Senior Data Intelligence Solutions Architect

Q2 India; Austin (TX); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health & Wellness

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring

Competitive health insurance

Paid parental leave

Job summary

Q2 India is seeking a Senior Data Intelligence Solutions Architect based in Austin, Texas. This role focuses on scalable data and AI-driven operational solutions to enhance visibility and decision-making across the Customer Experience ecosystem.

The ideal candidate will have over 12 years of experience in Data Architecture and a strong background in AI-enabled operations. The position offers hybrid work opportunities and a range of benefits including health insurance and flexible time off.

Qualifications

• 12+ years of related experience, or 8+ years with advanced degree.
• Proven experience designing enterprise data solutions and operational analytics platforms.
• Experience with AI-enabled solutions like automation frameworks.

Responsibilities

• Design scalable data architecture for various operational needs.
• Build and maintain enterprise data models and integrations.
• Produce technical roadmaps and strategic recommendations.

Skills

Data Architecture

Data Engineering

AI-enabled operations

Business Intelligence

Cross-functional collaboration

Analytical skills

Systems-thinking

Cloud-based data platforms

Education

Bachelor’s degree

Advanced degree

Tools

Power BI

Tableau

SQL

Python

Databricks

Azure

AWS

GCP

Job description

Job Summary

Senior Data Intelligence Solutions Architect to join the Employee & Experience Enablement (E3) organization. This role designs and enables scalable data, analytics, automation, and AI‑driven operational solutions that improve visibility, decision‑making, and operational efficiency across the Customer Experience ecosystem.

Key Responsibilities

• Design scalable data architecture for operational reporting, workforce planning, QA, escalation management, customer health, and executive visibility.
• Build and maintain enterprise data models, integrations, and pipelines across operational platforms, contact center systems, and analytics environments.
• Architect AI‑enabled solutions for workflow automation, trend detection, case intelligence, quality monitoring, and operational forecasting.
• Partner with Insights & Analytics to build dashboards, scorecards, and predictive models that support strategic decisions.
• Collaborate cross‑functionally to ensure system integration alignment and operational readiness.
• Drive visibility into SLA adherence, customer health, workforce demand, escalation trends, and support performance.
• Identify and implement AI and automation opportunities to reduce manual overhead and improve scalability.
• Establish data governance standards, data quality practices, and reporting consistency across business functions.
• Provide architectural leadership on AI‑enabled customer experience and operational transformation initiatives.
• Produce technical roadmaps, architectural documentation, and strategic recommendations for leadership.

Required Qualifications

• Bachelor’s degree and 12+ years of related experience, or advanced degree with 8+ years, or equivalent.
• Experience in Data Architecture, Data Engineering, Solution Architecture, AI‑enabled operations, or Business Intelligence.
• Proven experience designing enterprise data solutions, operational analytics platforms, and scalable reporting architectures.
• Experience developing AI‑enabled solutions, automation frameworks, or predictive analytics platforms.
• Solid understanding of enterprise system integrations, APIs, workflow automation, and operational tooling.
• Experience with cloud‑based data platforms and enterprise analytics and reporting tools.
• Hands‑on experience with Power BI, Tableau, Snowflake, SQL, Python, Databricks, Azure, AWS, GCP, or equivalent.
• Experience integrating data across CRM, contact center, support, incident management, and workforce management platforms.
• Strong analytical and systems‑thinking skills.
• Track record of cross‑functional collaboration across Support, Product, Engineering, Delivery, and executive leadership.
• Ability to translate technical concepts into business outcomes for both technical and non‑technical audiences.
• Comfortable managing multiple priorities in a fast‑paced, cross‑functional environment.

Preferred Qualifications

• Experience in enterprise SaaS, FinTech, or Customer Experience organizations.
• Experience designing AI‑enabled operational intelligence or customer experience analytics platforms.
• Knowledge of contact center analytics, conversational AI, sentiment analysis, or quality monitoring systems.
• Background in operational transformation, workforce optimization, incident management, or customer health programs.
• Experience with ML models, predictive analytics, workflow orchestration, or AI‑assisted decision frameworks.

Other Requirements

Fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Benefits

Health & Wellness, Hybrid Work Opportunities, Flexible Time Off, Career Development & Mentoring Programs, Competitive health insurance, and paid parental leave for eligible new parents.

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other protected status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements.