologists
  • Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
  • Experience leading complex projects supporting system design, testing, and operational stability
  • Experience building application frameworks and/or developing platforms.
  • Background with machine learning frameworks and big data technologies such as Databricks, Snowflake, and Spark.
  • Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
  • Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
  • Experience with hiring, developing, and recognizing talent
  • Extensive practical cloud native experience
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills
  • Experience working at code level

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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