Job Openings for Senior Business Analyst / Product Owner – IoT Mobile Applications @ Plano, TX
Jeyakrishnan Kathirvel
Hi Professional,
Job Title: Senior Business Analyst / Product Owner – IoT Mobile Applications
Location: USA Plano, TX – Onsite with client-facing responsibilities
Department: Product & Digital Solutions
One position is Business analyst with IoT / Automotive exp
Role Overview
We are seeking a seasoned Business Analyst with 15+ years of experience to serve as the bridge between business, customers, UX, and engineering teams. The ideal candidate has deep expertise in mobile application development for IoT devices, specifically companion apps, and strong domain knowledge in manufacturing, EV battery charging, or related industrial IoT ecosystems.
You will operate as the Product Owner for a strategic IoT mobile platform, driving product vision, user story creation, and end-to-end delivery while acting as the primary onsite face of the product team in the USA.
Key Responsibilities
Product Ownership & Strategy
- Own and maintain the product backlog for IoT companion mobile applications supporting connected devices in manufacturing or EV charging domains
- Define product vision, roadmap, and release plans in collaboration with business stakeholders, architects, and engineering leadership
- Prioritize features based on business value, technical feasibility, and strategic alignment
- Serve as the primary decision-maker for scope, acceptance criteria, and release content
Requirements & User Story Management
- Lead discovery workshops with customers, operations, and engineering to elicit business and technical requirements
- Translate complex IoT device behaviors, telemetry data, firmware constraints, and cloud interactions into clear, testable user stories
- Create detailed user stories with acceptance criteria, edge cases, API contracts, and device state diagrams
- Drive story grooming, sprint planning, and backlog refinement sessions with cross-functional teams
- Ensure traceability from business objectives to epics, features, stories, and test cases
Stakeholder & Customer Engagement
- Act as the onsite face of the product team with customers, partners, and field teams across the USA
- Gather and synthesize voice-of-customer feedback from manufacturing plants, EV charging operators, and end users
- Present demos, roadmaps, and release updates to executive stakeholders and customers
- Manage expectations and negotiate scope, timeline, and trade-offs with business and technical teams
Cross-Functional Collaboration
- Partner with UX/UI designers to define mobile app workflows for device onboarding, provisioning, remote monitoring, s, OTA updates, and diagnostics
- Work closely with mobile engineers, cloud architects, firmware teams, and QA to ensure technical feasibility and consistent implementation
- Collaborate with data, security, and compliance teams on telemetry, user privacy, and industry standards like ISO 15118, OCPP, or MQTT
- Coordinate with manufacturing and operations to align digital features with physical device capabilities and factory processes
Delivery & Execution
- Drive agile ceremonies and ensure timely delivery of high-quality mobile releases for iOS and Android
- Validate features against acceptance criteria through UAT with customers and internal stakeholders
- Analyze post-release metrics, app analytics, crash reports, and device connectivity data to identify improvements
- Support go-to-market activities, training materials, and customer onboarding documentation
Required Qualifications
Experience
- 15+ years as a Business Analyst, Product Owner, or Product Manager in software/mobile application development
- 5+ years specifically in mobile apps that connect to hardware devices via BLE, Wi-Fi, or cellular
- Proven experience executing Product Owner responsibilities in Agile/Scrum environments
- Must have delivered products from concept to launch and managed them post-production
- Prior USA-based, customer-facing experience required; ability to travel to client sites up to 25%
Domain Knowledge
- Strong understanding of at least one:
- EV Ecosystem: Battery management systems, EV charging stations, OCPP/ISO 15118, energy management, telematics
- IoT Platforms: Device shadows, digital twins, telemetry ingestion, command & control, OTA firmware management
- Familiarity with hardware-software interaction constraints: latency, offline modes, provisioning, error states
Technical Skills
- Expert in writing user stories, use cases, process flows, and sequence diagrams for mobile + IoT systems
- Proficient with JIRA, Confluence, Figma, Miro, or similar agile and design tools
- Working knowledge of mobile app architecture, REST/GraphQL APIs, MQTT, cloud platforms AWS IoT/Azure IoT Hub/GCP
- Ability to read API specs, JSON payloads, and discuss technical trade-offs with engineers and architects
- Understanding of mobile analytics, crashlytics, and A/B testing frameworks
Skills
Mandatory Skills : Enterprise Roadmap / Strategy, Native Android, Native iOS, Solutioning NFRs
Jeyakrishnan Kathirvel
Job Title: Azure Data Architect
Location: Dallas, TX / Seattle, WA (Hybrid – Remote for 3 months)
Note: Looking for a strong Data Architect with Amazon/Microsoft experience, preferably based in Dallas.
JOB SUMMARY: We are looking for someone who can architect a scalable revenue data platform to support enterprise-wide data needs and deliver actionable insights across
Client business units. Our current tech stack includes Azure, Snowflake, Databricks, Claude, and GitLab, with AWS also available. Furthermore, having knowledge of finance domain and platforms like SAP and Oracle is an added advantage.
The ideal candidate will bring a forward-thinking approach—able to translate vision into architecture and design, develop proof of concepts, incorporate cost considerations, and deliver incremental value aligned to specific business units. This is a critical
role that requires strong ownership, a bias for action, and the ability to balance strategic thinking with hands-on collaboration at the engineering level.
Role Overview We are seeking a highly skilled Data Architect to lead the design and evolution of our Revenue Data Platform (RDMP). This role will be instrumental in architecting a scalable, enterprise-grade data platform that enables unified data
access and delivers actionable insights across Client business units.
The ideal candidate will bring a forward-looking mindset, translating strategic vision into practical architecture, while driving innovation, cost efficiency, and measurable business outcomes.
Key Responsibilities
Define and architect a scalable, enterprise-wide Revenue Data Platform to support diverse business needs Translate business vision into robust data architecture, design patterns, and implementation roadmap Develop proof of concepts (POCs) to validate architectural
decisions and accelerate adoption
Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS Collaborate closely with engineering teams to ensure hands-on alignment and execution Incorporate cost optimization strategies into architecture and platform design
Deliver incremental value aligned to specific business units through phased implementation Ensure data solutions enable high-quality, secure, and governed data access across the enterprise
Required Qualifications
Proven experience as a Data Architect designing and implementing large-scale data platforms Strong expertise in cloud data ecosystems (Azure preferred; AWS experience is a plus) Hands-on experience with Snowflake,
Databricks, and modern data engineering practices
Experience working with CI/CD tools such as GitLab Ability to bridge strategic architecture and hands-on engineering execution
Strong understanding of data modeling, data governance, and data platform scalability Preferred Qualifications Experience in Finance/Revenue domains Familiarity with enterprise platforms such as SAP and Oracle Exposure to AI/LLM tools (e.g., Claude) and their
integration into data platforms
Jeyakrishnan Kathirvel
Job Title: Data Engineer with Power BI & Fabric
Must have Skills – Data Engineering, PowerBI, Scala, Microsoft, Fabric, Python
Skill 1 – 7Yrs of Exp – PowerBI, Python
Skill 2 – 7Yrs of Exp – Scala, Spark, Data, ADF
Skill 3 – 5Yrs of Exp in Telecom Domain
• This role builds, and maintains scalable data pipelines and lakehouse infrastructure on Microsoft Azure to support efficient extraction, transformation, and loading of data across batch and real-time workloads. It involves implementing and managing the Medallion Architecture (Bronze → Silver → Gold) using Azure Data Factory, Databricks-PySpark, and Azure SQL Database and Databricks unity catalogue.
• The role requires ensuring SLA-adherent data quality standards. Success is measured by pipeline reliability, data freshness SLA compliance, and the quality of Gold-layer datasets powering Power BI executive dashboards.
• The work supports organizational decision-making by delivering trusted, well-governed data to business executives and analytics consumers.
Required Skills:
• Experience building and optimizing big data pipelines using Azure Data Factory, PySpark, and SQL across structured and semi-structured data sets
• Hands-on experience implementing Medallion Architecture (Bronze/Silver/Gold)
• Experience with Delta Lake — ACID transactions, incremental loading, schema evolution, partitioning strategies
• Experience performing root cause analysis on pipeline failures and data quality issues to resolve SLA breaches and identify platform improvement opportunities
Azure Foundational Services :
• Working knowledge of: Azure Data Factory (ADF), ADLS Gen2, Azure SQL Database, Azure Blob Storage, Azure Key Vault, Azure Monitor / Log Analytics, Azure Event Hubs, Microsoft Fabric Lakehouse, Azure Active Directory / Entra ID (RBAC, Service Principals)
Programming Languages:
• Proficiency in Python and PySpark for data transformation, pipeline automation, and large-scale distributed processing; strong SQL skills including window functions, CTEs, and query optimization across relational and lakehouse engines
Data Architecture:
• Solid understanding of Medallion Architecture, dimensional modeling (Star Schema, SCD Types 1/2/3), and the trade-offs between lakehouse, data warehouse, and data lake patterns
Pipeline Engineering:
• Ability to build robust ADF pipelines with ForEach, Lookup, Copy Activity, and Data Flows; incremental loading via watermark or CDC; error handling, retry logic, and dead-letter patterns
Data Quality Experience:
• Experience implementing SLA-based data quality checks (freshness, completeness, row count), monitoring via Azure Monitor and ADF diagnostic logs, and defining data quality agreements with business stakeholders.
DevOps for Data:
• Experience with Git-based workflows, ADF Git integration, CI/CD pipeline promotion across Dev/Test/Prod using Azure DevOps or GitHub Actions
Reporting Layer Awareness:
• Understanding of how Gold-layer data feeds Power BI — DirectQuery vs. Import mode trade-offs, dataset refresh patterns, and semantic model collaboration with BI teams
• Ability to manage work across multiple concurrent pipeline projects, prioritize by business impact, and communicate status clearly to technical and non-technical stakeholders
Good to have skills:
• Experience with Microsoft Fabric (Lakehouse, Notebooks, OneLake, Fabric Pipelines) — active migration or greenfield project
• Experience with real-time / streaming workloads using Azure Event Hubs or Structured Streaming in PySpark
• Experience delivering data platforms for executive-level reporting via Power BI semantic models