Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!
Our Values
Best Life
We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.
Growth Mindset
We are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.
One Team
From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.
This role requires working from our Hyderabad office 2-3 days a week
What You Will Do
Lead distributed Data Quality, Reporting QA, Application QA, and automation teams across India and the USA.
Define and own the Insights-wide quality operating model, standards, governance, and release gates.
Establish automated validation for data completeness, accuracy, freshness, reconciliation, referential integrity, duplication, and anomaly detection.
Lead quality strategy for Financial Data Mart and CMDM modernization, including Databricks, Synapse, Power BI, row-level security, workspace synchronization, and customer rollouts.
Govern testing across the full release lifecycle: data pipelines, semantic models, reports, application workflows, APIs, embeds, scheduling, and production monitoring.
Expand automated test frameworks using Playwright, Cucumber, TypeScript, Python, SQL, and CI/CD pipelines.
Partner with Data Engineering, BI, Application Engineering, Product, Support, and SRE teams to resolve systemic quality issues.
Use production-quality signals such as report load time, refresh failures, data incidents, defect escape rate, and customer-impact trends to prioritize improvements.
Build talent across India and the USA through hiring, coaching, mentoring, succession planning, and consistent performance management.
Create effective follow-the-sun operating practices with clear ownership, handoffs, escalation paths, and shared documentation.
AI & Quality Engineering Leadership
Make AI a practical, measurable part of the quality strategy by:
Driving AI-assisted test-case generation, test maintenance, and regression prioritization.
Building intelligent defect triage, routing, root-cause investigation, and ticket-drafting workflows.
Applying anomaly detection and AI-assisted reconciliation to data pipelines and reporting outputs.
Using AI agents and natural-language workflows to improve quality operations while preserving human approval for consequential decisions.
Defining evaluation standards for AI outputs, including accuracy, consistency, explainability, hallucination risk, business-rule compliance, and drift.
Establishing guardrails for privacy, security, auditability, model governance, and safe use of enterprise data.
What You Will Need
Significant experience leading QA, Data Quality, Data Engineering QA, BI QA, or Quality Engineering teams.
Experience managing distributed teams across multiple geographies and time zones.
Strong SQL expertise for data validation, reconciliation, troubleshooting, and test-data preparation.
Hands-on experience with Databricks and modern data-platform testing.
Experience with Azure Data Factory, Synapse, or comparable data-pipeline platforms.
Strong Power BI experience, including paginated reports, semantic models, row-level security, workspaces, refreshes, exports, and report validation.
Demonstrated experience designing quality automation strategies across data, reporting, APIs, and applications.
Strong AI, Generative AI, or machine-learning experience applied to software quality, data quality, analytics, or engineering…