Vice President - Technology

About BluePi

BluePi Consulting partners with organizations to help them achieve higher levels of maturity. Founded in 2012 has today grown to serve several established organizations across India & Australia. Selffunded the organization has its sales offices in Mumbai & Sydney besides its headquarters in Gurgaon. For over a decade BluePi has helped organizations transform their businesses by providing data driven business insights. It specializes in custom data analytics and AI/ML solutions that help drive business outcomes for organizations.

BluePi works with technology partners Amazon Web Services (AWS) Snowflake Google Cloud Platform (GCP) & Databricks.

About the role

The VP Technology is a senior leadership role that oversees the technical vision strategy and delivery of data and analytics solutions for BluePi Consultings clients.

The VP Technology is responsible for leading a team of architects engineers and consultants as well as collaborating with sales marketing and delivery teams to ensure customer satisfaction and business growth.

Within this role you are expected to be a thought leader and an evangelist for BluePi Consultings data and analytics capabilities both internally and externally.

Key Responsibilities

• Define and execute the technical vision strategy and roadmap for data and analytics solutions across various domains and industries.
  
• Lead and mentor a team of architects engineers and consultants to design develop and deliver highquality data and analytics solutions that meet customer requirements and expectations.
  
• Collaborate with sales marketing and delivery teams to provide technical guidance support and solutions for presales proposals demos proofs of concept and project delivery.
  
• Establish and maintain strong relationships with key stakeholders decision makers and influencers at client organizations as well as partners and vendors.
  
• Identify and evaluate new technologies tools frameworks and best practices for data and analytics solutions and ensure their adoption and implementation across the organization.
  
• Represent and promote BluePi Consultings data and analytics capabilities and thought leadership at industry events conferences webinars blogs podcasts and social media.
  
  

Requirements

Qualifications

• Bachelors degree or higher in Computer Science Engineering Mathematics Statistics or related field.
  
• 15 years of experience in IT services with at least 10 years of experience in data and analytics domain.
  
• Proven track record of leading and delivering complex data and analytics solutions for largescale enterprise clients across various domains and industries.
  
• Expertise in data and analytics technologies such as cloud platforms data warehouses data lakes data pipelines data integration data quality data governance data visualization business intelligence machine learning artificial intelligence and big data.
  
• Strong leadership communication presentation and interpersonal skills with the ability to influence and inspire teams and clients.
  
• Strong business acumen analytical skills and problemsolving skills with the ability to understand customer needs and provide innovative and valueadded solutions.
  

Mandatory skills

• Cloud platforms: AWS Azure or GCP
  
• Data warehouses: Snowflake Redshift BigQuery or Synapse
  
• Data lakes: S3 ADLS or GCS
  
• Data pipelines: Airflow Luigi or Prefect
  
• Data integration: Talend Informatica or DataStage
  
• Data quality: Great Expectations Deequ or Databricks Delta Lake
  
• Data governance: Collibra Alation or AWS Glue
  
• Data visualization: Tableau Power BI or Qlik
  
• Business intelligence: Looker MicroStrategy or Cognos
  
• Machine learning: TensorFlow PyTorch or Scikitlearn
  
• Artificial intelligence: AWS SageMaker Azure ML or GCP AI Platform
  
• Big data: Hadoop Spark or Kafka
  
• Programming languages: Python Scala or Java
  

Desirable skills

• Data engineering: Databricks AWS EMR or Azure Databricks
  
• Data science: Jupyter RStudio or Colab
  
• DataOps: MLflow Kubeflow or DVC
  
• MLOps: AWS Sagemaker Pipelines Azure ML Pipelines or GCP Vertex AI Pipelines
  
• DevOps: Git Jenkins or Docker
  
• Agile: Scrum Kanban or SAFe