Vice President

2 weeks ago

Gurgaon, Haryana, India BluePi Consulting Private Limited Full time

AboutBluePi

BluePiConsulting partners with organizations to help them achieve higherlevels of maturity. Founded in 2012 has today grown to serveseveral established organizations across India & Australia.Selffunded the organization has its sales offices in Mumbai& Sydney besides its headquarters in Gurgaon. For over adecade BluePi has helped organizations transform their businessesby providing data driven business insights. It specializes incustom data analytics and AI/ML solutions that help drive businessoutcomes fororganizations.

BluePiworks with technology partners Amazon Web Services (AWS) SnowflakeGoogle Cloud Platform (GCP) &Databricks.

Abouttherole

TheVP Technology is a senior leadership role that oversees thetechnical vision strategy and delivery of data and analyticssolutions for BluePi Consultingsclients.

TheVP Technology is responsible for leading a team of architectsengineers and consultants as well as collaborating with salesmarketing and delivery teams to ensure customer satisfaction andbusinessgrowth.

Withinthis role you are expected to be a thought leader and an evangelistfor BluePi Consultings data and analytics capabilities bothinternally andexternally.

KeyResponsibilities

  • Defineand execute the technical vision strategy and roadmap for data andanalytics solutions across various domains andindustries.
  • Leadand mentor a team of architects engineers and consultants to designdevelop and deliver highquality data and analytics solutions thatmeet customer requirements andexpectations.
  • Collaboratewith sales marketing and delivery teams to provide technicalguidance support and solutions for presales proposals demos proofsof concept and projectdelivery.
  • Establishand maintain strong relationships with key stakeholders decisionmakers and influencers at client organizations as well as partnersandvendors.
  • Identifyand evaluate new technologies tools frameworks and best practicesfor data and analytics solutions and ensure their adoption andimplementation across theorganization.
  • Representand promote BluePi Consultings data and analytics capabilities andthought leadership at industry events conferences webinars blogspodcasts and socialmedia.


Requirements

Qualifications

  • Bachelorsdegree or higher in Computer Science Engineering MathematicsStatistics or relatedfield.
  • 15years of experience in IT services with at least 10 years ofexperience in data and analyticsdomain.
  • Proventrack record of leading and delivering complex data and analyticssolutions for largescale enterprise clients across various domainsandindustries.
  • Expertisein data and analytics technologies such as cloud platforms datawarehouses data lakes data pipelines data integration data qualitydata governance data visualization business intelligence machinelearning artificial intelligence and bigdata.
  • Strongleadership communication presentation and interpersonal skills withthe ability to influence and inspire teams andclients.
  • Strongbusiness acumen analytical skills and problemsolving skills withthe ability to understand customer needs and provide innovative andvalueaddedsolutions.

Mandatoryskills

  • Cloudplatforms: AWS Azure orGCP
  • Datawarehouses: Snowflake Redshift BigQuery orSynapse
  • Datalakes: S3 ADLS orGCS
  • Datapipelines: Airflow Luigi orPrefect
  • Dataintegration: Talend Informatica orDataStage
  • Dataquality: Great Expectations Deequ or Databricks DeltaLake
  • Datagovernance: Collibra Alation or AWSGlue
  • Datavisualization: Tableau Power BI orQlik
  • Businessintelligence: Looker MicroStrategy orCognos
  • Machinelearning: TensorFlow PyTorch orScikitlearn
  • Artificialintelligence: AWS SageMaker Azure ML or GCP AIPlatform
  • Bigdata: Hadoop Spark orKafka
  • Programminglanguages: Python Scala orJava

Desirableskills

  • Dataengineering: Databricks AWS EMR or AzureDatabricks
  • Datascience: Jupyter RStudio orColab
  • DataOps:MLflow Kubeflow orDVC
  • MLOps:AWS Sagemaker Pipelines Azure ML Pipelines or GCP Vertex AIPipelines
  • DevOps:Git Jenkins orDocker
  • Agile:Scrum Kanban orSAFe


Qualifications- Bachelor's degree or higher in Computer Science,Engineering, Mathematics, Statistics, or related field. 15+ yearsof experience in IT services, with at least 10 years of experiencein data and analytics domain. Proven track record of leading anddelivering complex data and analytics solutions for large-scaleenterprise clients across various domains and industries. Expertisein data and analytics technologies, such as cloud platforms, datawarehouses, data lakes, data pipelines, data integration, dataquality, data governance, data visualization, businessintelligence, machine learning, artificial intelligence, and bigdata. Strong leadership, communication, presentation, andinterpersonal skills, with the ability to influence and inspireteams and clients. Strong business acumen, analytical skills, andproblem-solving skills, with the ability to understand customerneeds and provide innovative and value-added solutions. Mandatoryskills- Cloud platforms: AWS, Azure, or GCP Data warehouses:Snowflake, Redshift, BigQuery, or Synapse Data lakes: S3, ADLS, orGCS 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 Businessintelligence: Looker, MicroStrategy, or Cognos Machine learning:TensorFlow, PyTorch, or Scikit-learn Artificial intelligence: AWSSageMaker, Azure ML, or GCP AI Platform Big data: Hadoop, Spark, orKafka Programming languages: Python, Scala, or Java Desirableskills- Data engineering: Databricks, AWS EMR, or Azure DatabricksData science: Jupyter, RStudio, or Colab DataOps: MLflow, Kubeflow,or DVC MLOps: AWS Sagemaker Pipelines, Azure ML Pipelines, or GCPVertex AI Pipelines DevOps: Git, Jenkins, or Docker Agile: Scrum,Kanban, or SAFe

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