Senior Manager, Data Science and AI Platform Enablement

INSPYR Solutions; Katy (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

INSPYR Solutions in Katy, TX seeks a Sr Manager Data Science and AI Platform Enablement to lead the development of scalable analytics and ML capabilities. You will partner with CIO Data Engineering and Platform teams to drive data patterns, governance, and production-ready solutions.

The role requires 8+ years in data science and 4+ years of leadership, with strong experience in B2C analytics, personalization, and experimentation. Direct hire, US work authorization required.

Qualifications

• 8+ years in data science, analytics, ML, or related fields; retail/B2C preferred.
• 4+ years leading teams or major technical initiatives.
• 3+ years in B2C, retail, e-commerce, or customer analytics domains.
• 3+ years building production-grade analytics or ML solutions.

Responsibilities

• Define reusable data, feature, modeling patterns and MLOps standards.
• Partner with CIO Data Engineering and Platform teams to influence canonical customer data models, shared datasets, feature reuse, and data access/consumption standards.
• Translate customer, marketing, and omnichannel needs into scalable technical and platform-aligned patterns.
• Enable domain-aligned data scientists, analysts, and engineers to adopt standards, reduce reinvention, and accelerate delivery.
• Influence enterprise priorities through evidence, design proposals, and proof-of-value work.
• Lead Adobe Analytics and Quantum Metrics data capture, acting as a catalyst for effective use across analytics, personalization, and experimentation.
• Serve as the data domain owner for all customer-facing data domains, including tag management, Bridg, and clean room capabilities, accountable for data definitions, quality, access, and downstream usability.
• Partner with IT pods, platform, and engineering teams to define and govern customer data flows securely and at scale through well-documented integrations.
• Systems thinker with a pragmatic bias toward delivery.
• Trusted by both business and technical stakeholders.
• Comfortable letting teams execute independently while influencing across a matrixed organization.
• Optimizes for scale and reuse, not personal ownership.

Skills

Data science leadership

MLOps

Analytics platforms

Adobe Analytics

Cross-functional influence

Platform governance

Experimentation data

Education

Bachelor's in engineering, statistics, data science, or CS

Master's in Analytics or data science (preferred)

Tools

Adobe Analytics

Quantum Metrics

Tag management

Data governance tools

Job description

Role: Sr Manager Data Science and AI Platform Enablement

Location: Katy, TX 77449

Duration: Direct Hire

Work Authorization: US Citizen or Green Card Holder

Education

• Bachelor's in engineering, Statistics, Data Science, or Computer Sciences
• Master's degree in Analytics or data science (preferred)

Work Experiences

• 8+ years of experience in data science, advanced analytics, applied machine learning, or related fields. Experience in retail or B2C is preferred
• 4+ years of experience leading teams or major technical initiatives, including people management or matrixed leadership
• 3+ years of experience in B2C, retail, e-commerce, marketing analytics, or customer-facing analytics domains
• 3+ years of experience building, deploying, or enabling production-grade analytics or ML solutions

Skills

• Strong engineering mindset with experience in: Modular code, Reproducibility & Production-grade analytics or ML systems
• Experience working with digital analytics, customer data platforms, or experimentation data (e.g., Adobe, web/app analytics, or similar ecosystems)
• Proven ability to influence across matrixed organizations without direct ownership
• Experience partnering with data engineering, platform, and governance teams
• Ability to balance speed to value with long-term scalability
• Experience enabling MLOps or analytics platforms, preferred
• Exposure to customer analytics, personalization, marketing, or e-commerce use cases, preferred
• Experience operating in early-to-mid maturity data organizations, preferred
• Comfort shaping standards without formal authority, preferred

Responsibilities

Platform & AI Standards Enablement

• Define and evolve reusable data, feature, and modeling patterns, MLOps and model lifecycle standards, and production-ready analytics/ML solutions.
• Partner with CIO Data Engineering and Platform teams to influence canonical customer data models, shared datasets, feature reuse, and data access/consumption standards.

Customer Domain Translation & Enablement

• Translate customer, marketing, and omnichannel needs into scalable technical and platform-aligned patterns.
• Enable domain-aligned data scientists, analysts, and engineers to adopt standards, reduce reinvention, and accelerate delivery.
• Influence enterprise priorities through evidence, design proposals, and proof-of-value work.

Governance, Quality & Responsible AI

• Represent customer-domain data needs in governance forums.
• Help evolve governance standards that are practical for personalization, experimentation, and customer analytics.
• Ensure quality, fairness, trust, and compliance are embedded by design.

Customer Data Domain Enablement

• Lead Adobe Analytics and Quantum Metrics data capture, acting as a catalyst for effective use across analytics, personalization, and experimentation.
• Serve as the data domain owner for all customer-facing data domains, including tag management, Bridg, and clean room capabilities, accountable for data definitions, quality, access, and downstream usability.
• Partner with IT pods, platform, and engineering teams to define and govern customer data flows securely and at scale through well-documented integrations.

Leadership Attributes

• Systems thinker with a pragmatic bias toward delivery.
• Trusted by both business and technical stakeholders.
• Comfortable letting teams execute independently while influencing across a matrixed organization.
• Optimizes for scale and reuse, not personal ownership.

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities.

Applicants requiring reasonable accommodation during the application or interview process should contact [e-mail] for assistance.

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