Sr. Business Manager, Software Operations & Analytics

Teknik, data och digitalt · Data, AI och analys · Dataanalys · Business intelligence · Mjukvaruutveckling

I korthet

We are looking for a Sr. Business Manager to lead software analytics and insights, driving growth and operational performance through AI-enabled business intelligence. This role involves developing analytics frameworks, leading a high-performing team, and partnering with cross-functional teams to translate complex data into actionable recommendations.

Ansvarsområden

  • Develop and own analytics frameworks to measure software business performance.
  • Identify emerging trends, growth opportunities, and business risks through advanced analytics.
  • Lead, develop, and retain a high-performing analytics team.
  • Explore business drivers, evaluate outcomes, and use data to assess the impact of decisions.
  • Drive the adoption of AI and advanced analytics solutions for forecasting and insight automation.
  • Own executive reporting, dashboard development, and KPI frameworks.
  • Build a deep understanding of software business operations and data ecosystems.
  • Serve as a trusted advisor proposing innovative analytical approaches.
  • Partner with Software Operations, Go-to-Market, Product Management, Sales, Finance, IT, and Global Analytics teams.
  • Communicate complex analytical findings clearly to technical and non-technical audiences.
  • Collaborate with analytics leaders to develop enterprise data products.
  • Support and influence key business decisions with timely, accurate analysis.

Krav

  • Bachelor's degree in Engineering, Business, Analytics, Data Science, Information Systems, or a related field.
  • Experience leading analytics, business operations, software business performance, product management, business development, or related functions.
  • Experience building, leading, coaching, and developing analytics teams.
  • Strong expertise in business intelligence and visualization tools such as Power BI or Tableau.
  • Proven ability to organize, analyze, and interpret large and complex datasets from multiple sources.
  • Strong stakeholder management skills.
  • Demonstrated success working across cross-functional teams and influencing decisions at multiple organizational levels.
  • Advanced analytical, problem-solving, and critical-thinking capabilities.
  • Strong proficiency in Microsoft Excel, PowerPoint, and Word.
  • Ability to prioritize competing demands and deliver high-quality outcomes.
  • Experience presenting insights and recommendations to senior leaders.
  • Flexibility to collaborate effectively across global regions and time zones.
  • Ability to leverage AI tools responsibly to increase productivity and support decision-making.

Önskade kvalifikationer

  • Master's degree in Business Administration, Analytics, Data Science, Engineering, or a related field.
  • Experience supporting software, SaaS, subscription, licensing, or technology-focused business models.
  • Knowledge of modern data platforms and analytical technologies such as Snowflake, DBT, Qubole, Hive, Spark, Presto, Python, or R.
  • Experience implementing reporting automation, data governance frameworks, and metric standardization initiatives.
  • Familiarity with forecasting models, predictive analytics, and AI-enabled business intelligence solutions.
  • Experience partnering closely with Finance, Sales, Product Management, Operations, and Technology functions in a global organization.
  • Track record of driving organizational adoption of data-driven decision-making practices.

Förmåner

  • Inclusive workplace where every employee feels valued, respected, and empowered.
  • Investment in growth and development through meaningful work, learning opportunities, mentoring, and career development programs.
  • Prioritization of collaboration, integrity, innovation, and continuous improvement.
#Software Operations#Analytics#Business Intelligence#AI#Generative AI#Leadership#Reporting#Data Analysis
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Företag

Emerson

Publicerade jobb

för 2 veckor sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Erfarenhetsnivå

Mellannivå

Platser

Bengaluru, India

Kvalifikation

Kandidatexamen, Masterexamen

Sökande

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