Senior Customer Scientist

Job Description – Product Manager

Experience : 8 to 20 Years

Mandatory : Current experience in Life Insurance and Product Based company

Key Responsibilities:

·       Define and execute the product roadmap for Life Insurance products and digital solutions.

·       Collaborate with cross-functional teams, including Actuarial, Underwriting, Claims, Sales, and IT, to deliver high-impact product enhancements.

·       Gather and analyze business and functional requirements and prepare detailed BRDs and FRDs.

·       Work closely with technology teams to enhance and integrate Life Asia core systems for improved efficiency.

·       Conduct market research, competitor analysis, and regulatory assessments to drive innovation in life insurance offerings.

·       Manage the end-to-end product lifecycle, from ideation through implementation and post-launch improvements.

·       Ensure compliance with IRDAI regulations and other applicable industry standards.

·       Monitor key product performance metrics and optimize strategies based on data-driven insights.

Required Skills & Qualifications

·       8+ years of experience in Product Management, with at least 6+ years of experience in the Life Insurance domain.

·       Strong experience in creating and managing BRDs and FRDs for insurance product development.

·       Hands-on experience with Life Asia or other core life insurance platforms.

·       Expertise in digital transformation, policy administration systems, and customer journey optimization.

·       Proficiency in Agile methodologies and tools such as Jira, Confluence, or similar platforms.

·       Strong analytical, problem-solving, communication, and stakeholder management skills.

Please feel free to reach out to me to discuss the requirements in detail. We look forward to exploring a potential partnership with your recruitment team.

 Working days - 5 days (WFO)

Only consider for Male candidates

Product Ict based exp required only

NP : Immediate joiner

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

Required Skills

1. 4+ years of experience with Microsoft Power Platform.
2. Expertise in Model driven apps, Business process flows, Cloud flows, Canvas Apps, Power Automate.
3. Expertise in User permissions configuration.
4. Bachelors in computer science or related field.
5. IT experience with n-tier, database, and client server design/development
6. Architecting and designing business applications using Power Apps, Power Automate, Power BI.
7. Expertise on various integration technologies like REST, Service Bus, HTTP, SOAP.
8. Ability to execute development of Re-usable Assets, Code Reviews, and IT Governance for Power Practice

Desired Skills

1. Well versed with SDLC, Agile, CD&CI methodologies.
2. Knowledge and expertise on Plugins
3. Hands-on Java experience is an asset.
4. Provide thought-leadership to client across business and technical project dimensions solving complex business requirements.
5. Accountable for ensuring the business and technical architecture of the delivered solution matches customer technical and functional requirements, and commits to Customer Success (realization of business benefit)
6. Well experienced with design application and Infrastructure using various Application Servers, Databases, Security Managers etc.
7. Knowledge and expertise on recent trends like Cloud, AI/ML, Microservices etc.

Must have : Experience in Dataverse, sql, security, deployment, model driven, canvas apps

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

SharePoint Developer

Job Description

We are seeking a highly skilled SharePoint Developer with 4-15 years of experience to join our dynamic team. The ideal candidate will have a deep understanding of SharePoint technologies and a proven track record of designing, developing, and deploying robust SharePoint solutions.

Responsibilities:

• Design, develop, and customize SharePoint solutions, including workflows, custom forms, and web parts.
• The candidate must know tamil language.
• Migrate SharePoint environments and upgrade existing solutions to the latest versions.
• Troubleshoot and resolve complex technical issues related to SharePoint.
• Collaborate with business analysts, project managers, and other stakeholders to understand requirements and deliver effective solutions.
• Stay updated with the latest SharePoint trends and technologies.
• Adhere to best practices and coding standards.

Required Skills and Experience:

• Strong proficiency in SharePoint development, including SharePoint Framework (SPFx), PowerShell scripting, and SharePoint Add-ins.
• In-depth knowledge of SharePoint architecture, configuration, and administration.
• Experience with SharePoint Online and on-premises environments.
• Strong understanding of web development technologies, including HTML, CSS, and JavaScript.
• Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.

If you are a passionate SharePoint Developer with a proven track record of delivering innovative solutions, we encourage you to apply.

After your selection, we are having 7 days of unpaid OJT and this is for everyone who joins in sales. In which 1 day will be product training and product briefing session will be conducted. In OJT period you are required to achieve 2 sale unit of any ticket size in order to get on boarded as a permanent employee of the company. If your shortlisted, you can expect your Intent offer letter by EOD and you can attend the product training tomorrow.

• Previous experience working with a custom theme and/or the Storefront API
• Working knowledge of Shopify's theming system and Liquid templating
• Working knowledge of Shopify's object/properties, AJAX API, and Meta fields
• A bachelor's degree in information technology, computer science, or a related discipline

Desired Candidate Profile

• Bachelors/ Master’s degree in Computer Science, Engineering or a related subject
• Minimum 3 years work experience in mobile application development
• Proficiency in Problem Solving, Data Structures and Algorithms
• Strong knowledge of design concepts and constraints on mobile platforms
• Proficiency in Java/Android
• Ability to use third party SDKs
• Familiarity with Firebase, FCM, IMA, Google Services and Facebook SDK
• Demonstrable experience building excellent mobile apps that are currently in Google Play Store
• Experience with HTML5, Java, Responsive Design and flutter    

• 6+ years of relevant experience in DB2 LUW Administration
• Good experience with
  • Performance tuning and troubleshooting
  • High availability solutions HACMP, TSA, MSCS Cluster
  • Monitoring, backup, recovery, IBM Data Server Manager, TSM , Commvault
  • Data replication, Q-replication & CDC
  • Implementing DB2 key features
  • Desirable experience with Db2 Pure scale
• Experience with tools i.e. ITM, Nagios, Service Now
• Experience with automation and scripting such as CRON, PowerShell, Shell Scripting
• Experience with configuring and usage of Clustering, db2diag and notification logs, snapshot and event monitor
• Experience with use of problem and change management tools