Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 3 Month(s)
No Travel Required
Skills
Artificial Intelligence
Customer Facing
Data Engineering
Data Governance
Data Science
Databricks
Communication
IT Consulting
Knowledge Sharing
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Mentorship
Microsoft Azure
Presentations
Project Scoping
Python
SQL
Snow Flake Schema
Job Details
Our client is seeking a Senior Consultant, Data & AI for a 3-6 month contract (extendable). This is a remote position. Due to the nature of the work, client is unable to work with H-1B candidates.
- On any given day we hope that you will:
Serve as a client-facing expert, translating complex technical concepts into business-relevant insights and recommendations. - Work with the project manager to manage project scope, timelines, and deliverables while coordinating with internal teams and client stakeholders.
- Manage client stakeholder expectations alongside the project leader and executive sponsor.
- Drive and/or support the breakdown of work within the team s work management tool for the data science and data engineering workstreams.
- Facilitate workshops, lead client meetings, and contribute to solution design with a clear understanding of business goals.
- Mentor junior team members and contribute to knowledge sharing and internal capability development.
- Lead and execute data science and data engineering workstreams within AI strategy and implementation projects, with a focus on delivering measurable business value.
- Assess client data ecosystems and architect scalable, secure, and resilient Data and AI infrastructure using modern cloud (e.g., AWS, Azure, Google Cloud Platform) and data platforms (e.g., Databricks, Snowflake).
- Design and build robust data pipelines, analytics workflows, and machine learning models.
- Advise clients on infrastructure strategy, including cloud platform selection, cost optimization, data governance, and MLOps maturity.
In order to succeed, you will need to have some combination of the following:
- Hands-on experience in data science, data engineering, or applied AI roles, preferably within a technology consulting or professional services environment.
- Demonstrated client-facing experience, including stakeholder communication, solution presentation, and project leadership in a professional services organization.
- Demonstrated ability to translate complex technical topics into clear, business-oriented language for executive audiences.
- Experience leading project workstreams, managing deliverables, and mentoring junior team members.
- Proficiency in tools/languages such as Python, SQL, Spark, and cloud platforms (e.g., Azure, AWS, or Google Cloud Platform).
- Deep expertise with at least one major cloud platform (Azure, AWS, or Google Cloud Platform), including its core data, analytics, and AI/ML services.
- Hands-on experience designing and implementing data-intensive infrastructure, such as data lakes, data warehouses, or lakehouse platforms (e.g., Databricks, Snowflake, BigQuery, Redshift).
- Experience with MLOps, model deployment, and infrastructure-as-code (e.g., Terraform, CloudFormation) is strongly preferred.
- Strong business acumen, organizational skills, and ability to manage ambiguity in fast-paced engagements.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.