AI Data Strategy & Governance Lead
Chicago, Illinois, United States
Full Time Senior-level / Expert USD 180K - 200K
SDI Presence LLC
- Salary Range: $180,000.00/yr. to $200,000.00/yr.
- Base salary may vary based on factors such as location, skills, and relevant experience.
- Some positions may include additional compensation in the form of bonuses or commissions. Medical, Dental, Vision, company-provided Life Insurance, Short and long-term disability, Matched Retirement Savings, Wellness Program, Paid time off and much more!
- Lead the planning, execution, and delivery of Data & AI projects, ensuring they meet scope, timeline, quality, and budget objectives.
- You will provide strategic direction and leadership in AI data strategy and ensuring partnership with the Solutions team to maintain repeatable, scalable solutions. Also, you are responsible for guiding teams in aligning data initiatives with organizational objectives and driving business value through data-driven decision-making
- Participate in solutions strategy, directions, and drive capabilities
- Develop detailed project plans, coordinate resources, and monitor progress.
- Identify risks and issues proactively, implementing mitigation strategies.
- Create, develop, and manage high-performance delivery teams, from junior to senior levels.
- Foster a collaborative and innovative team environment.
- Conduct performance reviews, mentorship, and skill development initiatives.
- Maintain a solid understanding of the latest Data & AI technologies (e.g., machine learning frameworks like TensorFlow and PyTorch, data pipelines like Spark and Kafka, cloud platforms such as AWS, Azure, GCP).
- Collaborate with technical teams to ensure best practices and technical excellence in project delivery.
- Provide technical guidance during project execution.
- Build and nurture strong, lasting relationships with clients to foster trust and collaboration.
- Engage with clients to understand their requirements, expectations, and success criteria.
- Maintain positive momentum on each project by proactively managing client communication and expectations.
- Manage client communications, updates, and satisfaction.
- Translate client needs into actionable project plans and articulate the business value of proposed technical solutions.
- Collaborate with Sales to draft, negotiate, and finalize project contracts with clients.
- Oversee billing, invoicing, and financial reconciliation for projects.
- Ensure contractual obligations are met and managed effectively.
- Implement best practices, methodologies, and tools for efficient delivery.
- Gather feedback for process improvements.
- Stay updated with industry trends and emerging technologies.
- Identify opportunities for practice growth and contribute to the development of new service offerings.
- Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
- Minimum of 8-10 years of overall professional experience with 5+ years of experience in delivering Data Governance and Management projects.
- Minimum of 2+ years of delivering AI focused projects.
- Proven experience in managing multi-disciplinary delivery teams.
- Hands-on familiarity with Data & AI technologies, tools, and platforms (e.g., Python, PowerBI, Databricks, Tableau, cloud services, etc.).
- Strong understanding of data architecture, data pipelines, ETL processes, and AI/ML lifecycle.
- Experience in project management methodologies (Agile, Scrum, Waterfall).
- Excellent leadership, communication, and stakeholder management skills.
- An ability to build and maintain strong client relationships and keep projects progressing positively.
- Certifications in project management (PMP, Scrum Master, etc.)
- Certifications or experience in cloud platforms (AWS, Azure, GCP)
- Prior experience in consulting or a client-facing delivery role.
- Familiarity with data governance, security, and compliance standards.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- Certification in Databricks, Microsoft Data & AI or related field is a plus.
- Experience in delivering Machine learning and Data Analytics projects.
- Strong problem-solving and strategic thinking skills.
- Excellent presentation and communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Tags: Agile Architecture AWS Azure Computer Science Consulting Data Analytics Databricks Data governance Data pipelines Data strategy Engineering ETL GCP Kafka Machine Learning Pipelines Power BI Python PyTorch Scrum Security Spark Tableau TensorFlow
Perks/benefits: Career development Equity / stock options Gear Health care Insurance Medical leave Salary bonus Startup environment Team events Travel Wellness
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