
Senior Data Consultant – AI Readiness
Posted 22 hours ago

Posted 22 hours ago
This is a fully remote position, open to applicants in United States.
• Oversee one or more client projects or various workstreams, ensuring that delivery meets scope, timeline, budget, quality, and business goals.
• Set project priorities, deliverables, responsibilities, and execution strategies for project teams.
• Lead strategy, roadmap, planning, solution design, and executive decision-making workshops.
• Evaluate business challenges, formulate recommendations, and assist client decision-making through consultative problem-solving.
• Convert business requirements into feasible, scalable, and value-oriented technical solutions.
• Supervise project scope, finances, milestones, risks, issues, dependencies, and the quality of delivery.
• Report on status, risks, recommendations, and executive updates.
• Review and authorize client deliverables.
• Engage in discovery sessions, opportunity assessments, solution development, proposal crafting, and client presentations.
• Identify avenues to enhance client engagements and promote account growth.
• Cultivate trusted advisor relationships with business, technology, and executive stakeholders.
• Contribute to consulting methodologies, delivery frameworks, reusable assets, and best practices.
• Mentor and coach team members; assist with recruiting, interviewing, onboarding, knowledge sharing, and ongoing improvement.
• Maintain expertise in contemporary data, AI, cloud, governance, analytics, and emerging technologies.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.
• Generally 8–10+ years of experience in delivering enterprise data, analytics, AI, cloud, or digital transformation projects.
• At least five years of consulting or professional services experience managing complex client engagements.
• Proven experience leading project teams, multiple workstreams, or enterprise initiatives with minimal supervision.
• Experience in delivering modern data platform solutions, including data engineering, cloud platforms, governance, analytics, AI, or enterprise architecture.
• Proficiency in managing project scope, finances, delivery governance, stakeholder communications, and executive presentations.
• Strong leadership, consulting, communication, facilitation, analytical, and relationship management abilities.
• Proven ownership, business acumen, executive presence, and competence in mentoring and developing others.
• Preferred: Master’s degree or MBA.
• Preferred: Professional certifications in cloud platforms, AI, data management, Agile, project management, or enterprise architecture.
• Preferred: Familiarity with Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud Platform, or similar technologies.
• Medical, Dental, and Vision Insurance.
• 401(k).
• Paid company holidays.
• Paid time off.
• Paid parental and caregiver leave.
• Cross-department training and development.
• Sponsored certifications and credentials for continuous learning.
• Multi-million-dollar technology lab.
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