Jobs at OneMagnify

The Senior Data Engineer designs and maintains production data pipelines on GCP using BigQuery, Dataform, Airflow, Dataflow, and Cloud Run. They own data validation, cleansing, troubleshooting, API integrations, and reliable datasets for analytics and AI/ML. The role also involves translating client requirements into data solutions, maintaining dashboards, supporting ad hoc requests, and applying Git, code reviews, and CI/CD practices.

Develops analytical deliverables, business and marketing performance reports, dashboards, and data visualizations. Queries and transforms large datasets, conducts customer and campaign analysis, automates data processes, and provides actionable insights for strategic decisions. Collaborates with clients and cross-functional stakeholders, presents findings, and serves as a subject matter expert in customer analytics, program effectiveness, and financial reporting.

Leads the architecture, development, and governance of enterprise-scale cloud data platforms on GCP. Designs data lakes, warehouses, marts, ETL/ELT frameworks, batch and event-driven pipelines, and analytics solutions. Provides technical leadership, mentoring, code and architecture reviews, and engineering standards. Ensures data quality, security, observability, monitoring, and governance while optimizing BigQuery performance and cloud costs. Collaborates with stakeholders to translate business requirements into scalable data products and supports production troubleshooting.

Build and operate secure, scalable cloud infrastructure for AI and generative AI applications. Responsibilities include MLOps and LLMOps pipelines, CI/CD automation, infrastructure as code, container orchestration, observability, reliability engineering, security governance, and developer enablement. The role supports AI engineers, software engineers, and analytical modelers while managing production deployments, model versioning, evaluation, monitoring, drift detection, and hallucination mitigation.

Leads a cross-functional analytics team delivering sales, marketing, customer, and business performance insights. Manages people and projects, develops dashboards and reports, analyzes KPIs and campaign effectiveness, and translates complex data into recommendations for leadership and clients. The role involves querying and modeling large datasets, automating analytics processes, building customer profiles and forecasting models, and using AI-powered tools to improve efficiency and business outcomes.

Leads technical delivery for website, web services, database, and interactive technology projects. Manages onshore and offshore development teams, defines client requirements, troubleshoots and deploys code, supports architecture and security initiatives, coordinates technical schedules and priorities, contributes to staffing and pricing, and develops project functionality. Requires hands-on data engineering and application development experience with Python, SQL, databases, Databricks, and cloud platforms.

Leads complex client projects spanning integrated marketing, data, and technology initiatives. Manages scope, schedules, budgets, resources, risks, quality, and client expectations while coordinating strategy, creative, analytics, engineering, and delivery teams. Builds project plans, facilitates alignment, monitors project health, supports financial management, resolves escalations, and drives continuous improvement. The role requires experience with Agile delivery, cross-functional teams, project financials, digital or marketing technology, and client-facing communication.

Build and support end-to-end Power BI dashboards, datasets, data models, and reporting solutions using BigQuery and SQL. Develop transformation pipelines, automate reporting, manage refreshes, security, workspaces, and deployment processes, and improve data quality and performance. Partner with business stakeholders to define metrics, investigate data issues, and document solutions. Support Gen AI analytics use cases and mentor junior analysts.

Develop and deploy AI, generative AI, and LLM solutions that support credit risk modelers. Build and validate credit risk models using GCP, SAS, R, and Python; apply statistical and machine learning techniques; analyze results; document modeling processes; support model development; conduct ad hoc analytics; and implement secure, governed AI tools for analytical workflows.

Leads CRM campaign operations for a client account from requirements gathering through testing, deployment, approvals, and performance measurement. Translates strategy into detailed audience, data, journey, business-rule, and technical specifications; coordinates cross-functional handoffs; maintains QA and change-control processes; manages dependencies and delivery health; and improves operations through defect analysis, automation, and selective AI adoption.

Lead strategic relationships across a portfolio of enterprise accounts, serving as executive partner and sponsor. Own account strategy, client retention, revenue growth, renewals, forecasting, expansion planning, commercial negotiations, and quarterly business reviews. Coordinate analytics, technology, strategy, activation, and delivery teams to align solutions with client objectives, manage risks, and demonstrate measurable business outcomes.

Supports budgeting, forecasting, scenario planning, workforce planning, and cost optimization for the India organization and broader finance team. Maintains financial models, monitors performance metrics, evaluates strategic initiatives, and provides analysis to Finance leadership. Partners with business leaders and BI teams to improve reporting, planning efficiency, and data-driven decision-making using modern technologies and AI.

Build and lead OneMagnify’s global FP&A Reporting Center of Excellence in India. Own executive, board, lender, and management reporting; establish scalable standards, controls, and processes; oversee budgeting, forecasting, variance analysis, and cost optimization; recruit and develop FP&A talent; and drive finance transformation through automation, Adaptive Planning, AI, and modern reporting technologies.

Leads OneMagnify’s AI practice by guiding client strategy, directing generative AI architecture and delivery, and translating business needs into production-ready solutions. Manages and mentors data scientists, AI engineers, and software engineers while overseeing Databricks-based data pipelines, model deployment, MLOps, and LLM applications. Partners across analytics, strategy, engineering, creative, and operations teams, presents technical concepts to executives, and contributes to evolving the company’s AI service offerings.

The Business Analyst will gather and validate requirements, translate business needs into Agile user stories, support solution design, analyze complex datasets with SQL, and conduct root cause analysis. The role partners with clients, product, UX, development, data, and QA teams throughout delivery. Responsibilities also include process modeling, payment validation, test traceability, user acceptance testing, workshops, training, client presentations, and improving analysis practices.

Leads client discovery, requirements gathering, Agile user-story development, solution design, data analysis, SQL validation, root-cause analysis, and quality assurance support. Facilitates workshops, stakeholder reviews, demonstrations, training, and user acceptance testing while coordinating application, data, UX, development, and QA teams. Provides consultative guidance throughout technology and data solution delivery, with emphasis on payment validation and accurate business outcomes.

Lead engineering delivery for Chennai teams, ensuring high-quality, client-focused software through process improvement, quality metrics, capacity planning, and mentoring Engineering Managers. Own strategic roadmap, cross-functional collaboration with Product, Architecture, DevOps, and Security, and enforce documentation, standards, and technical excellence to improve velocity, code quality, and application health.

Lead and coach multiple Agile teams to deliver digital products and platforms. Facilitate ceremonies, manage releases, surface risks and dependencies, remove impediments, coordinate cross-functional stakeholders, and use Jira/Rovo and reporting tools to drive delivery transparency and continuous improvement.

The HR Business Partner acts as a trusted advisor to department leaders, leading people strategy and aligning HR initiatives with business goals. Responsibilities include talent management, organizational design, workforce planning, and enhancing employee engagement in a fast-paced environment.

Optimize LLM performance and implement evaluation frameworks; build clustering models for customer and product segmentation; design and maintain data pipelines using SQL and Python DAGs.