Senior Solution Consultant

Description

Aa a Senior Solution Consultant, you will own the technical win in the sales cycle. From the first workshop through proofofvalue and handover, you will map customer pain points, design datacollection strategies down to sensor level, interpret model outputs and demonstrate clear return on investment. You are the bridge between DataMind AI’s analytics and the customer’s reliability, maintenance and operations teams.

Key Responsibilities:

• Lead discovery sessions with reliability, instrumentation, OT and operations stakeholders to define use cases, success metrics and data readiness.
• Audit existing sensors and instrumentation (vibration, temperature,,, oil analysis, pressure) and recommend additions or upgrades where needed.
• Coordinate proofofvalue projects: work with internal datascience and implementation teams to ensure data ingestion and signalquality validation; interpret results and present clear business value.
• Translate findings into clear business impact for technicians, engineers and executives.
• Build ROI briefs and partner with Account Executives on proposals, competitive positioning and commercial negotiations.
• Produce comprehensive technical handoff packages for implementation and customersuccess teams; remain the subjectmatter expert until initial KPIs are met.
• Capture market feedback on emerging African mining needs (mobileequipment health, dragline analytics, ESG reporting) and relay insights to Product and Engineering.

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  Requirements

  • At least 5 years in condition monitoring, reliability engineering or predictivemaintenance analytics within mining.
  • Handson experience analyzing vibration, lubrication, thermography or comparable data on crushers, mills, conveyors and mobile fleets (Caterpillar, Komatsu, Liebherr, draglines, dozers).
  • Practical knowledge of sensor selection, installation and certification.
  • Bachelor’s degree in Mechanical, Electrical, Instrumentation or Mining Engineering (or equivalent industry experience).
  • Familiarity with industrial analytics suites such as AVEVA Predictive Analytics, Aspen Mtell, OSIsoft PI, GE APM or similar.
  • Proven success conducting demos or proofofvalue projects and converting technical validation into signed deals.
  • Strong written and verbal communication skills; able to present complex engineering insights to all organizational levels.
  • Ability to meet minesite safety requirements and undertake frequent shortnotice travel.

  • Advantages:

    • Experience deploying machinelearning models or digital twins in heavyindustry environments.
    • Knowledge of ISO 55000, reliabilitycentered maintenance and conditionbased maintenance programmes.
    • Exposure to mobilefleet health systems (Caterpillar MineStar, Modular Mining MineCare).
    • Basic data analysis skills (Excel PowerBI Python) for adhoc data quality and KPI checks.

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