Lead Drilling & Sampling Data

Lead Drilling & Sampling Data

Job Country:
Canada

Job State/Province:
Ontario

Job Location/Region:
Toronto

At BHP we support our people to grow, learn, develop their skills and reach their potential. With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success.
Come and be a part of this success!

Downtown, Toronto office. 40 hours per week. Hybrid working (flexible, shared workstations and a combination of office and work from home) is standard for BHP.

The starting annual salary range for this role is $160, CAD. Additional rewards includes a short-term incentive bonus program, health plan, personal spending account, dental, life insurance, and pension.

We are seeking a motivated and experienced leader, with a track record of designing and implementing geoscience data systems to join our Exploration Geoscience Data team within Exploration Excellence and Innovation. This role will report to the Manager of Geoscience Data.

As the ‘Lead Drilling & Sampling Data’, you will lead a globally distributed team responsible for the end‑to‑end lifecycle of drilling & sampling datasets; from acquisition (field campaigns, external data sources) through ingestion into repository, and subsequent delivery to internal and external stakeholders. You will ensure seamless and consistent data practices across Exploration, and drive collaboration with other Geoscience Data verticals:
Geospatial Data, Systems, Central Data Platform, and Data Integration.

The successful candidate will be a highly collaborative leader who creates a positive team culture, and champions testing and adoption of new methodologies leveraging ML and AI. Since this role is accountable for managing stakeholders across various BHP functions, geographies, and time zones, you will require exceptional skills in communication, relationship building, influencing on best practices, and delivering customer‑centric solutions. Your team will be accountable for efficiently delivering data solutions across a range of Exploration projects, from concept to targeting.

Occasional international travel may be required for this role.

Governance & Strategy:

• Develop and drive short and long‑term strategy and roadmaps for Drilling & Sampling data systems, capabilities, and solutions that are aligned with broader Geoscience Data goals toward future‑proofing Exploration’s cloud‑native data infrastructure.
• Establish and implement drilling and sampling data standards, governance and best practices through technical documentation and training.
• Accountable for systems and protocols related to ingestion and management of structured and unstructured data from both internal and external sources across all Exploration applications and geographies.
• Enforce compliance of data integrity, security and privacy protocols, aligned with enterprise Data and Technology strategies.
• Develop and design core components of Exploration’s drilling and sampling data systems, including data modeling, business rule definition, schema creation, data validation, quality assessment and interoperability (APIs, connectors).
• Drive global data standardization by leading the optimisation and harmonisation of Exploration’s various acquired databases into a unified data model.
• Oversee strategic integration and automation, ensuring seamless data migrations and workflow optimisation between internally developed BHP platforms and commercial off‑the‑shelf solutions such as Esri.

Solution Delivery:

• Act as a key liaison with other Geoscience Data leads (Geospatial, Systems, Central Data Platform, Integration) to deliver integrated geoscience data solutions to an ever‑evolving pipeline of Exploration projects.
• Oversee resource allocation to support geoscience teams across multiple Exploration phases.
• Develop roadmaps and task prioritisation for day‑to‑day front‑line geoscience data solutions, as well as large…