Home entity - Customers & Products / Castrol / Strategy, Sustainability & Transformation/ Digital Enablement

Shift pattern - Reasonable overlap expected with GMT+1 - +3

Language requirements - Fluent in Business English with Business, digital, Data and Analytics acumen

Let me tell you about the role

As the Data Modeller Senior SME for Castrol you will collaborate with business partners across Digital Operational Excellence, Technology, and Castrols PUs, HUBs, Functions, and Markets to model and sustain curated datasets within the Castrol Data ecosystem. The role ensures agile, continuous improvement of curated datasets aligned with the Data Modelling Framework and supports analytics, data science, operational MI, and the broader Digital Business Strategy.

On top of the Data lake we now have enabled the MLOPS environment (PySpark Pro) and Gurobi with direct connections to manage the advance analytics and data science queries and algorithms written in python. This enables the data analyst and data science team to incubate insights in an agile way.

The Data Modeller role will contribute and enable the growth trajectory on data science skills and capabilities within the role, the team and the wider Castrol data analyst/science community, data science experience is a plus but basic skills would suffice to start.

What you will deliver

Articulate key outcomes and accountabilities that this person will deliver to be successful in this role. Ensure you describe the deliverables the results you want the job holder to deliver and not the process you expect them to apply to get to these outcomes

- Data Modelling Framework Management
- Maintain and evolve the Data Modelling Framework and repository across ERPs, source systems, and the digital landscape in partnership with Technology.
- Governance & Stakeholder Engagement
- Govern curated datasets through the Data Modelling Governance process with stakeholders including Digital Opex, I&E;, DataWorx, C&P;, CVP&E;, and others.
- Support for Data Architecture & MI
- Collaborate with the Data Architect and Operational MI Lead to resolve data challenges and ensure alignment with the Digital and Data Management frameworks.
- Change Execution
- Contribute to and support the execution of the Digital & Data Change Backlog, delivering incremental business value throughout the data lifecycle.
- Subject Matter Expertise
- Act as SME, product owner, or scrum master for digital projects (e.g., PCC),



ensuring sustainability and strategic alignment during rollout and embedding of the product portfolio performance.
- Mathematical Modelling: Partner with functional experts to translate business scenarios and optimization options into mathematical models. Interpret constraints and translate modelling outcomes into insights and what-if analyses to drive robust decision-making from highly dimensional BIG data.
- Data Modelling Framework: Support the Data Modelling Framework and repository for all data areas within the Harmonized Data Lake, encompassing PU-relevant ERPs, source systems, and the digital landscape.
- Scalable Data Challenges: Assist the Data Architect and Operational MI Lead in managing scalable data challenges for digital, Operational MI, and Analytics as defined by PUs, HUBs, Functions, and Markets. Apply end-to-end Digital and Data strategic views of the Data Management Framework to ensure accuracy and balanced digital or data solutions that optimize business performance.
- Data Science Toolkit: Support the embedding of the data science (ML/AI) toolkit in alignment with the business strategy and I&E; framework
- Collaborate with peers and support cross-functional teams
- Work across time zones and support multi-disciplinary initiatives
- Mindset: Apply a solutioning mindset to scale global to local and a fluent communicator
- Recommend data modelling strategies, CI opportunities, and capability/toolkit enhancements to the Data Architect, Operational MI Lead, and Digital Operational Excellence Manager.
- Influence business stakeholders on data governance and modelling best practices.

What you will need to be successful (experience and qualifications) Experience & Education

- Education:
- Degree in an analytical field (preferably IT or engineering) or 5+ years of relevant experience.
- Experience:
- Proven track record in delivering data models and curated datasets for major transformation projects.
- Broad understanding of multiple data domains and their integration points.




- Strong problem-solving and collaborative skills with a strategic mindset.

Skills & Competencies

- Expertise in data modeling, data wrangling of highly complex, high-dimensional data (ER Studio, Gurobi, SageMaker PRO).
- Proficiency in translating analytical insights from high-dimensional data.
- Skilled in PowerBI data modeling and proof of concept design for data and analytics dashboarding.
- Proficiency in Data Science tools such as Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS, or similar.
- Ability to work across multiple levels of detail, including Analytics, MI, statistics, data, process design principles, operating model intent, and systems design.
- Solid influencing skills to leverage expertise and experience to shape value delivery.
- Demonstrated success in cross-functional deployments and performance optimization.

BP Behaviours

- Respect - Build strong, trust-based relationships through honest dialogue.
- Excellence - Apply best practices, act professionally, and strive for executional excellence.
- One Team - Collaborate effectively and support team success.

You will work with

- You will be part of a 20 headed Global team called Global Data & Analytics Team.
- You will operate peer to peer in a team of global seasoned experts on Process, Data, Advanced Analytics and Data Science.
- The Global Data & Analytics team reports into the Castrol Digital Enablement team that is managing the digital estate for Castrol where we maximize scalability, process and data integration.
- This D&A; team is the driving force behind the Data & Analytics strategy managing the Harmonized Data Lake and the Business Intelligence derived from it, in support of the Business strategy and is a key pilar of value enablement through fast and accurate insights.
- As the Data Modeller SME lead you will engage will be exposed to a wide variety of stakeholders in all layers of the Castrol Leadership and our partners in GBS and Technology.
- Through Data Governance at Value centre you have great exposure to the operations and have the ability to influence and drive change through value preposition engagements.
- Within the team we foster an open collaborative, inclusive culture where the collective powers the high quality outcome and speed of delivery. It is a team that stands on each other's shoulders to always be part of the solution and deliver towards optimal outcome.

📌 Data Modeller SME Lead (Pune)
🏢 Bp
📍 Pune