Senior Manager, Data Science and AI Platform Enablement

About the role

We are seeking a Senior Manager of Data Science and AI Platform Enablement to lead platform and AI standards, customer domain translation, governance, and data domain enablement. This role requires a strong engineering mindset, experience in production-grade analytics/ML systems, and the ability to influence across matrixed organizations without direct ownership.

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.

Requirements

• Bachelor’s degree in engineering, Statistics, Data Science, or Computer Science; Master’s degree in Analytics or Data Science preferred.
• 8+ years of experience in data science, advanced analytics, applied machine learning, or related fields; retail or B2C experience 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, and 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.
• Ability to partner 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.