Data Intelligence Manager
il y a 2 semaines
Luminus’ Optimisation department wants to proactively leverage its market expertise to guide Luminus’ strategy & activities in line with Luminus’ mission statement in order to:
(1)** increase Luminus’ competitive advantage **in a changing market driven by build-out of renewable energy sources, electrification of demand & introduction of newtechnologies;
(2) **reinforce Luminus’ resilience** in a market characterised by price volatility and uncertainties on energy supply and
(3) **assert Luminus’ own interests **towards external stakeholders (e.g. Elia, CREG, Fluxys, Engie,...).
In such a way that:
- The **EDF risk mandate is fully respected** & challenged when needed
- Key **risk management processes **are rigorously implemented & operational excellence pursued (including through data management)
- **Collaboration with internal stakeholders **is structurally reinforced
- Optimisation’s **dynamic and ‘can-do’ culture** is preserved, fostered & efficiently leverage
The Data Intelligence Manager plays a crucial role in ensuring that:
(1) **data is made accessible** to the department in a clean and proper way,
(2) **data is trustworthy & qualitative **- data issues are identified (quality, coherence, integrity),
(3) **models** (AI, ML, forward curve, option models,) are developed & maintained to support core activities & decision-making and fuel innovation. Responsible for the **development & maintenance of artificial intelligence & machine learning models**
(4) **business tools** step up in maturity by industrialising Python code & bringing in best practices to ensure code quality (e.g. via peer review,)
(5) **data & modelling expertise** existing within the business inspires innovation at Luminus level.
(6) Develop & promote a **culture** that looks into developing a **mindset that values innovation while taking into account **risk awareness & operational excellence **& values **collaboration **within and across departments
(7) Demonstrate **‘thought leadership’** on **data & modelling**, by contributing expertise to help advance Luminus strategic direction and by generating innovative insights and sharing these within Luminus to influence and inspire.
**Skills**
- Excellent **motivational and leadership skills**:
- ** High learning ability** to keep the pace with technological innovation
- Strong **organisational skills** to support delivery of operational improvements
- ** Rigorous regarding accuracy and quality**. Takes ownership and accountability for driving towards the highest standards in professionalism and operational integrity.
- **Communicative**, very good presentation skills. Ability to communicate complex ideas in a straightforward manner.
- **Strong change management skills **including stakeholder engagement and project delivery
- ** Customer-oriented attitude**:
- **Influencing skills** - able to challenge the status quo in a constructive manner to move the business forward.
- ** Ability to translate abstract concepts into practical solutions**:
- ** Proactive** and purposeful attitude
- Make the **bridge **between the business level and corporate initiatives
**Knowledge & experience**
- Master in a quantitative discipline, e.g. Engineering or Economics
- Min. 3 years experience in managing teams
- Min. 3 years experience in Optimisation domain, experience of working in a regulated trading role or working closely with trading teams
- Strong and proven track record in **data science / data engineering / AIML**:
- ** Experience in leading projects **and managing operational processes, ensuring robustness and efficiency
- ** Affinity with trading and risk management systems
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