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WILLIAMS-SONOMA - Technology Manager - Data Analytics

WILLIAMS-SONOMA - Technology Manager - Data Analytics

WILLIAMS-SONOMA INDIA PRIVATE LIMITEDHyderabad
25 days ago
Job description

Role : Manager, Technology Data, Analytics & AI.

Job Location : Pune / Hyderabad (Hybrid).

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).
  • Create the conditions for sustainable high performance : clear direction, strong collaboration, and career development.
  • Enable the team to turn business problems into robust solutions and actionable insights while maturing practices, processes, and talent.

Key Responsibilities :

  • 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 models, pipelines, semantic layers, and dashboards.
  • 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, automated testing) while building an outcome / impact-based culture.
  • 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.
  • REQUIREMENTS AND QUALIFICATIONS :

  • 8+ years in data engineering / BI / analytics, including 3+ years directly managing teams.
  • 2+ years of working experience with ML & Data Science is a plus.
  • Bachelors in Computer Science / Applications, Engineering, Information Technology / Systems, or equivalent experience.
  • Masters in any of these areas is a plus.
  • 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.
  • Typical Success Metrics :

  • 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 influenced.
  • (ref : hirist.tech)

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