Key ResponsibilitiesStrategic Program ManagementDrive end-to-end planning, execution, and tracking of strategic initiatives under the COO’s charter - Own program governance, milestones, risk tracking, and performance reporting across initiatives.Lead annual operating planning activities in collaboration with cross-functional stakeholders.Define and track key performance indicators across business functions aligned with strategic priorities.Reporting & DashboardsBuild and maintain executive dashboards, OKR tracking systems, and review cadences for COO-level updates.Implement KPIs and dashboards to track improvements in utilization, gross margin, and productivity.Revenue ManagementLead revenue forecasting in alignment with finance and sales functions.Calculate and track sold margin percentages for deals and projects.Monitor actual vs. sold gross margin and revenue realization across engagements.Build and maintain frameworks and dashboards for revenue and margin governance.Margin ManagementCreate governance mechanisms to track and report margin drivers across business units.Support cross-functional efforts to improve unit economics, drive cost optimization, and improve delivery margins.Monitor key levers such as bill rates, resource utilization, and unit-level profitability to ensure margin targets are achieved.Contracts & Commercial OperationsOwn and manage the end-to-end contract lifecycle for both vendor and customer agreements.Ensure timely execution, compliance, and documentation of contracts in coordination with legal and procurement.Lead and track invoicing processes and manage accounts receivables to ensure timely collections and cash flow predictability.Tools & AutomationEvaluate industry-leading tools and platforms to streamline functions across talent acquisition, project management, PSA (Professional Services Automation), and finance.Lead implementation and change management for adopted tools, ensuring alignment with business needs and adoption across teams. Qualifications & Skills10–12 years of relevant experience in program management, business operations, or strategy roles in an IT services, SaaS or tech environment.Demonstrated ability to manage cross-functional programs with multiple stakeholders.Strong understanding of SaaS metrics (e.g., gross margin, MRR, utilization, billing rates, etc.).Excellent interpersonal and communication skills, with the ability to influence and collaborate across levels.High energy, proactive attitude, and a strong solution-oriented mindset.Willingness and availability to work from office (WFO) as part of a collaborative leadership team.

The ideal candidate will be responsible for finding and identifying leads through a variety of sources. Once leads identified, this candidate will reach out and meet with the business' decisions makers to better understand their business needs and how our product could help them. Responsibilities Identify and qualify new customers Prospect new customers through lead generation, trade shows, follow-up, and cold calling Identify the correct decision makers within a given business Document all pertinent customer information and conversations into CRM system Qualifications Bachelor's degree or equivalent experience 2+ years' experience Experience working with Salesforce.com or similar CRM Show more Show less

Job Description Responsibilities: Design, build, and maintain scalable, highly available, and secure AWS infrastructure. Manage deployment pipelines and implement CI/CD processes. Implement and maintain monitoring and alerting systems to ensure system health and availability. Work closely with development teams to ensure their infrastructure and deployment requirements are met. Develop and maintain automation scripts and tools to streamline infrastructure provisioning and configuration management. Troubleshoot and resolve infrastructure issues in a timely and efficient manner. Implement security best practices and ensure compliance with security policies and procedures. Mentor and train other team members on DevOps best practices and AWS technologies. Handle customer communication and requirement management Provide technology leadership to other engineers and to customer Skill Sets (Must have): Education qualification: BE /B Tech / MCA / MSc / M. Tech. 8-12 years of experience in DevOps, with a focus on designing and implementing CI/CD pipelines, DevOps Automation Processes, and Monitoring. Expertise in AWS services such as EC2, EKS, S3, RDS, Docker, Lambda, CloudFormation, and CloudWatch. Deep understanding of DevOps practices and methodologies, including continuous integration, continuous delivery, and infrastructure-as-code. Strong experience in managing and deploying large-scale, highly available production systems on AWS. Excellent troubleshooting and problem-solving skills. Strong communication and collaboration skills, with the ability to work effectively with development teams, stakeholders, and senior leadership. Very strong verbal & written communication skills. Experience with Kubernetes, Docker, and other containerization technologies. Knowledge of serverless architectures and AWS Lambda. Experience with infrastructure automation tools such as Terraform, Ansible, and Puppet. Strong experience with Agile and Scrum methodologies. Experience with networking and security best practices on AWS. Show more Show less

Job Brief: We are seeking a Senior Data Architect with a strong focus on Azure Data Services and extensive experience in the full data lifecycle management on Azure, AWS and GCP. The candidate should have at least 12 years of experience in data architecture, with expertise in Data Engineering, ETL/ELT, Data Warehousing, Lakehouse architecture, Business Intelligence, and Visualization, as well as a deep understanding of Data Mesh and Microsoft Fabric. Responsibilities: Data Acquisition and Ingestion : Define and execute data acquisition strategies, leveraging Azure Data Services for ingestion, and ensuring compatibility with AWS and GCP. ETL/ELT Pipeline Development : Design and implement ETL/ELT pipelines to facilitate efficient data processing and transformation. Data Engineering and Warehousing : Develop data models and architectures that support operational and analytical use cases, utilizing Azure Data Lake, Azure Synapse Analytics, and other Azure data services. Lakehouse Architecture Implementation : Construct and manage Lakehouse solutions, combining the benefits of data lakes and data warehouses to support a wide range of analytics and AI/ML workloads. Data Mesh and Microsoft Fabric : Implement Data Mesh architectures using Microsoft Fabric to enable decentralized data management and governance, ensuring data is organized and governed within specific business domains. Business Intelligence and Visualization : Oversee the development of BI solutions and visualization tools, making data actionable and accessible for decision-making. Master Data Management (MDM) and Data Governance : Ensure data quality, security, and compliance by implementing MDM and Data Governance frameworks. AI/ML and Generative AI Integration : Integrate AI/ML and Generative AI technologies to enhance data analytics and predictive capabilities. Solutioning and Proposal Response : Lead solutioning efforts for complex data challenges and respond to proposals, showcasing the technical and strategic value of our data solutions. Tools and Utilities Development : Contribute to the creation and enhancement of Data and AI practice tools, accelerators, and utilities to improve efficiency and innovation. Mentorship and Leadership : Guide and mentor junior architects and engineers, fostering a culture of continuous learning and excellence in data management. Qualifications: Minimum 12 years of professional experience in data architecture, with a focus on Azure and familiarity with AWS and GCP. Expertise in the full data lifecycle, including ETL/ELT, data engineering, data warehousing, Lakehouse architecture, and Data Mesh with Microsoft Fabric. Proven ability in BI, visualization, and integrating AI/ML and Generative AI into data solutions. Strong knowledge of MDM, data governance, and compliance with industry standards. Azure certifications and any relevant AI/ML and Generative AI certifications are highly desirable. Outstanding leadership and communication skills, capable of driving strategic data initiatives and fostering cross-departmental collaboration. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field; or equivalent professional experience. Show more Show less