Consulting Technical Manager

Key Skills

Algorithms, Apache Hadoop, Apache Kafka, Data Architecture, Data Warehousing, Machine learning techniques, MATLAB Programming, MLOps tools, NumPy, Python Programming, R Programming, Scala Programming, Spark-SQL

Job Description

Data Scientists must have a solid understanding of tools and languages such as Python, R, along with the overall data platform at an enterprise level with data lakes, analytics, and data science and the value of those solutions to the business. Data Scientists will engage with customers to discover business problems and goals, and develop solutions using AI/ML techniques. Work collaboratively with the customer to document the current state architecture, design the future state, and develop a path for cloud digital transformation trough data science.

We are looking for team members who can develop and deliver high-quality presentations, demonstrations, and solutions to multiple lines of business and management levels, which clearly articulate the value of Data Science solutions.

Experience in Analytics/Data science tools and a good understanding of the leading products in the industry are required along with passion, curiosity, technical depth, and exceptional communication/presentation skills.

Responsibilities

 As a specialist, provide technical proof points or drive proof of value to the customer with Data Science Solutions.

• Maintain mastery of the Oracle portfolio and intimate knowledge of industry trends, multidiscipline design patterns, development/deployment methodologies, and competitive cloud offerings while evangelizing solutions.
• Be a trusted advisor to the customers. Develop and present business cases, industry trends, competitive differentiators, in alignment with the go-to-market product and solution strategy.
• Hands-on development of solutions, demos, POCs, using Data Science techniques to meet the customer’s success measures
• Achieve desired results through planning, risk management, stakeholder management, conflict resolution, governance, team management, and ownership of the solutionings’ lifecycle
• Be agile and maintain a sense of urgency and a realistic view of time (urgent patience) throughout an extended customer engagement.
• Inspire confidence and quickly establish connection, credibility, trust, and influence with customer executives to developer
• Exercise creativity, independent judgment, and business acumen in selecting methods and techniques to design non-routine and elegant business solutions utilizing Oracle products and technology to meet customer needs
• Influence customer strategy, architecture, roadmap, and migration planning workshops spanning business, applications, information, and technology domains
• Maintain relevant expert-level competency across the data ecosystem – Data Lakes, Advanced Analytics, and Data Science.

Desired Qualifications / Skills:

• 5+ years of total experience in Consulting or Sales/Solution Engineering or with product development.
• 3-5 years of proven domain knowledge of Data Science and big data ecosystems. Domain knowledge includes Python, R, Scala, Spark, Kafka, Hadoop, AI/ML, NoSQL, Cloud data architecture, etc.
• Demonstrated ability to own the customer relationship and drive their success in focus areas such as Data Science, Data Lakes & Data Warehouses enablement.
• Experience enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity of data used for analysis.
• Experience in ad-hoc analysis and presenting results in a clear manner. Creating automated anomaly detection systems and tracking its performance
• Good applied statistics skills, such as distributions, statistical testing, regression, maximum likelihood estimators etc. Should possess relevant knowledge in Linear algebra and Multivariable Calculus.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, etc. Should have worked in EDA process, Data Wrangling / Data Preprocessing, Feature Selection etc.
• Experience with common data science toolkits, such as Python, R, Scala, NumPy, MatLab, etc.
• Proven expertise in creating detailed technical architectures and product solutions for specified needs. Solution sizing/costing and configuration.
• Should have idea/working experience with MLOps
• Ability to interact with all customer roles such as IT Architects, technical staff and business uses.
• A balance of strategic and tactical skills, with a high level of intellectual agility and capacity for original thought.
• A proven ability to navigate and effectively collaborate with other groups and resources in a large complex environment.
• Good to have working experience in Oracle’s Financial Services Analytical Application (OFSAA) and in Financial Crime and Compliance domain - Anti Money Laundering, Fraud, KYC, Name Screening etc.

Responsibilities

Analyzes business needs to help ensure Oracle solution meets the customer’s objectives by combining industry best practices, product knowledge, and business acumen. Exercises judgment and business acumen in selecting methods and techniques to deliver functional and technical solutions on non-routine and very complex aspects of applications and technology installations. Provides direction and mentoring to project teams, and effectively influences customer leadership on key decisions. Supports the business development efforts by pursuing new opportunities and extensions. Collaborates with the consulting sales team by providing domain expertise. Resolves complex customer issues by recommending and implementing solutions. Demonstrates expertise in multiple business processes across two or more product families or ability to architect and design technology solutions encompassing multiple products and make decisions based on impact across the stack.

#LI-DNI 

Required Skills

Ability to communicate effectively Python (Programming Language)

About Us

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