Director, CX Advanced Analytics – AI Technical Suite Lead

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Establish and steer the technical direction for the Customer Experience Predictive Algorithms, Performance Optimization, and Analytics and Insights teams.

• Collaborate with CX Suite Leads to develop value-centric technical roadmaps.

• Oversee budget and resource distribution across various capabilities and teams.

• Convert product roadmaps into scalable technology architectures and actionable development plans.

• Evaluate the impact and value of AI solutions, design solution architectures, and create prototypes and pilots when necessary.

• Ensure that technical planning aligns with consistent KPI frameworks, governed measurement, and analytics ready for decision-making.

• Lead the development of consolidated insights, enterprise reporting, digital analytics, in-house marketing mix, and predictive analytics products.

• Ensure adherence to development best practices and responsible, ethical AI standards.

• Collaborate on workforce planning, capability enhancement, and evolution of operating models.

• Manage vendor partnerships and guarantee quality delivery in line with objectives.

• Serve as the primary technical accountability point for Customer Analytics & Insights and Performance Analytics & Optimization suites.

• Coordinate roadmap dependencies, integrations, and architectural decisions with technical and platform teams.

• Collaborate with Suite Leads and business teams to shape product experiences and convert user needs into scalable solutions.

• Represent technical architecture, platforms, and delivery considerations in domain, cross-suite, and executive discussions.

• Align shared data infrastructure, integration standards, and AI/ML enablement across various teams.

• Lead the resolution of technical issues across teams that affect performance or adoption.

• Develop people managers and promote collaboration, inclusion, belonging, and high performance.

⛳️ Requirements

• A Bachelor’s degree in computer science, engineering, information systems, or a related technical field is preferred.

• A minimum of 10 years of experience post-Bachelor’s degree, or 8 years post-Master’s degree, in data engineering, technical data/analytics architecture, or management of enterprise platform delivery.

• At least 5 years of experience with programming languages such as Python and R for advanced analytics and AI, along with cloud data platforms like Redshift and Snowflake.

• A minimum of 5 years in a role such as Tech Lead, Technical Program Manager, Engineering Manager, or comparable position overseeing a team of developers.

• Proven experience in delivering enterprise-scale analytics, reporting, or modeling platforms like Power BI, in-house Marketing Mix Solutions, and Predictive Analytics Products.

• Practical experience with Python and R for analytics and data engineering.

• Familiarity with Redshift and Snowflake for data sourcing, transformation, and integration.

• Experience in guiding technical architecture within complex, matrixed organizations.

• Understanding of Agile methodologies and Product Operating Model principles.

• Demonstrated ability to lead and mentor development teams and technical leaders.

• Extensive experience in developing predictive models, including design, explainability, deployment, monitoring, drift detection, retraining, and retirement.

• Strong background in leading Analytics, Advanced Analytics, and AI development teams.

• Experience in evaluating AI solutions, designing MVPs/pilots, A/B testing, and determining success metrics.

• Knowledge of software architecture, cloud platforms, and contemporary engineering frameworks.

• Experience in designing scalable, secure, and compliant analytics and AI solutions.

• Familiarity with enterprise digital platforms, business intelligence, analytics platforms, marketing mix solutions, and predictive analytics products.

• Experience in designing and governing enterprise analytics data models, including star schemas, semantic models, DAX/Power BI, KPI definitions, and reusable datasets.

• Proven experience delivering enterprise reporting solutions using development standards, CI/CD practices, quality gates, data contracts, refresh SLAs, lineage, and metric consistency.

• Strong understanding of system integration patterns, APIs, and data architecture.

• Experience working within Agile product development teams and product operating models.

• Awareness of security, compliance, and regulatory requirements.

• Capabilities in technical program management and vendor relationship management.

• Proven experience in leading and developing high-performing teams, including resource planning, performance management, and talent development.

• Willingness to travel 10-20% as required.

🏝️ Benefits

• Discretionary annual cash bonus or incentive compensation.

• Discretionary equity grants.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401k retirement savings plan.

• Flexible paid vacation.

• Willingness to travel 10-20% as required.