Technology Success Manager (Critical Power & Energy)

Essential Duties And Responsibilities

The following essential duties and responsibilities are representative of the work performed in this role. Other duties may be assigned.

• Technology Leadership – Critical Power & Energy Verticals
• Provide technology leadership for the Critical Power and Energy & Distributed Resources verticals, owning the overall technology relationship, demand intake, prioritization, and delivery accountability across all systems supporting UPS, Electrical, EV, Solar, ESS, and Wind operations.
• Partner with the GMs of Critical Power and Energy & Distributed Resources to define the technology vision, multi-year roadmap, and investment priorities aligned to asset performance, uptime, revenue growth, cost-to-serve, safety, and customer experience outcomes.
• Own demand intake, triage, business case development, and prioritization across GIS/geospatial, BI/analytics, Salesforce/Field Service, integrations, automation, and adjacent enterprise platforms based on business value, feasibility, risk, readiness, and strategic fit.
• Translate vertical priorities into solution opportunities, executive trade-offs, roadmap direction, and investment alignment; provide a consistent technology voice back to both verticals.
• Define, publish, and manage business-facing KPIs and SLAs (asset uptime, response/resolution times, dispatch efficiency, first-time-fix, revenue per asset, invoice accuracy) in partnership with vertical leadership and operations teams.
• Leverage BI & Analytics (Power BI, Fabric, Tableau, Snowflake, or equivalent) to design and deliver executive dashboards, KPI/SLA scorecards, and decision-support experiences — partnering with the enterprise BI platform and data teams to ensure trusted, single-source-of-truth reporting for both verticals.
• Drive operational readiness and hypercare for new releases across field, dispatch, and back-office teams — with clear support models, runbooks, on-call coverage, monitoring, and observability in place before go-live.
• Own stakeholder alignment, change enablement, adoption planning, communications, training readiness, and operational readiness so delivered solutions are embraced and sustained by field, dispatch, planning, and back-office teams.
• Own value realization by tracking KPI performance, adoption metrics, productivity gains, revenue/margin impact, ROI realization, and lessons learned; report performance dashboards to vertical and technology leadership and lead continuous improvement cycles.
• Ensure data integrity, security, compliance, and audit readiness across in-scope systems, and manage vendor/MSP performance against contracted SLAs.
• Facilitate governance, prioritization reviews, executive reporting, escalation management, and decision forums to maintain transparency, accountability, and alignment across both vertical portfolios.
• GIS & Geospatial Intelligence Capability Ownership
• Own the GIS / Geospatial Intelligence capabilities and roadmap as a key enabler for asset-, site-, and field-centric operations across Critical Power and Energy verticals — spanning ESRI ArcGIS Enterprise/Online, ArcGIS Field Maps, Survey123, Dashboards, GeoAnalytics, and imagery services.
• Partner with vertical leadership to identify geospatial use cases — site inventory, asset location intelligence, route optimization, service territory management, coverage/gap analysis, solar/wind site planning, EV charger siting, and outage/incident visualization.
• Define enterprise geospatial data models, spatial reference standards, master data, and integration patterns with Salesforce Field Service, ERP, workforce, BI, and asset systems to create a single source of truth for asset location and site context.
• Own the GIS capability roadmap and release priorities by balancing business value, user impact, feasibility, dependencies, data readiness, governance, and delivery capacity.
• Accountable for GIS delivery by coordinating requirements, spatial data modeling, map/app design, UAT, go-live, adoption, and continuous refinement — ensuring geospatial insights are actionable, trusted, and embedded in field, planning, and BI workflows.
• Drive geospatial data quality, governance, imagery/basemap strategy, coordinate accuracy, and lifecycle management in partnership with data engineering, architecture, and business owners.
• Promote modern geospatial best practices — reusable feature services, mobile field data capture (Field Maps/Survey123), real-time location intelligence, spatial analytics, remote sensing, drone/imagery workflows, and embedded maps in operational systems and BI dashboards.
• Ensure GIS platforms and pipelines meet reliability, availability, and SLA targets — including monitoring, incident response, release stability, and performance tuning of services and datasets.
• Program Management
• Own cross-functional program execution for Critical Power and Energy initiatives — implementations, migrations, integrations, analytics, GIS rollouts, and digital workflow programs — coordinating workstreams across business, product, data, integration, engineering, architecture, security, operations, and change management teams.
• Coordinate stakeholders and delivery teams by clarifying roles, responsibilities, decision rights, ownership boundaries, communication cadence, and escalation paths to keep execution aligned and accountable.
• Lead integrated planning across discovery, design, build, testing, UAT, deployment, training, rollout, and post-launch stabilization (hypercare), ensuring dependencies, constraints, resource needs, and sequencing are proactively managed.
• Translate approved priorities into delivery plans, release milestones, sprint objectives, workstream plans, dependency maps, and measurable outcomes tied to business value.
• Accountable for program execution by driving progress against scope, timeline, risks, issues, milestones, adoption readiness, and value realization commitments while removing blockers and facilitating timely decisions.
• Drive program communications, stakeholder updates, change impact assessments, training plans, release communications, rollout playbooks, and adoption support.
• Manage RAIDs, milestones, status reporting, executive dashboards, governance artifacts, steering committee materials, action logs, and decision records to maintain transparency, accountability, and execution discipline.
  
  

Supervisory Responsibilities

This position may provide indirect leadership to Product Owners, GIS analysts, BI analysts, delivery teams, and vendor/MSP resources supporting the Critical Power and Energy & Distributed Resources verticals. Direct supervisory responsibilities will be defined based on organizational structure and business needs.

Competencies

To perform the job successfully, an individual should demonstrate the following competencies:

• Continuous Learning – Stays current on GIS/ESRI, BI/analytics, and field-services technology trends; pursues certifications and applies learnings to improve outcomes.
• Job Knowledge – Deep expertise in enterprise GIS (ESRI), BI & analytics, ITSM practices, and business technology partnership for field-services verticals.
• Use of Technology – Leverages ESRI ArcGIS, Power BI/Fabric/Tableau, Snowflake, Salesforce Field Service, and modern DevOps/data tools to deliver business value.
• Problem Solving – Identifies root causes across business, spatial, and operational issues and drives durable, data-informed solutions.
• Project Management – Plans, organizes, and executes complex cross-functional programs with disciplined governance and outcome tracking.
• Customer Service – Acts as a trusted technology partner to vertical GMs and field teams; ensures responsive, high-quality service.
• Communications – Communicates clearly across executive, business, field, and technical audiences with tailored messaging.
• Cooperation – Collaborates effectively across business, delivery, data, GIS, security, and vendor teams.
• Oral Communication – Presents confidently to executive audiences and facilitates governance and steering forums.
• Teamwork – Builds strong working relationships across cross-functional teams and drives shared accountability.
• Written Communication – Produces clear, concise business cases, roadmaps, status reports, and executive briefings.
• Change Management – Leads adoption planning, stakeholder engagement, training readiness, and operational change activities across field and back-office teams.
• Performance Coaching – Coaches team members and delivery partners on outcomes, quality, and continuous improvement.
• Team Leadership – Provides technology leadership across verticals; sets vision, priorities, and standards.
• Delegation – Assigns responsibilities effectively and empowers Product Owners and delivery teams to execute.
• Leadership – Inspires trust and drives measurable business outcomes through influence and accountability.
• Managing People – Guides indirect teams, mentors talent, and fosters an inclusive high-performance culture.
• Conflict Resolution – Navigates competing priorities and resolves conflicts constructively across business and technology stakeholders.
• Recruiting & Staffing – Partners with talent teams to identify, attract, and retain skilled GIS/BI/technology resources for vertical initiatives.
• Diversity – Champions inclusive practices and diverse perspectives across teams and delivery.
• Ethics – Upholds integrity, compliance, responsible AI, and ethical decision-making in all activities.
• Organizational Support – Actively supports Pearce's mission, values, and enterprise objectives.
• Personal Appearance – Presents professionally in all client, executive, and team interactions.
• Attendance/Punctuality – Reliable, dependable, and available for critical business needs including incident escalations.
• Dependability – Consistently delivers on commitments and follows through on responsibilities.
• Judgement – Applies sound judgment in trade-off decisions balancing business value, risk, feasibility, and reliability.
• Planning/Organizing – Structures workstreams, roadmaps, and priorities with clarity and discipline.
• Quality – Delivers high-quality, reliable, and audit-ready solutions and reporting.
• Quantity – Manages high-volume portfolios of demand, delivery, and operational activities effectively.
• Safety & Security – Ensures data security, compliance (SOX, GDPR), and safe operational practices in field and technology contexts.
  
  

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education And/or Experience

• Bachelor's degree in computing, engineering, GIS, information systems, business, or related fields.
• 8+ years of experience across technology delivery, digital transformation, GIS/geospatial programs, BI & analytics, business-facing technology leadership, and IT service/operations management.
• At least 4 years hands-on with enterprise GIS platforms (ESRI ArcGIS Enterprise/Online, Field Maps, Survey123, Dashboards), and strong working experience leveraging enterprise BI & analytics platforms (Power BI, Fabric, Tableau, Snowflake, or equivalent) for KPI/SLA reporting.
• Demonstrated ability to act as a technology leader and business partner to asset-heavy, field-driven business verticals, owning outcomes across strategy, delivery, and operations.
• Strong track record of owning business technology outcomes, building business cases, prioritizing opportunities, defining roadmaps, tracking KPIs, driving adoption, and realizing ROI.
• Hands-on experience with spatial data modeling, coordinate systems, spatial analytics, mobile field data capture, and GIS integration with enterprise systems (Salesforce Field Service, ERP, workforce, BI, IoT).
• Solid understanding of data modeling, data warehousing, semantic layers, ETL/ELT, and modern data platforms supporting enterprise analytics and geospatial workloads.
• Strong stakeholder management, executive communication, change management, analytical, and cross-functional delivery skills.
• Self-starter, able to manage ambiguity, facilitate governance, coordinate execution, and drive accountability across business and technology stakeholders.
  
  

Language Skills

Strong professional English communication skills; ability to present technical and business content clearly to executive audiences, GMs, field crews, and diverse stakeholders; ability to write concise business cases, roadmaps, executive briefings, and governance materials.

Mathematical Skills

Strong quantitative and analytical skills, including KPI/SLA calculation, ROI and business case modeling, statistical interpretation of BI datasets, spatial/geospatial analytics, and financial acumen for investment prioritization.

Reasoning Ability

Ability to define, interpret, and act upon complex business, operational, spatial, and technical information; strong critical thinking to balance trade-offs across business value, feasibility, risk, and reliability; ability to structure ambiguous problems into actionable solutions.

Computer Skills

Proficiency with ESRI ArcGIS Enterprise/Online, Field Maps, Survey123, Dashboards, GeoAnalytics; BI/analytics platforms (Power BI, Microsoft Fabric, Tableau, Snowflake, Databricks, Azure Synapse, Azure Data Factory, dbt); SQL, DAX, Python, ArcPy, and spatial SQL; Salesforce (Sales, Service, Field Service); ITSM tools (Freshservice, ServiceNow); and Microsoft 365, Copilot, and Power Platform.

Certificates, Licenses, Registrations

• Esri Technical Certifications (ArcGIS Enterprise Administration, ArcGIS Pro, ArcGIS Developer, ArcGIS Field Operations Specialty) preferred.
• BI/data certifications such as Microsoft Certified: Power BI Data Analyst Associate, Fabric Analytics Engineer, Azure Data Engineer, Tableau Certified, Snowflake SnowPro, or Salesforce Data Cloud Consultant (preferred).
• ITIL v4 Foundation (or higher) and/or Site Reliability Engineering (SRE) certifications applied to enterprise SaaS and analytics platforms (preferred).
  
  

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Primarily an office/remote-based role with extended periods at a computer workstation; occasional travel required to sites, field locations, or executive meetings. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Hybrid/remote work environment based in Hyderabad, Delhi, or Remote. Regular collaboration across geographies and time zones with business and technology teams; occasional after-hours availability required for major incident coordination and cross-region governance forums. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Other Skills/Abilities And Qualifications

• Master's or advanced degree in computer science, GIS, geospatial engineering, information systems, business analytics, or related field (preferred).
• Domain experience across critical power (UPS, electrical, EV charging), solar, energy storage systems (ESS), or wind operations, plus exposure to distributed energy resource management and utility/asset ops.
• Experience designing AI-enabled BI and geospatial solutions — natural-language analytics, semantic models, automated insights, anomaly detection, drone/imagery analytics, predictive maintenance, and outage visualization.
• Proficiency with modern BI/data platforms (Power BI, Fabric, Tableau, Snowflake, Databricks, Synapse, ADF, dbt) and SQL, DAX, Python, ArcPy, and spatial SQL.
• Experience integrating GIS and BI with Salesforce Field Service, ERP (NetSuite/SAP/Oracle), workforce/UKG, ITSM (Freshservice/ServiceNow), IoT/telemetry, and identity platforms (AD/Entra ID, SSO/SAML).
  
  

Skills: geospatial,technology,arcgis,analytics,data,gis,enterprise