Job Description

Vacancy Type

Permanent/Full Time

Location

Ideally Midlands-based with access to Reconomy offices in Stratford and Telford.

Salary

Competitive Salary + Benefits

Company Profile

Company Overview

Reconomy is the UK's leading provider of outsourced waste management and resource-led environmental services. We're building a unified data platform to transform our approach to data management across the Reconomy Group. With divisions currently operating in silos, we're seeking a central, group-level resource to lead our data initiatives and drive integration of business systems across the enterprise.

Job Summary

Role Summary

We are looking for a Senior Data Product Manager to own and develop our data strategy across all of Reconomy, including supporting development of our data products, leading systems integration initiatives, and establishing data as a strategic asset within our organization. This standalone role reports into the Group Engineering Director and will be pivotal in transforming raw data into value-add actionable business intelligence through our modern Azure-based data platform. The successful candidate will own and drive Reconomy's data strategy across all divisions, and support associated AI / ML enablement functions, working closely with stakeholders across the business to deliver high-value data solutions that support our environmental service operations.

Key Responsibilities

Data Product Ownership

: Treating data as a product, defining the group's target data strategy and driving the roadmap to achieve that target state for Reconomy's data platform and related products across all divisions

Defining The Data Landscape

: Aligned to the definition of the Reconomy data strategy, define a landscape of master and system of record products and applications to ensure the right workload is being used for the right use case, holding the right class and types of data

Data Integration Leadership

: Spearhead the integration of various business systems (ERP, CRM, HR, etc.) across the Reconomy Group, moving away from ad-hoc connections to a cohesive platform conforming to agreed and published API and data integration standards

Data Transformation

: Oversee the transformation of raw data across our business lines (product returns, waste management, environmental services, product characteristics, sustainability, etc.) into structured and curated data layers to enable effective business intelligence

Business Analysis

: Conduct thorough data business analysis to identify use cases and requirements across Reconomy's divisions

System Landscape Assessment

: Evaluate current Reconomy systems and identify the single source of truth for key data domains

Dashboard & Reporting

: Lead the development of customer-facing dashboards and reports that deliver actionable insights for waste management compliance

Governance Implementation

: Establish and maintain robust data governance practices across the platform, ensuring compliance with data security and legislative requirements

Product Strategy:

A key member of the group-wide Product Chapter you will contribute to the central product strategy for Reconomy, aligning all product development with the Data Strategy.

AI Strategy

: Support the development of AI and ML solutions in the divisional businesses by ensuring that the Data Strategy underpins and enables the group AI Strategy

AI Enablement

: Lead and support initiatives for business AI enablement via data products, including ML models, inbox management AI, and chatbot implementations to enhance Reconomy's service offerings working closely with our in-business and tech stakeholders

Qualifications

Proven experience in data product management preferably with a data engineering background Experience of defining a data strategy in other businesses, delivering demonstrable successful outcomes Strong working knowledge of Azure and Databricks platforms; equivalent experience with similar platforms on AWS would be considered Proven practical experience of implementing modern Data as a Product (DaaP) and Data Mesh concepts in data product management activities Demonstrated ability to translate complex data concepts into business value within operational environments Experience in data integration and system architecture, particularly in compliance-focused industries Understanding of data governance principles and practices within regulated environments Knowledge of AI/ML implementation in business contexts, preferably in waste management or environmental services Experience working with compliance data and reporting systems Excellent stakeholder management and communication skills Ability to work independently while collaborating across Reconomy's organizational boundaries

Vacancy Type

Internal and External

Entity

Reconomy