Technical Product Manager, Data & Analytics Platform

Mariana Minerals is a software-first, vertically integrated minerals company supplying the minerals critical to modern energy, AI, and defense technologies. The Technical Product Manager will be the single product owner for the data engineering family, including the data platform, analytics, data science, and the AI and agentic workflows built on top of them. The role is a hybrid Pioneer/Settler role: building lightweight demos and PoCs on ambiguous problems and bringing order and cohesive ownership to existing data work streams.

Responsibilities

Talk to internal teams (operators, machine learning engineers, software developers, analysts, and data users) to set the roadmap; Own the roadmap for the data platform, analytics, and data science tooling: what gets built next, for whom, and why; Write product specs, KPIs, and success metrics that turn ambiguous asks into scoped, shippable work; Own prioritization and stakeholder alignment so engineers stay focused on deep technical work; Make build-vs-buy calls for BI and analytics, and prioritize tooling that lets stakeholders answer their own questions; Own where agents fit versus conventional software, and drive AI and agentic workflows from demo to adopted tool; Decide which new data streams get integrated, when, and to what standard; Set the bar for what 'supported' and 'correct' mean as tools graduate from scripts and spreadsheets, and be explicit about what won't be migrated

Requirements

4–8+ years in technical product management, data platform or analytics product roles, or equivalent experience leading cross-disciplinary technical programs; Comfortable being the only PM in a highly technical room; Enough depth in data infrastructure and analytics to earn credibility with data engineers, data scientists, and analysts; Working fluency with the current LLM/foundation-model landscape and where agentic approaches genuinely fit versus conventional software; Track record of bringing structure to ambiguous, cross-functional initiatives: setting direction, aligning stakeholders, and owning outcomes end-to-end; Hands-on prototyping ability: can get a PoC built with stakeholders, not just write requirements for one; Strong prioritization and tradeoff skills: knows when to say no, and says it visibly; Exceptional written and verbal communication across audiences, from data engineers to operators to executives

Nice to have

Product ownership of a data platform, warehouse, or analytics stack in production; Experience with BI/analytics tooling strategy (Hex, Looker, or embedded analytics); Experience shipping LLM-powered or agentic internal tools; Background in mining, energy, chemicals, manufacturing, or other heavy industry; Experience leading the transition from spreadsheets and scripts to supported software