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Client Data Manager Jobs in Washington (NOW HIRING)

Data Visualization Engineer

Mclean, VA · On-site

$110K - $160K/yr

This impactful work will translate our client's data into actionable insights * Use expert ... Ability to be a self-starter, take ownership of opportunities, work independently, and manage ...

This impactful work will translate our client's data into actionable insights * Use expert ... Ability to be a self-starter, take ownership of opportunities, work independently, and manage ...

This impactful work will translate our client's data into actionable insights * Use expert ... Ability to be a self-starter, take ownership of opportunities, work independently, and manage ...

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers ... dots for our Client and internal team * Advanced understanding of a statistical programming ...

As a Data and Analytics Manager, you will be responsible for architecting data and analytics ... Ability to travel (~25%) as needed to client sites for sales meetings and project engagements.

Partner with client account teams to understand business priorities, transformation objectives, and client pain points. * Translate clients' need for compelling Data & AI solution opportunities that ...

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Client Data Manager information

What are the key skills and qualifications needed to thrive as a Client Data Manager, and why are they important?

To thrive as a Client Data Manager, you need strong analytical abilities, attention to detail, and a solid background in data management or a related field, often supported by a relevant degree. Proficiency with data management systems such as SQL databases, CRM platforms, data visualization tools, and certifications like CDMP (Certified Data Management Professional) are commonly required. Excellent communication, problem-solving skills, and the ability to collaborate with both technical and non-technical stakeholders help set top performers apart. These skills ensure accurate client data handling, compliance with data standards, and effective support for business decision-making.

What are the main challenges a Client Data Manager faces when ensuring data accuracy across multiple platforms?

Client Data Managers often work with diverse data sources and platforms, making it challenging to maintain consistency and accuracy. Common obstacles include integrating data from legacy systems, managing frequent updates, and ensuring compliance with data protection regulations. To address these challenges, Client Data Managers collaborate closely with IT, compliance, and operations teams to implement standardized data management processes and regular audits. Developing strong communication and analytical skills is key to navigating these complexities and ensuring reliable client information.

What are Client Data Managers?

Client Data Managers are professionals responsible for overseeing the collection, storage, and analysis of client-related data within an organization. They ensure data accuracy, security, and compliance with relevant regulations, while also facilitating data-driven decision-making. Client Data Managers often collaborate with IT, sales, and marketing teams to optimize data processes and enhance client relationships.
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What cities in Washington are hiring for Client Data Manager jobs? Cities in Washington with the most Client Data Manager job openings:
Infographic showing various Client Data Manager job openings in Washington as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 6% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Data Science Manager, Gen AI - SFL Scientific

Data Science Manager, Gen AI - SFL Scientific

Deloitte

Mclean, VA • On-site

Full-time

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


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients navigate their most critical moments and transformational initiatives. The Data Science Manager at SFL Scientific will lead a team to design, develop, and deploy AI solutions across various industries, ensuring the technical direction and successful delivery of client engagements.
Responsibilities:
• Develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains.
• Be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
• Provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes.
• Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
• Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements.
• Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production.
• Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines.
• Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications.
• Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests.
• Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
• Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development.
• Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles.
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 6+ years of experience working in data science, data engineering, software engineering, or MLOps
• 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
• 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
• 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
• 4+ years of experience managing teams and delivering complex and critical projects
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
• Experience with developing and testing GenAI solutions
• Experience in a client-facing role or internal AI product development role
• Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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