Principal Data Strategist
New
C
CaylentCloud Services
We are a fully remote global company with employees in Canada, the United States and Latin America.Full-TimePrincipal
Salary$185,000 - $210,000 per year
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Job Details
- Experience
- 10+ years in data strategy, governance, architecture, or analytics consulting; 4+ years in the AWS data and analytics landscape.
- Required Skills
- AWSSnowflakeDatabricksData analytics
Requirements
- 10+ years in data strategy, governance, architecture, or analytics consulting with enterprise clients.
- 4+ years in the AWS data and analytics landscape.
- Proven ability to align data strategy with business outcomes and communicate complex ideas clearly to C-suite executives.
- Strong consulting mindset with the ability to diagnose, scope, and structure solutions to ambiguous challenges.
- Expert facilitation skills for workshops and strategy sessions with excellent storytelling.
- Deep understanding of modern data platforms such as Databricks, Snowflake, and AWS-native stacks.
- Experience with AI/ML strategy and hands-on use of enterprise AI platforms like Amazon Bedrock or SageMaker.
- Expertise in data governance frameworks, quality management, and regulatory compliance like GDPR, CCPA, or HIPAA.
- Willingness to travel up to 25% for customer and AWS meetings.
- Preferred: AWS certifications or data governance certifications.
- Preferred: Experience working across regulated industries such as financial services, insurance, healthcare, or higher education.
Responsibilities
- Lead the full lifecycle of outcome-focused planning engagements from discovery through executive readout.
- Facilitate alignment across executive sponsors and business consumers to define measurable business outcomes.
- Develop TCO/ROI models and financial justifications for data and platform investments.
- Design data governance frameworks including operating models, stewardship, policies, and compliance controls.
- Deliver actionable, phased implementation roadmaps with clear accountability and organizational change management strategies.
- Assess data and AI maturity across strategy, processes, architecture, governance, and people.
- Drive strategic account growth by uncovering new opportunities and collaborating with internal sales and solutions teams.
- Perform technical evaluations for candidates and provide strategic guidance to engagement teams.
- Refine methodologies, create reusable frameworks, and codify lessons learned to mature the Modern Data Strategy practice.
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