10 jobs found

Job Description Your responsibilities: 10+ years enterprise on Salesforce platform Extensive experience in Salesforce Sales, Service and Experience Cloud Experience in implementing Salesforce Automotive Cloud Extensive experience in Salesforce LWC, Lightning Design System, Lightning App Builder and Lightning Component features. Experience in Administration, Configuration, Implementation, Lightning, and experience with Salesforce platform. Experience of implementing alteast 5-6 projects on Experience Cloud Experience in Salesforce Customization, Security Access, Workflow Approvals, Data Validation, data utilities. Expertise in SFDC Development using Lightning Web Components, Apex Language, Visual Force pages, Classes, Controllers, Triggers, Indexes, Web Services, Components, Tabs, Apex Web services, Custom Objects, Reports, Analytic Snapshots and Dashboards, Profiles, Creating Roles, Page Layouts, Org - Wide default, Sharing rules, Work Flows. Utilize Salesforce integration methods and tools such as REST/SOAP APIs. Understand and apply relational databases and data modelling principles. Manage CI/CD processes and tools for Salesforce, including Salesforce DX and Jenkins Experience in implementing Salesforce SOQL, SOSL and dynamic queries in Apex logic Experience in writing test classes for maximum code coverage Experience Lightning Process builder flows, Chatter and quick Action Experince in Integration Methodologies, different API, Trigger framework, Recursive Triggers, VF Remoting, Asynchronous Framework - Batch jobs, Queueable Apex, Future methods Experience in setting up Connected App Experience in Sales cloud, Ant Migration tool, Standard and custom controllers, Data Loader, Eclipse IDE Plug-in, VS Code, Work Flow-Approval, Custom objects, Custom tabs, Email service, Html, Web-service (REST and SOAP) Experience in debugging the code for troubleshooting the issues . Your Profile Essential skills/knowledge/experience: Ownership of all End-to-End technical aspects of a program: data migrations, data quality, systems integrations, 3rd party applications, AppExchange products, and custom development Extensive experience in Salesforce Sales, Service and Experience Cloud Experience in implementing Salesforce Automotive Cloud Extensive experience in Salesforce LWC, Lightning Design System, Lightning App Builder and Lightning Component features. Experience in Administration, Configuration, Implementation, Lightning, and experience with Salesforce platform. Experience of implementing alteast 5-6 projects on Experience Cloud Experience in Salesforce Customization, Security Access, Workflow Approvals, Data Validation, data utilities. Expertise in SFDC Development using Lightning Web Components, Apex Language, Visual Force pages, Classes, Controllers, Triggers, Indexes, Web Services, Components, Tabs, Apex Web services, Custom Objects, Reports, Analytic Snapshots and Dashboards, Profiles, Creating Roles, Page Layouts, Org - Wide default, Sharing rules, Work Flows. Utilize Salesforce integration methods and tools such as REST/SOAP APIs. Understand and apply relational databases and data modelling principles. Manage CI/CD processes and tools for Salesforce, including Salesforce DX and Jenkins Experience in implementing Salesforce SOQL, SOSL and dynamic queries in Apex logic Experience in writing test classes for maximum code coverage Experience Lightning Process builder flows, Chatter and quick Action Experince in Integration Methodologies, different API, Trigger framework, Recursive Triggers, VF Remoting, Asynchronous Framework - Batch jobs, Queueable Apex, Future methods Experience in setting up Connected App Experience in Sales cloud, Ant Migration tool, Standard and custom controllers, Data Loader, Eclipse IDE Plug-in, VS Code, Work Flow-Approval, Custom objects, Custom tabs, Email service, Html, Web-service (REST and SOAP) Experience in debugging the code for troubleshooting the issues. Desirable skills/knowledge/experience: Certified Salesforce System Architect (must) Certified Salesforce Application Architect (must) Certified Salesforce CTA (optional)

Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in the world of IoT connectivity! But we're more than that. Our mission? To make IoT management a breeze for any device, anywhere. With over18 million IoT subscriptionsactive in165 countriesand direct partnerships with50 mobile networks, we connect you to more than750 networks worldwide, delivering unmatched value across the IoT connectivity chain. Innovation is in our DNA, and we have an insatiable hunger to 'wow'! While we may not always get it right, our drive to collaborate, innovate, and achieve top-notch customer satisfaction never wavers. We offer industry expertise, stellar service support, and the most flexible, resilient, and secure connectivity solutions on the market. Our expertise spans across various sectors, including industry, agriculture, healthcare, security, transport, utilities, and smart cities. IoT a fancy acronym or a secret code? TheInternet of Things (IoT)is like the magical glue that keeps the world connected! From ordering your favourite takeaway to the ANPR technology that helps you find a parking spot, IoT is everywhere-even if you don't realize it. AtWireless Logic, we provide cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected. The Opportunity: We are seeking a highly experienced VP Technology Operations to lead the safe, secure and resilient operation of all production platforms and services across Wireless Logic. This role is accountable for delivering five nines (99.999%) availability across critical services, ensuring that our platforms operate predictably, recover rapidly, and scale effectively under demand. You will act as the executive owner of live platform performance, leading incident response, operational governance, resilience engineering and production risk management. This role plays a critical part in ensuring that our technology estate supports a high availability, regulated and globally distributed business. Working closely with Engineering, Architecture, Security and Operations leadership, you will ensure that platform reliability is continuously improved and that all change is introduced safely into production. Key Responsibilities Include But Not Limited To: Production Reliability & Availability Own end to end production availability across all platforms and services Deliver sustained 99.999% availability for critical services Define and operate: SLAs, SLOs and error budgets RTO/RPO aligned to resilience objectives Drive improvements in: Observability and monitoring maturity Capacity management and performance optimisation Act as executive owner for: Major incidents Systemic production risk Customer impacting outages (technical resolution) Incident & Recovery Management Own the technology incident management framework Lead technical restoration during major incidents Coordinate cross functional engineering response Ensure rapid containment and recovery while managing systemic risk Conduct structured post incident reviews with: Engineering (permanent fixes) Architecture (design improvements) CISO (security implications) Service Operations (customer impact feedback) Drive elimination of repeat and systemic incidents Disaster Recovery & Resilience Engineering Own disaster recovery (DR) and resilience capability across all platforms Ensure: Failover capabilities are tested and proven Resilience is validated through regular exercises (e.g. chaos testing) Single points of failure are identified and removed Failure domains and blast radius are clearly defined and controlled Ensure resilience is engineered and evidenced, not assumed Production Change & Release Governance Own production change governance and release risk control Act as final authority on production release readiness Define and enforce safe deployment practices, including: Canary releases Phased rollouts Feature flagging Rapid rollback mechanisms Ensure all changes entering production: Are observable Have recovery mechanisms Minimise operational risk exposure Balance delivery velocity with platform stability Technology Operations & Platform Run Own operation of all production environments, including: Core platforms and shared services Cloud, network and hybrid infrastructure Observability and monitoring tooling 24x7 operational and on call capability Automation of operational processes Ensure platforms are: Secure and compliant Scalable and performant Cost efficient and optimised Operated in line with architectural standards Security Operations (SEC Ops) Operate Security Operations within Technology Operations under CISO governance Accountable for: SOC operations and monitoring Security event detection and triage Runtime vulnerability remediation Operational access controls Execution of containment actions during live incidents Partner with the CISO on: Security incident response Risk based decision making Escalate major trade offs between availability and security appropriately Operational Compliance & Audit Own operational control effectiveness within live environments Ensure readiness for: Regulatory compliance External audits Evidence collection and reporting Partner with: CISO (security controls) Risk, Quality & Compliance (assurance) MD Operations (enterprise governance) Ensure no material audit findings related to operational execution Reliability Engineering Influence Define production readiness standards for all services entering live environments Provide structured input into Engineering for: Reliability improvements Technical debt impacting availability Removal of operational toil Simplification of fragile dependencies Drive adoption of: Site Reliability Engineering (SRE) principles Automation first operations Error budget discipline Ensure reliability is treated as a shared outcome, with clear production accountability Own operational supplier performance and service levels Ensure: Vendors meet availability and response commitments Contracts support five nines objectives Cost efficiency does not compromise resilience Partner with Finance and Architecture on: Capacity planning Infrastructure lifecycle management Decommissioning legacy environments Measures of Success Sustained 99.999% availability for critical services Continuous reduction in MTTR and incident frequency Elimination of repeat and systemic failures Improved change success rate and reduced release risk Proven disaster recovery and resilience outcomes Effective containment of security incidents without customer impact No material audit findings in operational controls Increased automation and observability maturity Predictable and cost efficient platform operations Required Experience & Attributes Proven experience in a senior technology operations, SRE or platform leadership role Strong background in high availability, cloud based or distributed systems environments Experience delivering five nines availability or equivalent reliability targets Deep expertise in: Incident management and recovery Production operations and change governance Observability and monitoring frameworks Experience operating in regulated or compliance heavy environments Strong understanding of security operations in production environments Experience working in private equity backed or high growth organisations is desirable Wireless Logic Group unites and brings people together. We accomplish this when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture we aim to reflect the world's diverse voices both internally and externally to ensure success in our mission. By applying for this role, you are consenting for us to hold and process your data in compliance with the General Data Protection Regulations. If you have any questions or wish to exercise your right to access, erase or restrict the holding or processing of your data please contact us () and we will respond to your query as soon as possible.

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

Summary: PowerOn Solution Consultant to support the delivery of the OMS solution and its integration to relevant systems. Key Responsibilities: Lead and support SCADA architecture deployment for power utilities. Manage PowerOn Advantage (PoA) integrations and conduct PoA functionality testing . Handle deployment and configuration of PoA components across environments. Demonstrate a detailed understanding of PoA architecture and its various modules. Execute 2-3 full-cycle PoA system deployments within power utilities. Integrate PoA with Operational Technology (OT) applications such as GIS, WFM, PI, Historian , and other enterprise systems. Coordinate with customers and multi-vendor teams to ensure smooth implementation. Plan, design, and deliver end-to-end deployment solutions from engineering to operations. Ensure seamless handover of solutions/resources to operational teams. Provide technical guidance on defining solution architecture and integration with external systems. Develop test plans, test cases, and acceptance documentation for system validation and transition. Maintain up-to-date knowledge of standards, regulations, and best practices in the power systems domain. Technical Skills: Strong hands-on experience with PowerOn Advantage (PoA) , including SCADA, DMS, and OMS configuration . Proficiency in PoA network configuration and multi-discipline system integration projects. Experience in PL/SQL, Shell, PFL, and Perl Scripting . Configuration of modules such as Group Telecontrol, Automation, System Tracing, Symbol Design, and Alarm Configuration . Setup and configuration of SOAP services , application/database Servers , FEP Servers , Historian DB , DPF (Distribution Power Flow) , and Proxy Servers . Experience in Microsoft SQL Server Report Builder and SSRS (SQL Server Reporting Services) for report development and deployment. Hands-on experience in server replication setup and testing (Application, Reports, Proxy Servers). Familiarity with PoA cartography for network building. Solid understanding of both Windows and Linux server environments . Knowledge of IT/OT security standards , including NERC CIP compliance . Industry Knowledge & Capabilities: Strong understanding of electric utility distribution planning, engineering, and operations . Ability to use domain expertise to help clients adapt to new OT solutions (DERMS, DRMS, ADMS, OMS, SCADA). Evaluate and enhance clients' use of tools, applications, and methodologies in distribution operations. Apply recognized industry methods to address client needs and deliver reliable, scalable solutions. Anticipate and resolve technical issues independently or with minimal support.