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Sustainability Specialist Data Management Solutions Lead

Bloomberg

Sustainability Specialist Data Management Solutions Lead

Bloomberg

·

On-site

·

Full-time

·

1mo ago

Required skills

Python

SQL

Jira

Sustainability Specialist, Data Management & Solutions Lead
Bloomberg's Global Sustainability Office (GSO) is responsible for the development and execution of Bloomberg's enterprise-wide sustainability strategy, program implementation, and external reporting.

The GSO collaborates across the business to set comprehensive ESG-related objectives, targets and action plans that drive the business towards its global sustainability commitments.

We are looking for a Data Management & Solutions Lead to lead the strategy and delivery of sustainability data workflows and internal tools to support our enterprise-wide sustainability efforts.

In this role, you will own corporate sustainability data assets end to end, from data taxonomy development and ingestion to internal tools and analytics.

You will work closely with Sustainability stakeholders and Data Engineering teams to ensure Bloomberg's corporate sustainability data is trusted, scalable, and fit for both operational and analytical use.

  • What You’ll Do
  • Own the product vision and roadmap for sustainability data workflows and internal tools Define and maintain sustainability data taxonomies, metrics, and metadata Lead requirements development for internal data upload tools and third party data ingestion pipelines
  • Design data workflows that support audit-ready sustainability reporting
  • Translate evolving sustainability regulations and standards into scalable data requirements
  • Drive integration of sustainability data from internal systems and third-party providers into our central data lake
  • Enable high quality analytics, dashboards, and reporting on sustainability data Partner cross functionally to prioritize work, define requirements, and deliver value
  • You’ll Need to have
  • 5+ years of experience in data product management, data ownership, data engineering focused roles Hands on experience translating business requirements into scalable data solutions, with production-level programming expertise in Python, SQL, or comparable languages.
  • Product mindset thinking and prioritization Strong understanding of data modeling, ingestion, validation, and analytics workflows

Experience: owning internal data platforms, tooling, and data mapping Excellent communication and stakeholder management skills

Experience: with Agile scrum and product requirements development.

Hands on experience with agile tools (JIRA, Confluence) and BI dashboards (Qlik Sense, Power BI).

We'd love to see

Experience: with sustainability, ESG, or climate-related data reporting Familiarity with frameworks such as GHG Protocol, CSRD, ISSB, TCFD, or SBTi

Experience: working with enterprise data lakes and BI platform

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About Bloomberg

Bloomberg

Bloomberg

Public

Bloomberg L.P. is an American privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was co-founded by Michael Bloomberg in 1981, with Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch.

10,001+

Employees

Midtown Manhattan

Headquarters

Reviews

4.0

15 reviews

Work-life balance

4.2

Compensation

4.5

Culture

3.2

Career

3.0

Management

2.8

65%

Recommend to a friend

Pros

High compensation and competitive total compensation

Good work-life balance

Company stability and job security

Cons

Slow career progression and promotion speed

Management issues and micromanagement

Limited remote work flexibility

Salary Ranges

2,043 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Junior/L3 · Data Reporter

2 reports

$73,100

total per year

Base

$81,557

Stock

-

Bonus

-

$73,100

$73,100

Interview experience

3 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Virtual Onsite/Superday

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience