National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sustainability Leader - Data Analytics

Tredence Inc.
London
7 months ago
Applications closed

Related Jobs

View all jobs

IT Manager (Manufacturing)

Bioinformatician (Plant Genomics)

Insight Analyst

Data Scientist

Data Scientist

Data Scientist - Grid Innovation Model Development (Energy Sector Experience Required)

About Tredence

Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.


Job Summary:


We are seeking an experienced and visionary Sustainability Leader in the Data & Analytics space with 15+ years of experience. The ideal candidate will have a deep understanding of sustainability principles, data-driven decision-making, and a proven track record of leading cross-functional teams. This role will be instrumental in shaping our sustainability strategy by leveraging data analytics to drive sustainable business practices, own sustainability revenue growth and client acquisition.

Key Responsibilities:

  1. Strategic Leadership:
  • Lead the development and execution of sustainability offerings in accordance with market trends across the industries Tredence operates in.
  • Collaborate with sales leadership to create target accounts and lead sales calls with clients.
  • Develop SoWs and staff projects in collaboration with delivery organization to drive revenue growth for sustainability.
  1. People Development:
  • Lead Trainings and mentor people interested in Sustainability to improve their knowledge and hands-on skills.
  • Hire people as required by the business to grow sustainability practice and offerings.
  • Promote diversity, equity, and inclusion within the team and across the organization.
  1. Cross-Functional Collaboration:
  • Partner with various verticals (Retail, CPG, HLS, TMT etc.) and practices (DE, DS, Gen AI etc.) to embed sustainability into their business offerings.
  • Work closely with IT and Studio team to ensure the availability and scalability of sustainability data platforms.
  • Engage with external stakeholders, including customers, investors, and analysts, to communicate sustainability initiatives and performance.
  1. Innovation & Continuous Improvement:
  • Drive innovation in sustainability using emerging technologies, such as IoT, blockchain, and big data.
  • Lead initiatives to improve resource efficiency, reduce carbon footprint, and promote circular economy practices.
  • Identify opportunities for continuous improvement in sustainability practices through data-driven insights.

Qualifications:

  • Experience: 15+ years of experience in data & analytics, with a strong focus on sustainability.
  • Technical Skills:
  • Proficiency in data analytics tools (e.g., Python, R, Tableau, Power BI).
  • Experience with sustainability frameworks and standards (e.g., GRI, SASB, TCFD).
  • Knowledge of AI, machine learning, and big data technologies.
  • Leadership Skills:Proven ability to lead cross-functional teams and manage complex projects.
  • Strategic Thinking:Strong ability to link sustainability goals with business strategy.
  • Communication Skills:Excellent verbal and written communication skills, with the ability to influence and engage stakeholders at all levels.

Key Competencies:

  • Strategic Vision & Leadership
  • Sales Leadership
  • Data-Driven Decision Making
  • Sustainability & ESG Expertise
  • Innovation & Change Management
  • Stakeholder Engagement
  • Collaboration & Teamwork


Why join Tredence?

There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits; a fun, collaborative team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.