
Director of AI and Analytics
Austin, TX · HybridContract$90–120/hrSeen 1 day agoSeen in employer's feed 1 day ago
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At a glance
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Job overview
The Director of AI and Analytics is a strategic and technical leader who drives development and implementation of AI, data, and analytics solutions. The role bridges business priorities with technical execution, oversees a multidisciplinary team and AI project portfolio, and supports deployment of AI-driven predictive analytics. It is based in Austin and follows a hybrid model, with on-site work at least two days per week.
Skills & qualifications
Skills
Qualifications
Full job description
Overview
Job Title: Director of AI and Analytics
Location: Auston, TX - Hybrid
Job Type: Independent Contract
Start Date: ASAP
Pay Rate: $90-120/hr
Job Summary
The Director of AI & Analytics is a strategic and technical leader who will drive the development and implementation of AI, data, and analytics solutions to deliver measurable business impact. Acting as a "player-coach," this role bridges business priorities with technical execution, ensuring the successful deployment of AI-driven, predictive analytics capabilities. The Director will oversee a multidisciplinary team, manage AI project portfolios, and inspire innovation while fostering a collaborative, high-performing culture.
This position is based in Austin, Texas, and requires working on-site two days per week as part of a hybrid work model.
Responsibilities
Key Responsibilities
AI and Analytics Leadership
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Oversee the end-to-end development and operationalization of AI and analytics solutions, transforming insights into actionable outcomes.
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Define and implement technical standards for AI/ML delivery, ensuring scalability and production resilience.
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Lead teams across artificial intelligence, machine learning, data science, and business analytics, fostering a results-driven and innovative work culture.
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Prioritize AI initiatives based on business value and ROI, driving their alignment with organizational goals.
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Establish robust MLOps practices, ensuring sustained model performance and monitoring in production environments.
Strategic Leadership and Partnerships
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Act as a strategic advisor by translating business needs into actionable AI and data strategies.
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Collaborate with leadership and business units to identify high-impact opportunities and define innovative AI roadmaps.
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Build and manage effective partnerships across technical and business teams to achieve organizational priorities.
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Engage in long-term strategic planning, aligning AI objectives with enterprise goals and fostering cross-departmental collaboration.
Team Development and Engagement
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Lead and cultivate a high-performing, diverse team, promoting skill development, mentorship, and talent growth.
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Foster a culture of collaboration, accountability, and continuous improvement.
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Act as a role model with transparent communication and a commitment to team empowerment.
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Support team members in achieving their professional goals while driving individual and organizational success.
Operational and Fiscal Management
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Develop and manage AI and analytics budgets, ensuring alignment with strategic priorities.
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Monitor and optimize resource allocation, emphasizing cost-effectiveness and operational efficiency.
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Oversee compliance with organizational policies, regulatory requirements, and industry best practices.
Qualifications
Required Skills and Experience
Leadership & Collaboration
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Proven ability to build, inspire, and lead high-performing, diverse teams.
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Exceptional interpersonal, communication, and stakeholder management skills.
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Proactive and results-oriented, with the ability to deliver high-impact outcomes.
Analytics and Technical Expertise
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Extensive experience in leading data science, machine learning, and analytics projects.
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Proficiency in modern analytics platforms, with expertise in Databricks, Python, SQL, and related data management and visualization tools.
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In-depth knowledge of the AI/ML lifecycle, including MLOps, model development, deployment, and monitoring.
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Strong skills in translating business objectives into actionable, data-driven solutions.
Preferred Qualifications
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Master’s degree in Data Science, Computer Science, or related discipline.
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Certifications in relevant AI/ML platforms (e.g., Databricks, cloud architecture).
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Experience leading advanced analytics and AI programs in a corporate or technical environment.
Work Environment & Additional Information
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Hybrid work model: On-site work in Austin, Texas, at least two days per week, with additional days as required by business needs.
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Ability to adapt to occasional schedule adjustments, overtime, or high-pressure situations.
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Frequent use of computers, virtual communications, and technology platforms.
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Software Powered by ICIMS (https://icims.help/candidate-faq)
Location US-TX-Austin
ID 2026-4767
Category Information Technology
Position Type Independent Contractor
Remote No
Clearance Required None
Pay Range USD $90.00 - USD $120.00 /Hr.
How this job compares
Set against the 2,257 open Analytics jobs on Olive Jobs, counted November 2, 2026.
- Pay
- This posting$90–120/hr
- US median$24–57/hr115 hourly ranges
This range's midpoint, $105/hr, is 160% above the US median midpoint ($40/hr) — in the top quarter of Analytics hourly ranges across the US.
- Openings
- Olive Jobs lists 138 open Analytics jobs in Texas and 2,257 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- Accenture8 open
- Amazon6 open
- FleishmanHillard6 open
- Experience
- Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (1,811 postings).
- Education
- 1,125 of the 2,257 open Analytics jobs (50%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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