Product Manager-Decision Science

Job Title : IT Risk & Controls Lead – Third Party Risk Management

Location : Pune (Onsite)

Experience : 5+ Years

Notice Period : Immediate or Serving Notice

Employment Type : Full-Time / Contractual

Mandatory Skills : Third Party Risk Management, IT Risk & Controls, System Development & Deployment Controls, Data Movement Controls, Identity & Access Management (IAM).

Key Requirements :

• Mandatory : Third Party Risk Management experience.
• Strong knowledge of IT Risk & Control frameworks (especially in financial services).
• Expertise in System Development, Data Movement, IAM (Identity & Access Management).
• Familiarity with Non-Financial Risk, compliance, and governance.
• Strong stakeholder management, communication, and analytical skills.
• Tools : MS Excel, SharePoint, Microsoft Teams, Confluence.

Responsibilities :

• Act as a trusted advisor to senior management on IT risk and control matters
• Govern controls across development, data, and access processes
• Ensure compliance with risk frameworks and identify areas for improvement
• Collaborate with Cybersecurity, IT, and Business teams to strengthen controls
• Support audits, regulatory compliance, and risk reporting

Preferred :

• Experience working in global teams and diverse cultural environments
• Knowledge of automation opportunities in control processes

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

We are looking for an experienced BI Solution Architect to lead the design and implementation of scalable, secure, and high-performing Data & BI platforms across Azure and GCP environments.

This role will own the end-to-end data architecture covering ingestion, storage, processing, transformation, analytics, and visualization while driving enterprise BI strategy, reporting governance, and modernization initiatives. The ideal candidate will work closely with business stakeholders, enterprise architects, and engineering teams to deliver robust, production-ready analytics solutions.

Key Responsibilities:

Data Architecture & Solution Design

• Define architecture for data ingestion, storage, processing, and transformation across Azure and GCP.
• Design scalable, resilient, and enterprise-grade data platforms aligned with architectural standards.
• Create data models, architecture blueprints, and end-to-end data flow designs.
• Collaborate with enterprise architects to ensure architectural compliance and governance.

Data Platform & Pipeline Architecture

• Design and oversee large-scale distributed data platforms and pipelines.
• Define standards for data ingestion, transformation, and consumption layers.
• Enable development of scalable and reusable data products.
• Promote modern data architectures including:
• Data Lake
• Lakehouse
• Data Mesh

BI Strategy & Architecture

• Define and drive enterprise BI strategy aligned with business objectives.
• Standardize BI architecture and reporting frameworks across the organization.
• Evaluate and recommend BI technologies including:
• Power BI
• Tableau
• SAP Business Objects (BO)
• Develop reusable blueprints, patterns, and accelerators.
• Lead proof-of-concepts (POCs) and BI modernization initiatives.

Visualization Governance

• Establish dashboard development standards and visualization best practices.
• Define governance frameworks to improve dashboard quality, consistency, and usability.
• Review dashboards prior to production deployment.
• Guide teams in creating intuitive, business-focused, and high-performance visualizations.

Data Governance & Enterprise Data Management

• Define and enforce enterprise data governance standards.
• Drive metadata management, master data management, and reference data practices.
• Establish data quality frameworks, validation mechanisms, and monitoring processes.
• Create technical glossaries and enterprise-wide data standards.

Security & Compliance

• Define access management and security standards across Data & BI platforms.
• Implement controls for sensitive and regulated data.
• Ensure compliance with enterprise policies and regulatory requirements.

Performance & Optimization

• Define monitoring, tuning, and optimization strategies for data pipelines and dashboards.
• Ensure scalability, responsiveness, and reliability of analytics platforms.
• Implement proactive monitoring and observability frameworks.

Leadership & Stakeholder Management

• Partner with Product Owners, Business Analysts, and stakeholders to translate requirements into architecture solutions.
• Collaborate with Data Engineers, Analysts, and Data Scientists to solve complex technical challenges.
• Mentor engineers and associate architects.
• Lead architecture reviews and drive solution governance.

Data Lifecycle & Operations

• Own end-to-end data lifecycle management:
• Ingestion
• Processing
• Storage
• Archival
• Ensure operational readiness and reliability of critical data platforms.
• Drive best practices around scalability, resilience, and sustainability.

Migration & Modernization

• Lead Tableau-to-Power BI migration strategy and execution.
• Design dual-platform architectures to ensure business continuity during migration.
• Drive legacy platform rationalization and modernization initiatives.
• Optimize infrastructure and licensing costs while reducing total cost of ownership (TCO).

Required Qualifications

Experience

• 8+ years of experience in Data Engineering, Big Data, Analytics, or Data Architecture.
• Proven experience designing enterprise-scale data platforms and analytics solutions.
• Strong stakeholder management and leadership experience.

Technical Expertise

• Strong expertise in Azure and GCP data ecosystems.
• Deep understanding of:
• Data Modeling
• ETL / ELT
• Distributed Systems
• Enterprise Data Platforms
• Experience with modern architectures:
• Data Lake
• Lakehouse
• Data Mesh

BI & Analytics

• Strong hands-on experience with:
• Power BI
• Tableau
• SAP Business Objects (BO)
• Expertise in:
• BI Architecture
• Dashboard Design
• Visualization Best Practices
• Reporting Governance

Data Governance

• Strong understanding of:
• Data Governance
• Data Quality
• Metadata Management
• Data Lifecycle Management

Must-Have Skills

• Data Architecture & Solution Design (Azure & GCP)
• Large-Scale Data Platform & Pipeline Design
• Data Modeling & ETL/ELT Architecture
• Distributed Systems
• Data Lake / Lakehouse / Data Mesh
• Power BI & Tableau
• Data Governance & Data Quality
• Enterprise BI Architecture
• Stakeholder Management & Leadership

Good-to-Have Skills

• Enterprise Data Platforms & Multi-Cloud Environments
• CI/CD Pipelines & Automation for Data & BI Platforms
• Real-Time / Streaming Data Architectures
• BI Transformation & Modernization Programs
• Tableau to Power BI Migration Experience
• Azure Data Engineer / Architect Certifications
• GCP Professional Data Engineer / Cloud Architect Certifications

Why Join Us?

• Lead architecture for enterprise-scale Data & BI platforms.
• Drive organization-wide data and analytics strategy.
• Work on modern cloud ecosystems across Azure and GCP.
• High ownership, visibility, and stakeholder exposure.
• Opportunity to shape long-term data, analytics, and visualization roadmaps.

EPM- Oracle consultant 

Role – EPM – Oracle Consultant

Looking at candidates with Oracle Fusion experience. The client is implementing EPM , so ideally EPM Account Reconciliation or a person familiar with Hyperion financial close management may work. 

Requirement to be filled by mid of Feb 25

Brief JD –

Configure integrations for general ledger and subledger data

Data will be sourced from the current ERP’s (FIS / Oracle GL) and 3rd party subsystems (mortgage and treasury systems).

General ledger data will be sourced directly from Oracle ERP and via a flat file connection for non-Oracle data sources à Accordion to own the direct integration to Oracle GL and up to (2) flat file loads to be provided by the Client

Work with Client’s implementation partner to take the lead on 4 of the integrations and support the Synovus team on others

Further automation (i.e., emailing, API connections, and error handling

One (1) direct integration from Oracle GL to produce a flat file that can be loaded into TM1 for consolidated reporting needs

Provide light Go-Live/post Go-Live support

We help enterprise software companies deliver faster time-to-value during customer onboarding & implementation. Our platform enables cross-functional teams (Sales, Pre-Sales, Customer Success, Professional Services, Product, Engineering & QA) to collaborate at scale on a ‘single source of truth’ to track, prioritise and close any gaps in the delivery of customer use cases.

If you are passionate about delivering data driven operational excellence for customers and making a big impact as the 'Founding Engineer' in an enterprise SaaS startup - then we would like to hear from you!

You will get a unique opportunity to work with an experienced leadership team and grow your career with the company!

This is a unique opportunity to become a technical lead in a growing early stage Enterprise SaaS startup.

Remote Work : We are a remote-first company with a fully distributed team.

Responsibilities:

• Ownership of the entire front-end development from requirements to deployment
• Lead and mentor the front-end development team
• Take architectural and design decisions
• Set up development, testing and deployment processes as per best practices
• Conduct code reviews and approve pull requests
• Work with the founders to ship new features that solve our customers’ needs
• Work with Product Designer to turn designs into functional responsive front-end application UI components.
• Take initiative to improve system’s software architecture, UI, UX, scalability and performance
• Participate in the customer meetings for solution design and technical discussions
• Help in customer support activities by resolving any technical queries/issues reported by the customers

Requirements:

• B.E/B.Tech in Computer Science or related field
• 3-5 years of industry experience as a Front-End Engineer in a SaaS product
• 3+ years of experience in ReactJs
• Proficiency with front-end languages HTML/CSS/JavaScript and multiple libraries
• Proficiency with Unit and end-to-end testing UI frameworks
• Experience with CI/CD and deployment to AWS
• Prior experience with building and maintaining design systems
• Familiarity with tools like Figma and experience turning Figma designs into top-class UI
• Knowledge of REST APIs