Associate Director, Data Platform & Analytics - Bangalore

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4 Locations
In-Office or Remote
Logistics • Sales
The Role

E2open is the connected supply chain platform that enables the world’s largest companies to transform the way they make, move, and sell goods and services. We connect more than 400,000 partners as one multi-enterprise network. Powered by the network, data, and applications, our SaaS platform anticipates disruptions and opportunities to help companies improve efficiency, reduce waste, and operate sustainably. Our employees around the world are focused on delivering enduring value for our clients.

Product Management, Associate Director (Analytics)

POSITION OVERVIEW

Associate Director, Product Management (Data Platform & Analytics) is a critical position in the Product Management organization. Associate Director, Product Management provides strategic direction to the product or product portfolio while still being responsible for the day-to-day operations of the Analytics product team and product. The Associate Director, Product Management, must be equally comfortable with the outbound as well as inbound aspects of product management.

RESPONSIBILITES:

  • 7+ years of Product Management experience, with 3+ years in data and analytics platform
  • Strong understanding of data platform and analytics technology
  • Experience in creation and execution of analytics platform strategy. Should have evaluated and selected the most suitable analytics technology for the organization, catering to diverse user needs.
  • Author and evangelize a forward-looking Analytics Strategy, ensuring alignment with customer and business objectives.
  • Promote analytics as a core value proposition by delivering actionable insights and intuitive user experiences.
  • Lead contract negotiations and maintain productive relationships with analytics tool providers.
  • Oversee the migration and decommissioning of legacy analytics tools to ensure a seamless transition to the new platform.
  • Introduce advanced AI/ML capabilities, including decision trees, XGBoost, and Random Forest models, for app team adoption.
  • Utilize platforms such as SageMaker, TensorFlow, Vertex AI, and Bedrock to deliver cutting-edge analytics features.
  • Align the analytics tool's data model with the data dictionary and data platform strategy.
  • Define and promote standards for data-driven decision-making across the product team.

QUALIFICATIONS AND EXPERIENCE:

  • Undergraduate degree in engineering or business administration. Post-graduate degree is a plus.
  • > 10 years of related experience in a software company delivering supply chain or other enterprise solutions with at least 3 years in a leadership role focused on analytics, data, or AI/ML within SaaS or supply chain domains.
  • Proven expertise in analytics tools (PowerBI, Tableau, Qlik, SuperSet, etc.), AI/ML technologies, and data modeling.
  • Strong vendor management and negotiation skills.
  • Experience with platforms like SageMaker, TensorFlow, Vertex AI, or similar.
  • Must understand the supply chain business processes of focus areas relevant for e2open. Including discrete &/or consumer product manufacturing companies that have a focus on Industrial, HT and auto industries (Discrete) and Consumer Products, Retail and Food & Beverage industries (Consumer).
  • Experience in one or more of these enterprise applications is preferred: SAP, Oracle, Blue Yonder (i2), o9, Kinaxis, Manhattan, Descartes, Thomas Reuters, Model N, 360Insights, OpenText.

https://e2open.sharefile.com/public/share/web-s86ad3f51643b4941803bce8230e72903


                                                                                                                

E2open is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

E2open participates in the E-verify program in certain locations, as required by law.

E2open does not accept unsolicited referrals or resumes from any source other than directly from candidates or preferred vendors. We will not consider unsolicited referrals.

E2open Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about E2open and has not been reviewed or approved by E2open.

  • Leave & Time Off Breadth Feedback suggests employees have access to unlimited or self‑managed PTO with generous paid holidays. Time‑off flexibility is viewed as a meaningful offset for concerns about base pay for some roles.
  • Healthcare Strength Health, dental, and vision coverage are described as solid and part of a comprehensive core package. This breadth in medical benefits is presented as a steady component of total rewards.
  • Career-Linked Recognition & Rewards In sales, on‑target earnings are characterized as competitive in certain bands, offering upside for strong performers. This indicates that high performance in revenue roles can translate into materially better total compensation.

E2open Insights

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The Company
HQ: Austin, TX
31,304 Employees

What We Do

At E2open, we’re creating a more connected, intelligent supply chain. It starts with sensing and responding to real-time demand, supply and delivery constraints. Bringing together data from customers, distribution channels, suppliers, contract manufacturers and logistics partners, our collaborative and agile supply chain platform enables companies to use data in real-time, with artificial intelligence and machine learning to drive smarter decisions. All this complex information is delivered in a single view that encompasses your demand, supply and logistics ecosystems. E2open is changing everything. Demand. Supply. Delivered.

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