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Technical Product Manager – Historian

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: L&T Digital Energy Solutions
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Data Science Manager, Systems Engineer, Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

The Technical Product Manager (TPM) – Historian is responsible for defining the product strategy, roadmap, and feature development for the organization’s time‑series data historian platform used for grid operations, renewable plant monitoring, and power system analytics.

This role will drive the evolution of the historian platform to support high-volume telemetry ingestion, real‑time data storage, advanced analytics enablement, and integration with grid automation platforms.

The TPM will act as a technical bridge between product engineering, platform architecture, and solutions engineering teams, ensuring that the historian platform supports large‑scale grid and renewable deployments while aligning with the broader Neural

GRID™ digital platform architecture.

Key Responsibilities
  • Define and maintain the product roadmap for the historian platform.
  • Identify capabilities required to support large‑scale power system telemetry, grid analytics, and renewable asset monitoring.
  • Ensure the historian platform aligns with the broader grid digital platform architecture.
  • Drive roadmap priorities based on utility customer needs, renewable integration requirements, and grid analytics use cases.
Product Architecture & Technical Governance

Work closely with product/platform architects to define scalable, high-performance time‑series data architectures.

  • High-frequency telemetry ingestion
  • Low‑latency query and analytics access
  • High availability and fault tolerance

Guide architectural decisions involving:

  • Scalable query and analytics frameworks
  • Cybersecurity and secure data access.
Requirements Management
  • Define and maintain Product Requirement Specifications (PRS) for historian platform capabilities.
  • Translate customer and system requirements into clear engineering specifications.
  • Maintain requirements traceability across product design, development, and validation.
  • Manage product backlog and prioritize feature development aligned with the product roadmap.
Typical functional areas include
  • Event and alarm history
  • Time‑series compression and retention
  • Data aggregation and rollups
  • Advanced query and visualization integration
  • Data interfaces for analytics and AI platforms.
Product Development & Solutions Engineering Coordination
  • Work closely with product development teams to guide implementation of historian platform capabilities.
  • Coordinate with solutions engineering teams to ensure the platform supports real‑world grid and plant deployment architectures.
  • Ensure alignment with broader grid digital platform standards and architecture principles.
  • Facilitate collaboration across:
    • Data engineering teams
    • Quality assurance teams
    • Support sales and solution teams in technical discussions with utilities, renewable developers, and grid operators.
  • Provide product expertise during opportunities involving grid monitoring, digital substations, renewable plant analytics, and asset performance management platforms.
  • Engage with customers and partners to understand evolving requirements for grid data platforms and operational analytics.
  • Contribute to positioning the historian platform as a core data infrastructure component for digital grid platforms.
Required Experience
  • 10–12 years of experience in renewable plant automation or power systems control.
  • Experience working with time‑series data systems, SCADA platforms, or industrial telemetry platforms.
  • Experience managing software product development for large‑scale data platforms or analytics systems.
Technical Expertise

Experience in several of the following areas:

  • Industrial telemetry platforms
  • High-volume telemetry ingestion
  • Data compression and retention strategies.
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