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Manager, Technology - Data, Analytics & AI
Pottery BarnIndia3 hours ago
Job descriptionCreate the conditions for sustainable high performance : clear direction, strong collaboration, and career Enable the team to turn business problems into robust solutions and actionable insights while maturing practices, Manage, coach, and develop a high-performing team (hiring, goal setting, feedback, growth planning). Partner with Tech Leadership, Product, and Business stakeholders to convert requirements into scalable data Participate in the development of the technical vision for your team including contributing to the long-term roadmap. Drive data quality, governance, documentation, lineage, and metric definitions; reduce redundancy. Set and enforce engineering and analytics best practices (coding standards, version control, peer review, CI / CD, Escalate and resolve complex technical and data issues; remove delivery blockers. Closely monitor status, identify and predict risks. Provide meaningful and actionable insights on progress. Manage project forecast and spending. 8+ years in data engineering / BI / analytics, including 3+ years directly managing teams. 2+ years of working Bachelor’s in Computer Science / Applications, Engineering, Information Technology / Systems, or equivalent Proven delivery of scalable data platforms and BI solutions in cloud (Azure preferred). Expertise with SQL, ELT / ETL patterns, dimensional & semantic modeling. Experience with Snowflake, Databricks, Data Factory, Oracle. Working knowledge of Python, Spark, Scala, and streaming technologies a huge plus. Strong BI development (Power BI and / or MicroStrategy) and performance tuning. Demonstrated governance : data quality frameworks, metadata, metric standardization. Solid grasp of software engineering practices (testing, code review, automation, DevOps). Excellent stakeholder management; able to translate between business and technical contexts. Track record of talent development and building collaborative, inclusive teams. Clear written and verbal communication; executive presentation capability. Team Health : Low regrettable attrition. Delivery Predictability : ≥80% of committed quarterly objectives delivered without quality regressions. Talent Growth : Documented progression for each team member; internal promotions / expanded scope. Operational Maturity : Reduction in unplanned urgent work and data incident frequency; improved cycle time. Stakeholder Trust : Positive satisfaction feedback (clarity, responsiveness, value realized). Adoption & Impact : Growth in usage of certified data products / dashboards and measurable business decisions
Role : Manager, Technology - Data, Analytics & AI
Summary
In this exciting role, you would :
- Own the health, performance, and growth of a multidisciplinary Data, Analytics & AI domains and Engineering team
(of Data / BI / ML Engineers and Analysts).
development.
processes, and talent.
Key Responsibilities
models, pipelines, semantic layers, and dashboards.
automated testing) while building an outcome / impact-based culture.
REQUIREMENTS AND QUALIFICATIONS
experience with ML & Data Science is a plus.
experience. Masters in any of these areas is a plus.
Typical Success Metrics
influenced
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Technology Manager • India
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