Associate Data & Analytics Product Manager

Jobtailor; Trumbull (CT); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor seeks a data and analytics product lead to drive scalable analytics initiatives for Customer Operations. You will connect business strategy with data, embedding new ways of working and delivering measurable impact.

The role requires 3+ years in supply chain analytics, proficiency in SQL/Python/PySpark/Scala, and experience with BI tools and cloud platforms. You will guide governance and foster a data-driven culture.

Qualifications

• Bachelor’s degree in data engineering, analytics, or related field.
• 3+ years in supply chain with analytics and digital technology experience.
• Proficient in SQL, Python, PySpark, and Scala.
• Experience with Power BI/Tableau and enterprise data ecosystems.
• Familiarity with SAP is preferred.

Responsibilities

• Drive design, development, and deployment of scalable data and analytics products.
• Align data initiatives with customer operations and transformation goals.
• Partner with stakeholders to translate needs into analytics products.
• Establish governance and best practices for scalable product development.
• Lead AI-enabled transformation initiatives to advance operations.
• Enhance data-driven decision making and operational visibility.
• Foster a data-driven culture and continuous learning.

Skills

Data analytics

Supply chain analytics

AI-enabled platforms

Technology

Education

Bachelor’s degree in data engineering, Supply Chain, Analytics, or related field

Tools

SQL

Python

PySpark

Scala

Power BI

Tableau

Azure

Google Cloud

SAP

Job description

Responsibilities

• Drive the design, development, and deployment of scalable data and analytics products that enable business transformation across Customer Operations.
• Connect business strategy with data and technology, embedding new ways of working, accelerating adoption, and delivering measurable impact through innovative analytics solutions.
• Define and drive the Data & Analytics capability strategy aligned to Customer Operations priorities, digital transformation goals, and enterprise data strategy.
• Partner with business stakeholders, product teams, and engineering teams to translate business needs into deployable, high‑value analytics products.
• Establish standards, governance, and best practices to ensure sustainable product development, quality, scalability, and adoption.
• Lead data, analytics, and AI‑enabled transformation initiatives that advance Customer Operations toward a tech‑forward operating model.
• Strengthen end‑to‑end business visibility and customer‑centric decision‑making through scalable digital and analytics capabilities.
• Build internal capability and foster a data‑driven culture by championing modern analytics practices, innovation, and continuous learning.

Requirements

• Bachelor’s degree in data engineering, Supply Chain, Analytics, or related field
• 3+ years of experience in supply chain with a clear competence in analytics, digital technology (e.g., advanced analytics, AI‑enabled platforms), and technology.
• Proficiency with programming languages (e.g., SQL, Python, PySpark, Scala)
• Experience with visualization platforms (e.g., Power BI, Tableau) and enterprise data ecosystems (e.g., Azure, Google Cloud)
• Familiarity with enterprise systems (e.g., SAP) is preferred

Core Competencies

Demonstrates expertise in driving data and analytics product development aligned with business transformation goals, leveraging advanced analytics and AI technologies. Proven ability to establish governance and best practices while fostering a data‑driven culture within Customer Operations.