7 Scorecards Jobs

As Manager - Center Operations, your primary responsibility is to establish clarity, consistency, and operational excellence throughout the gym network by empowering the city and cluster teams. Your focus will be on driving visibility, accountability, and process adoption through the implementation of systems, toolkits, reporting mechanisms, and structured governance. This role does not involve sales activities but rather emphasizes process rigor, systemization, and providing support to the network. It is well-suited for individuals who possess a deep understanding of frontline fitness operations but are inclined towards building and facilitating operational delivery. Key Responsibilities: Operational Governance & Process Clarity: - Define and implement Standard Operating Procedures (SOPs) across all gym functions including front desk operations, Personal Training (PT), trials, hygiene protocols, etc. - Conduct regular audits (both physical and virtual) to ensure adherence to established processes. - Develop operational playbooks for field teams to streamline operations. Center & Cluster Visibility: - Establish and manage dashboards, scorecards, and exception trackers to offer insights into operational performance metrics such as attendance, trial conversions, PT utilization rates, hygiene audits, and escalations. - Collaborate with Tech/Product teams to enhance and deploy operational dashboards or tools. Rhythm of Business & Reviews: - Coordinate the operations calendar which includes reviews, audits, closures, and feedback loops. - Support city and cluster leads in executing effective governance rituals. - Monitor and ensure the implementation of agreed-upon actions, serving as the operations conscience of the organization. Field Support & Capability Building: - Assist in the onboarding process of new Cluster Managers and Center Managers. - Act as a resource for troubleshooting processes and handling operational escalations. - Encourage the sharing of best practices across the network. Projects & Enablers: - Lead time-bound improvement projects such as reducing Turnaround Time (TAT), revamping hygiene standards, and optimizing trial conversion funnels. - Collaborate with departments like HR, Tech, Facilities, and Customer Experience to address systemic gaps. Ideal Candidate Profile: - Possess more than 4 years of experience in business operations, central ops, or field enablement roles. - Background in fitness, retail, Food & Beverage (F&B), or hospitality chains is preferable. - Proficient in Google Sheets, Excel, dashboard creation, and reporting tools. - Strong analytical skills, structured approach, and ability to navigate through ambiguity. - Experience in managing governance processes involving multiple stakeholders. - Effective communicator who can influence outcomes through collaboration rather than authority.,

As a Technical Product Manager for the internal Observability & Insights Platform, you will play a crucial role in defining the product strategy, overseeing discovery and delivery, and ensuring that engineers and stakeholders across 350+ services can effectively build, debug, and operate with confidence. Your responsibilities will include owning and evolving a platform encompassing logging (ELK stack), metrics (Prometheus, Grafana, Thanos), tracing (Jaeger), structured audit logs, and SIEM integrations, while competing with high-cost solutions like Datadog and Honeycomb. Your impact will be both technical and strategic, with a focus on enhancing developer experience, reducing operational noise, and driving platform efficiency and cost visibility. Key Deliverables: - Successfully manage and deliver initiatives from the Observability Roadmap / Job Jar, tracked via RAG status and Jira epics. - Conduct structured discoveries for upcoming capabilities such as SIEM exporter, SDK adoption, and trace sampling. - Design and implement scorecards in Port to measure observability maturity across teams. - Ensure feature parity and stakeholder migration in cost-saving initiatives like Datadog and Prometheus. - Track and report platform usage, reliability, and cost metrics aligned with business outcomes. - Drive feature documentation, adoption plans, and enablement sessions across engineering. Jobs To Be Done: - Define and evolve the observability product roadmap covering Logs, Metrics, Traces, SDK, Dashboards, and SIEM. - Lead dual-track agile product discovery for upcoming initiatives, gathering context, defining problems, and validating feasibility. - Collaborate with engineering managers to break down initiatives into quarterly deliverables, epics, and sprint-level execution. - Maintain the Observability Job Jar and present RAG status every 2 weeks with confidence supported by Jira hygiene. - Define and track metrics to measure the success of each platform capability including SLOs, cost savings, and adoption percentage. - Collaborate closely with FinOps, Security, and Platform teams to ensure observability aligns with cost, compliance, and operational goals. - Promote the adoption of SDKs, scorecards, and dashboards through enablement, documentation, and evangelism. Ways Of Working: - Operate in dual-track agile mode, discovering next quarter's priorities while delivering the current quarter's committed outcomes. - Maintain a GPS PRD (Product Requirements Doc) for each major initiative, defining the problem, rationale, and value measurement. - Collaborate deeply with engineers in backlog grooming, planning, demos, and retrospectives. - Follow RAG-based reporting with stakeholders, escalating risks early and presenting mitigation paths clearly. - Operate with full visibility in Jira, driving delivery rhythm across sprints. - Use quarterly Job Jar reviews to recalibrate product priorities, staffing needs, and stakeholder alignment. Requirements: - 10+ years of product management experience, preferably in platform/infrastructure products. - Demonstrated success in managing internal developer platforms or observability tooling. - Experience in launching or migrating enterprise-scale telemetry stacks like Datadog, Prometheus/Grafana, Honeycomb, Jaeger. - Ability to translate complex engineering requirements into structured product plans with measurable outcomes. - Strong technical background in cloud-native environments such as EKS, Kafka, Elasticsearch. - Excellent documentation and storytelling skills, especially to influence engineers and non-technical stakeholders. Success Metrics: - Reduction in Datadog/Honeycomb usage & cost post migration. - Uptime & latency of observability pipelines (Jaeger, ELK, Prometheus). - Scorecard improvement across teams (Bronze, Silver, Gold). - Number of issues detected/resolved using the new observability stack. - Time to incident triage with new tracing/logging capabilities.,

The role you are applying for is a strategic hands-on position with a multi-dimensional focus on organizational design, process redesign, metrics design, benchmarking, program management, governance, and leading change management initiatives to drive business and/or process transformation by leveraging technology. Your responsibilities will include having a strong understanding of business operations transition metrics, baseline, and governance, along with proven expertise in leading process transitions and transformation programs across enterprise or multiple functions. You will be tasked with organizational process mapping, tracing dependencies, facilitating workshops, conducting root cause analysis, and identifying improvement opportunities. Additionally, you will collaborate to define and drive organization change management roadmaps, mentor sub-workstream leads, design performance monitoring dashboards, manage program governance, and prepare progress reports for leadership. To excel in this role, you should have at least 15 years of relevant multi-functional experience in Tier 1 IT Services/Process Management firm, Consulting, or Fortune 500 Company. A proven track record in leading large change management operational/process transitions and transformation programs is essential. You should also possess knowledge and experience in process reengineering, program management, and delivering business impact through continuous improvement projects. Preferred certifications include Black Belt certification (MBB is a plus) and PMP certification. Your role will involve stakeholder management on enterprise-wide initiatives, liaising with the Cognizant Application Services team, and designing, planning, tracking, and monitoring the rollout of corporate systems aligned with business requirements. If you meet these qualifications and are looking to make a significant impact through your expertise in change management, process transitions, and transformation programs, this role could be an excellent fit for you.,

As a BI Developer, you will be responsible for building, implementing, and supporting SSRS, SSIS, and Power BI solutions. Your role involves logical design, physical design, implementation, testing, and deployment of BI projects. Understanding complex business problems and implementing secure, scalable, robust, and easy-to-maintain product features are key aspects of this position. You will take full ownership of product features, providing bug fixes, writing tests, and ensuring they work well at cloud scale. Your contributions will be utilized by users of Top 100 Global enterprises. Out-of-the-box thinking for work optimization and providing best-in-class solutions will be expected from you. Being self-motivated to understand requirements with limited guidance, develop product features, and comprehend the impact of feature changes on the overall product are essential qualities for this role. Qualifications: - Minimum of 2 years of experience in SSRS, SSIS, and Power BI. - Proficiency with the Microsoft BI stack, Azure, and exposure to SQL Server database. - Hands-on experience with SSRS, relational databases, and strong SQL language. - Expertise in performance tuning of reporting queries and writing Tablix/matrix SSRS reports. - Knowledge of Power BI development and deployment. - Experience in SSIS development and architecture design for complex systems. - End-to-end implementation experience in Business Intelligence projects, particularly in scorecards, KPIs, reports & dashboards, SSIS Packages. - Excellent verbal and written communication skills. Responsibilities: - Building, implementing, and supporting SSRS, SSIS, and Power BI solutions. - Logical design, physical design, implementation, testing, and deployment of BI projects. - Understanding complex business problems and implementing secure, scalable, robust, and easy-to-maintain product features. - Taking full ownership of product features, providing bug fixes, and ensuring they work well at cloud scale. - Utilizing out-of-the-box thinking for work optimization and providing best-in-class solutions. - Being self-motivated to understand requirements, develop product features, and comprehend the impact of feature changes on the overall product. About Us: Icertis is the global leader in AI-powered contract intelligence, revolutionizing contract management with powerful insights and automation to drive revenue, control costs, mitigate risk, and ensure compliance. Trusted by more than one third of the Fortune 100 in over 90 countries, Icertis helps realize the full potential of millions of commercial agreements. About The Team: At Icertis, we are committed to being the contract intelligence platform of the world, guided by our FORTE values - Fairness, Openness, Respect, Teamwork, and Execution. Our dedication to contract intelligence shapes our interactions with employees, customers, partners, and stakeholders, emphasizing the importance of our journey as much as our destination.,

Key Responsibilities: Develop and maintain business rules, scorecards, and decision flows using FICO Blaze Advisor . Translate business requirements into decision tables, trees, and rule flows within Blaze. Collaborate with risk and business teams to implement rule logic based on credit policies and compliance standards. Perform unit testing, integration testing, and support user acceptance testing (UAT). Optimize rules and maintain performance of Blaze deployments in production environments. Integrate Blaze Advisor with external systems via APIs, web services, or batch jobs. Maintain proper documentation of rules logic, rule versions, and technical specifications. Troubleshoot production issues related to Blaze logic or integration failures. Participate in code reviews and ensure adherence to software development best practices. Work in Agile/Scrum environments to deliver high-quality decisioning solutions on time. Required Skills and Qualifications: Bachelor's degree in Computer Science, Engineering, or related technical field. 38 years of experience in software development, with at least 25 years of hands-on experience in FICO Blaze Advisor . Proficient in Java , J2EE , XML , and SOAP/REST APIs . Strong understanding of decisioning systems , credit risk management , or loan origination platforms. Experience integrating Blaze with core banking systems , LOS , or fraud detection platforms . Good understanding of rule management concepts, versioning, and governance.

You should have a minimum of 8 years of experience as a Power BI Developer with at least 7 years to 12 years of total experience. Your role will involve hands-on experience in handling teams and clients. You should possess expert knowledge in using advanced calculations in MS Power BI Desktop, including DAX languages such as Aggregate, Date, Logical, String, and Table functions. Prior experience in connecting Power BI with both on-premise and cloud computing platforms is required. A deep understanding and the ability to utilize and explain various aspects of relational database design, multidimensional database design, OLTP, OLAP, KPIs, Scorecards, and Dashboards are essential for this role. You should have a very good understanding of Data Modeling Techniques for Analytical Data, including Facts, Dimensions, and Measures. Experience in data warehouse design, specifically dimensional modeling, and data mining will be beneficial for this position. Additionally, hands-on experience in SSIS, SSRS, and SSAS will be considered a plus.,

Job Overview: We are seeking an experienced Senior Data Analyst with 3-6 years of experience in Risk Modeling and Insurance Analytics. The ideal candidate should have hands-on expertise in SAS, SAS Viya, and SQL, along with a strong background in Life Insurance products and risk modeling. This is a full-time, office-based role in Mumbai, requiring close collaboration with cross-functional teams to develop risk models, deliver scorecards, and drive data-driven decision-making. Key Responsibilities: 1. Apply expertise in the Indian Insurance market to develop risk models and predictive analytics solutions. 2. Utilize SAS, SAS Viya, and SQL for data modeling, analysis, and reporting. 3. Develop and implement risk modeling strategies with measurable business impact. 4. Leverage deep knowledge of Life Insurance products and processes to design analytics solutions. 5. Manage and deliver analytics projects within deadlines while ensuring accuracy and quality. 6. Work on large datasets to identify key risk factors, customer behavior trends, and business insights. 7. Develop and implement scorecards, propensity models, and predictive analytics frameworks. 8.Collaborate with stakeholders to align analytics initiatives with business objectives. Desired Candidate Profile: a. Bachelors degree in Computer Science, Statistics, Mathematics, or related fields. b. 3-6 years of proven experience in data analytics, particularly in BFSI/Insurance domains. c. Strong expertise in SAS & SQL (mandatory); Python is a plus. d. Hands-on experience in risk modeling, scorecards, and propensity models. e. Advanced proficiency in Microsoft Excel for data analysis and reporting. f. Excellent problem-solving skills and attention to detail. g. Strong communication and stakeholder management abilities. h. Experience in handling large datasets and delivering high-quality analytics solutions. Preferred Skills: a. Experience in financial risk modeling, credit risk, or fraud analytics. b. Exposure to AI/ML techniques for insurance analytics is a plus. c. Knowledge of data visualization tools like Power BI or Tableau is advantageous.