Role Description The Supervisor Workforce Management Real-Time and Analytics is responsible for 24/7/365 intraday workforce management to ensure optimal alignment between staffing and contact center demand across the Alignment Health enterprise. This role is both leadership as well as tactical supporting a team of Real Time Analysts (RTA) that monitors real-time performance against forecast and staffing plans, identifies variances, and executes immediate corrective actions to achieve service level, ASA, occupancy, and efficiency targets. - Lead and coach the RTA team by supporting real-time operational oversight. - Foster a culture of caring connections, accountability, and service excellence aligned with Alignment’s serving-heart culture. - Set clear performance expectations tied to quality, turnaround time, productivity, compliance, and member satisfaction. - Conduct regular coaching sessions, intraday performance to ensure high standards of service and KPI attainment. - Support onboarding, training, and continuous skill development to strengthen workforce management knowledge and collaboration skills. - Hands-on leader that steps in to support tactical execution as well as leading RTA. - Collaborative with emotional intelligence to engage and influence teams outside of supervisory responsibility. - Ensures team compliance with Alignment policies, CMS regulations, and applicable laws. - Creates a strong culture of engagement, accountability, and professional development. Qualifications - Minimum 8+ years in a contact center environment. - Minimum 5+ years in Workforce Management, Real-Time. - High School Diploma or GED required. - Bachelor’s degree or equivalent experience highly desired (preferred). - WFM or Contact Center related certification (preferred). Requirements - Intraday management and service recovery strategies. - Understanding of Erlang-based staffing principles and interval planning. - Knowledge of key WFM drivers: shrinkage, occupancy, service level, ASA, AHT, forecast accuracy. - Advanced Excel skills (data analysis, pivot tables, trend analysis). - Ability to interpret interval-level performance data and translate insights into operational actions. - Strong problem-solving and decision-making in a high-volume, real-time environment. - Effective communication and collaboration with Operations and WFM partners. - Experience with WFM and telephony platforms (Talkdesk or equivalent). - Shift, Weekend and Holiday coverage support as required. Benefits - Pay Range: $64,384.00 - $96,577.00. - Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.

• Design and build Playbook's data warehouse from the ground up in Dataform or dbt on BigQuery — defining our raw/staging/intermediate/marts architecture, modeling conventions, naming, and testing standards. • Own our ingestion layer — manage and extend our Hevo setup across Stripe, production Postgres (AWS), Mixpanel, GA4, HubSpot, Meta Ads, Google Ads, Ahrefs, PostHog, and new sources as they come. • Establish CI/CD, testing, and data quality practices for the warehouse — environments, automated tests, lineage, freshness checks, and alerting so we can trust what we ship. • Be the Growth team's data partner — turn their questions into production-grade data models, define and codify business metrics (MRR, churn, LTV, CAC, activation, retention, attribution), and make self-serve analytics actually self-serve. • Own, build, and evolve Playbook's creator-facing analytics product — the data layer that powers the metrics and insights creators see inside the platform about their own business performance. • Support product and engineering teams on data-heavy features — partner on data models, pipelines, and metric definitions for features that rely on the warehouse. • Own data requests across the company — triage, prioritize, and either solve them directly or invest in the models that unblock them at scale. • Maintain and evolve our BI layer — making sure dashboards and reports are trustworthy, documented, and built on top of our modeled layer rather than raw tables. • Set the direction for Playbook's data platform — what to build vs. buy, where to invest, and how the stack should evolve as we grow.

Role Description We are currently seeking a DBT/ Snowflake Junior Engineer to join our team in Remote, Karnātaka (IN-KA), India. - Translate Informatica mappings, transformations, and business rules into dbt models (SQL) on Snowflake. - Design and implement staging, core, and mart layers using standard dbt patterns and folder structures. - Develop and maintain dbt tests (schema tests, data tests, custom tests) to ensure data quality and integrity. - Implement snapshots, seeds, macros, and reusable components where appropriate. - Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently. - Work with functional teams to ensure functional equivalence between legacy Informatica outputs and new dbt outputs. - Participate in performance tuning of dbt models and Snowflake queries. - Integrate dbt with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated runs and validations. - Contribute to documentation of dbt models, data lineage, and business rules. - Participate in defect analysis, bug fixes, and enhancements during migration and stabilization phases. Qualifications - 7+ years of experience in Data Engineering / ETL / DW, with 1–3+ years working with dbt (Core or Cloud). - Strong SQL skills, especially on Snowflake or another modern cloud DW. - Experience with dbt concepts: models, tests, sources, seeds, snapshots, macros, exposures. - Prior experience with Informatica (developer-level understanding of mappings/workflows) is highly desirable. - Understanding of CI/CD practices and integrating dbt into automated pipelines. - Knowledge of data modeling (dimensional models, SCDs, fact/dimension design). - Experience working in offshore delivery with onshore coordination. - Good communication skills and ability to read/understand existing ETL logic and requirements documentation. Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - One of the world's leading AI and digital infrastructure providers. - Unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. - Consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. - Global Top Employer with experts in more than 50 countries. - Access to a robust ecosystem of innovation centers as well as established and start-up partners. - Part of NTT Group, which invests over $3 billion each year in R&D.

Role Description We are currently seeking a DBT/Snowflake Junior Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN). - Translate Informatica mappings, transformations, and business rules into dbt models (SQL) on Snowflake. - Design and implement staging, core, and mart layers using standard dbt patterns and folder structures. - Develop and maintain dbt tests (schema tests, data tests, custom tests) to ensure data quality and integrity. - Implement snapshots, seeds, macros, and reusable components where appropriate. - Collaborate with Snowflake developers to ensure physical data structures support dbt models efficiently. - Work with functional teams to ensure functional equivalence between legacy Informatica outputs and new dbt outputs. - Participate in performance tuning of dbt models and Snowflake queries. - Integrate dbt with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automated runs and validations. - Contribute to documentation of dbt models, data lineage, and business rules. - Participate in defect analysis, bug fixes, and enhancements during migration and stabilization phases. Qualifications - 7+ years of experience in Data Engineering / ETL / DW, with 1–3+ years working with dbt (Core or Cloud). - Strong SQL skills, especially on Snowflake or another modern cloud DW. - Experience with dbt concepts: models, tests, sources, seeds, snapshots, macros, exposures. - Prior experience with Informatica (developer-level understanding of mappings/workflows) is highly desirable. - Understanding of CI/CD practices and integrating dbt into automated pipelines. - Knowledge of data modeling (dimensional models, SCDs, fact/dimension design). - Experience working in offshore delivery with onshore coordination. - Good communication skills and ability to read/understand existing ETL logic and requirements documentation. Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. - Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. - As a Global Top Employer, we have experts in more than 50 countries. - We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. - NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.