Data Science Director
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 1, 2026. Depository Trust & Clearing Corporation scores B on the Alion truth index.
Are you ready to make an impact at DTCC?
Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.
Pay and Benefits:
- Competitive compensation, including base pay and annual incentive
- Comprehensive health and life insurance and well-being benefits
- Pension
- Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
The impact you will have in this role:
We are seeking a highly skilled Data Scientist to drive AI research, experimentation, and innovation initiatives that help shape DTCC’s future AI capabilities. In this role, you will explore emerging techniques in machine learning, generative AI, and agent-based systems, evaluating how these technologies can be applied to solve complex problems across the organization.
You will lead the design and development of proof-of-concepts and prototypes that demonstrate new AI capabilities, working closely with engineering and product teams to translate innovative ideas into practical technical approaches that can be implemented at enterprise scale
Your Primary Responsibilities:
- Strategic Leadership: Define the technical vision and AI strategy, including adoption of new technologies like generative AI and LLMs.
- Team Management & Mentorship: Hire, mentor, and lead data scientists, fostering professional growth and building a high-performing team.
- Project Portfolio Management: Oversee the end-to-end delivery of data science projects, from conception to deployment (MLOps).
- Stakeholder Collaboration: Partner with Product, Engineering, and Business leaders to align data initiatives with business objectives and maximize ROI.
- Technical Guidance & Quality Assurance: Ensure high standards for data modeling, machine learning algorithms, and analytical methodologies.
- Data Strategy & Governance: Set standards for data collection, quality, and usage across the organization.
- Business Impact Measurement: Define KPIs and track the effectiveness of models and data initiatives.
**NOTE: The Primary Responsibilities of this role are not limited to the details above. **
Qualifications:
- Bachelor’s degree in appropriate field of study
- Minimum 10 years of relevant experience in data science, machine learning, or applied AI with a demonstrated ability to lead complex analytical and AI-driven initiatives.
Talents Needed for Success:
- Strong expertise in machine learning and AI techniques, including statistical modeling, generative AI, large language models, and modern AI frameworks.
- Experience researching and prototyping emerging AI technologies, including agent-based systems, prompt orchestration, and advanced AI experimentation methodologies.
- Strong data and analytical skills, including proficiency in SQL and modern data platforms such as Snowflake or other large-scale data environments.
- Ability to design and evaluate AI experiments and prototypes, translating research insights into clear technical recommendations and architectural guidance for engineering teams.
- Curiosity and innovation mindset, with a demonstrated ability to identify emerging technologies, assess their relevance, and explore new approaches to solving complex problems.
- Strong collaboration and communication skills, with the ability to clearly articulate complex AI concepts and research findings to both technical and non-technical stakeholders.
- Technical leadership and mentoring experience, guiding other data scientists and contributing to the development of best practices in AI research, experimentation, and evaluation
We offer top class training and development for you to be an asset in our organization!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.