Manager technology

3 days ago

Pune, India Williams-Sonoma, Inc. Full time

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. • Bachelor’s 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 Micro Strategy) and performance tuning. • Demonstrated governance: data quality frameworks, metadata, metric standardization. • Solid grasp of software engineering practices (testing, code review, automation, Dev Ops). • 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.

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