3 Smart Infrastructure Jobs

Are you a results-driven leader with deep expertise in Metering, Billing & Collection (MBC), EPC, and Smart Infrastructure (AMI, solar, water) in the utility sector We are looking for a Segment Lead (Region) to drive business growth and service delivery across key regions. If you have a strong network within DISCOMs, understand AMISP frameworks, and have worked with state/central funded programs like RDSS, we'd love to connect. Key Responsibilities: Drive regional growth and opportunity pipeline for MBC and EPC services. Build and manage relationships with DISCOMs, AMISPs, and EPC partners. Lead techno-commercial positioning aligned with RDSS/state funding and utility business models. Ensure project delivery, SLA compliance, and coordination across internal and external teams. Lead billing, collections, and revenue recovery initiatives. Manage tender participation, including JV/consortium formation and bid strategy. Ensure contract compliance, delivery timelines, and risk controls. Required Skills & Qualifications: B.Tech /B.E. in Electrical/Electronics; MBA preferred. 10+ years experience in power utility services, with hands-on exposure to MBC and EPC. Excellent communication, negotiation, and leadership skills. Strong knowledge of AMISP frameworks, RDSS guidelines, and utility regulations. Proven experience in handling utility accounts and high-value service contracts. Self-driven, with strong commercial acumen and adaptable to competitive business environments. Demonstrated success in business development and stakeholder engagement.,

As the Program Manager for the Project Management Office (Service), you will play a crucial role in ensuring strategic and operational excellence within the service organization to achieve or exceed defined Key Performance Indicators (KPIs). Your responsibilities will include deploying global service portfolios and processes to enhance customer experiences, drive satisfaction, and foster sustainable growth. Central to your role will be leading digital transformation initiatives, enhancing operational efficiency, and maximizing technology platforms for service delivery. Your role will demand a high degree of self-organization and a focus on practical execution over abstract models. Experience with Agile methodologies such as Scrum, along with a strong software-oriented mindset, will be valuable in driving productivity, streamlining initiatives, and managing complex digital service programs. Key Responsibilities: 1. **Operational Efficiency & KPI Delivery**: - Lead the service operations team to meet or exceed established Service KPIs. - Identify and implement efficiencies to enhance productivity, quality, and cost-effectiveness. - Review operational performance against industry and internal benchmarks. 2. **Implementation of Global Service Portfolio**: - Develop a comprehensive framework for global digital service sales, deployment, and operations. - Streamline execution by defining roles, interfaces, and challenging existing procedures. - Monitor service quality and ensure alignment with global standards. 3. **Strategy Execution & Performance Management**: - Drive global and regional service strategies for long-term sustainable growth. - Conduct performance reviews, define corrective actions, and ensure target achievement. - Measure progress on strategic KPIs and provide data-driven insights to regional leadership. 4. **Digital Transformation & Tools Adoption**: - Foster adoption of digital tools for enhanced transparency, efficiency, and customer experience. - Transition operations to predictive and remote digital service models. - Identify automation opportunities to reduce costs and improve margins. 5. **Customer-Centric Service Excellence**: - Build and lead a service team focused on delivering value and ensuring customer success. - Monitor customer feedback and satisfaction metrics to drive improvements. - Establish effective escalation and resolution mechanisms to maintain high service levels. 6. **Team Leadership & Development**: - Encourage cross-functional collaboration and shared ownership for delivery. - Coach and empower service managers and teams for local execution. - Cultivate a culture of continuous improvement, collaboration, and digital-first thinking. Qualifications and Experience: - Bachelor's or Master's degree in Engineering, Business Administration, or related field. - 10+ years of experience in service delivery, operations, or customer success. - Proven leadership in managing distributed service teams and implementing global strategies. - Familiarity with Agile methodologies and PMP or PMI certification is desirable. - Strong budget, cost, and profitability management skills. - Willingness to travel periodically. Join us in Kalwa and be part of a team shaping the future with impactful projects across cities and countries. At Siemens, we value diversity and welcome applications from individuals of all backgrounds. Our decisions are based on qualifications, merit, and business needs. Embrace curiosity and imagination to help us create a better tomorrow. To learn more about Smart Infrastructure, visit: [Smart Infrastructure at Siemens](https://new.siemens.com/global/en/company/topic-areas/smart-infrastructure.html). Explore career opportunities at Siemens on [Siemens Careers](www.siemens.com/careers).,

Data Analyst Location: Bangalore Experience: 8 - 15 Yrs Type: Full-time Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver business-oriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using open-source). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.