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Data Science and Analytics Manager

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Build trusted senior stakeholder relationships and maintain a transparent, value-led process for demand, prioritisation, delivery updates, risks and dependencies.

  • Ensure models are accurate, explainable, reproducible, documented, monitored and maintained through effective peer review, validation, controls and performance measures.

  • Lead, coach and develop the team through clear objectives, feedback, mentoring and inclusive workforce planning, demonstrating BGE’s values.

From the employer’s posting
Shape and articulate BGE’s data science and analytics strategy with the Head of the Data CoE, linking priorities to measurable business outcomes. Build trusted senior stakeholder relationships and maintain a transparent, value-led process for demand, prioritisation, delivery updates, risks and dependencies. Lead the design, testing, productionisation and lifecycle management of automated analytical products, including customer value, propensity, churn, segmentation, forecasting, contact analytics and operational optimisation.
Develop reusable, governed datasets and scalable cloud-based analytics with data engineering, platform, reporting and governance colleagues, maximising reuse and reducing duplication. Ensure models are accurate, explainable, reproducible, documented, monitored and maintained through effective peer review, validation, controls and performance measures. Maintain strong knowledge of BGE’s Customer Operations, Services and EMD businesses, focusing analytical effort on the highest-value opportunities and ensuring clear hand-offs into implementation and value realisation.
Retire manual, duplicated or low-value processes where controlled automation is available. Lead, coach and develop the team through clear objectives, feedback, mentoring and inclusive workforce planning, demonstrating BGE’s values. The Ideal Candidate:
Apply at Centrica

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 54.

At Centrica, jobs usually come down by about day 20.

From 8,178 similar postings that came down, and 6 of Centrica’s. Coming down is not always a hire.

Centrica is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Oracle
  • Power BI
Where the posting names them
- Proven ability to balance urgent business needs with scalable, automated and well-governed capability, supported by resilient delivery, quality assurance and stakeholder engagement. - Strong practical experience with Databricks or similar cloud analytics platforms, Python, SQL, large-scale Azure or Oracle data environments, Power BI and the Microsoft Power Platform. - Experience across the machine-learning lifecycle, including version control, testing, deployment, monitoring and documentation; generative AI, natural language processing or contact analytics experience is advantageous.
- Experience across the machine-learning lifecycle, including version control, testing, deployment, monitoring and documentation; generative AI, natural language processing or contact analytics experience is advantageous. - Knowledge of billing, CRM, digital, customer-contact and operational data; Oracle CC&B and Salesforce experience is particularly relevant. - Ability to work across KPI Reporting, Data Engineering, Data Governance, platform teams and the business to deliver end-to-end solutions.

Your next step

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,207, and the latest week had 838.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Join us, be part of more.  

 

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.  
  

About your team:  

 

We’re the pride of Ireland. Bord Gáis Energy have been powering the nation’s homes and businesses for almost 40 years. But now, we’re so much more than just gas and electric. Through our unique combination of household heroes and energy assets, we’re at the heart of the energy transition in Ireland, strengthening the country’s energy security and helping customers get ready for a net zero future.

🚀 Data Science and Analytics Manager

📍 Location: Hybrid, 2 days per week at our office in Warrington Place

🕒 Permanent   

Bord Gáis Energy (BGE) is transforming how data is governed and used to support customer, commercial and operational decisions. Reporting to the Head of the Data Centre of Excellence (Data CoE), the Data Science & Analytics Manager will lead data scientists, analytics specialists and developing talent. The role is accountable for delivering and sustaining diagnostic, predictive and prescriptive analytics across BGE, translating business priorities into high-quality models, analytical products and actionable insight.


Key Responsibilities:

  • Shape and articulate BGE’s data science and analytics strategy with the Head of the Data CoE, linking priorities to measurable business outcomes.
  • Build trusted senior stakeholder relationships and maintain a transparent, value-led process for demand, prioritisation, delivery updates, risks and dependencies.
  • Lead the design, testing, productionisation and lifecycle management of automated analytical products, including customer value, propensity, churn, segmentation, forecasting, contact analytics and operational optimisation.
  • Develop reusable, governed datasets and scalable cloud-based analytics with data engineering, platform, reporting and governance colleagues, maximising reuse and reducing duplication.
  • Ensure models are accurate, explainable, reproducible, documented, monitored and maintained through effective peer review, validation, controls and performance measures.
  • Maintain strong knowledge of BGE’s Customer Operations, Services and EMD businesses, focusing analytical effort on the highest-value opportunities and ensuring clear hand-offs into implementation and value realisation.
  • Anticipate emerging needs, lead complex analysis and provide stakeholders with clear findings, limitations and recommended actions.
  • Promote responsible use of data, machine learning and generative AI in line with governance, privacy, security, ethical AI and model-risk requirements.
  • Retire manual, duplicated or low-value processes where controlled automation is available.
  • Lead, coach and develop the team through clear objectives, feedback, mentoring and inclusive workforce planning, demonstrating BGE’s values.

 

The Ideal Candidate:

  • Extensive experience in senior data science, advanced analytics or a related role, including people leadership or significant analytical delivery.
  • Proven ability to balance urgent business needs with scalable, automated and well-governed capability, supported by resilient delivery, quality assurance and stakeholder engagement.
  • Strong practical experience with Databricks or similar cloud analytics platforms, Python, SQL, large-scale Azure or Oracle data environments, Power BI and the Microsoft Power Platform.
  • Experience across the machine-learning lifecycle, including version control, testing, deployment, monitoring and documentation; generative AI, natural language processing or contact analytics experience is advantageous.
  • Knowledge of billing, CRM, digital, customer-contact and operational data; Oracle CC&B and Salesforce experience is particularly relevant.
  • Ability to work across KPI Reporting, Data Engineering, Data Governance, platform teams and the business to deliver end-to-end solutions.
  • Strong people leadership, mentoring, prioritisation, negotiation and communication skills, including explaining complex concepts and recommendations to senior management.
  • Working knowledge of data quality, GDPR, privacy, responsible AI and model governance, with the ability to partner effectively with Governance, Risk, Security and Legal.
  • Experience of leading & managing teams
  • Ability to deputise for the Head of the Data CoE when required; experience in energy, utilities or another regulated customer-focused sector is desirable.

Preferred Qualifications & Skills:

  • A relevant postgraduate qualification, or equivalent practical experience, in data science, statistics, mathematics, computer science, economics or a related discipline.
  • A clear, candid and constructive communicator who listens well, collaborates across functions and shares knowledge.
  • An advocate for reproducibility, explainability, documentation, engineering discipline, data governance and responsible AI.
  • Process-driven and pragmatic, balancing immediate delivery with sustainable capability and avoiding unnecessary bureaucracy.
  • Creates an inclusive environment where people develop, challenge assumptions, solve problems creatively and remove delivery bottlenecks.

Why should you apply?   
  
We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.  
  
https://www.morethanacareer.energy/bordgais 

  

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.    
 

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. 

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Dublin

🚀 Data Science and Analytics Manager 📍 Location: Hybrid, 2 days per week at our office in Warrington Place 🕒 Permanent
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