
Senior Data Consultant
Posted Aug 8

Posted Aug 8
This is a fully remote position, open to applicants in United States.
• Oversee one or multiple client engagements or workstreams, ensuring that delivery aligns with scope, timelines, budget, quality, and business goals.
• Direct project teams by setting priorities, deliverables, accountability, and execution strategies.
• Organize workshops for strategy, roadmap planning, solution design, and executive decision-making.
• Evaluate business challenges, formulate recommendations, and guide decision-making for clients.
• Convert business needs into feasible, scalable, and value-oriented technical solutions.
• Manage project scope, financials, milestones, risks, issues, dependencies, and ensure quality of delivery.
• Provide updates on status, risks, recommendations, and executive briefings.
• Review and validate client deliverables for quality and adherence to AHEAD standards.
• Engage in discovery, qualification of opportunities, solution development, proposals, and client presentations.
• Identify opportunities for expansion and assist in account growth.
• Establish trusted advisor relationships with business, technology, and executive stakeholders.
• Contribute to consulting methodologies, delivery frameworks, reusable assets, and best practices.
• Keep abreast of advancements in data, AI, cloud, governance, analytics, and emerging technologies.
• Mentor and coach team members.
• Support recruiting, interviewing, onboarding, knowledge sharing, and ongoing improvement initiatives.
• Take ownership of delivery outcomes, financial performance, and client satisfaction.
• 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.
• Competence in managing project scope, financials, delivery governance, stakeholder communications, and executive presentations.
• Strong skills in leadership, consulting, communication, facilitation, analysis, and relationship management.
• Proven track record of ownership, business insight, executive presence, and the ability to mentor and develop others.
• Preferred: Master's degree or MBA.
• Preferred: Professional certifications in cloud platforms, AI, data management, Agile methodologies, project management, or enterprise architecture.
• Preferred: Familiarity with technologies such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud Platform, or similar.
• Medical, Dental, and Vision Insurance.
• 401(k) plan.
• Paid company holidays.
• Paid time off.
• Paid parental and caregiver leave.
• Access to state-of-the-art technologies in a multi-million-dollar lab.
• Opportunities for cross-department training and development.
• Sponsored certifications and credentials for ongoing education.
• Option to opt-out of AI application/resume review.
• Ability to opt-out of interview recording and transcription without penalty.
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