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AI, Big Data & Automation Manager
This position in a nutshell:
This is a senior role that will be leading the AI / Analytics value-driven business transformation across vision, strategy, people, processes, tools & technologies, competencies and capabilities.
He/She will act as a cross-functional business leader / champion in AI / Advanced Analytics, Big Data and Automation solutions, transforming data into decisions in order to create business value.
Main responsibilities and activities:
- Fully accountable for building capabilities needed to analyze data and create meaningful actionable insights and predictions that steer decisions;
- Provides E2E cross-functional leadership for key Data Management functions, specifically Artificial Intelligence / Advanced Analytics (Data Science & ML Engineering), Big Data infrastructure and solutions on top, Automation (Robotic Process Automation, intelligent Business Process Automation, etc.) across Think(strategy, solutions architecture, modelling and practices, design / engineering / operating model, budgeting and projects roadmap execution/delivery), Build/Dev (managing developments and integrations, business analysis, development/coding/integration and testing), Run (operations) and Consume (business usage);
- Partners with product, UX and platform stakeholders to identify/prioritize top AI opportunities, creates business/technical requirements, transforms large volumes of data into AI-driven solutions using creative, cutting edge open source methods/technologies, leads ML strategy and roadmap planning, works across teams and influences the direction of external teams;
- Combines expert AI/ML/Open-source platforms with hands on experience building algorithms / models / programming and outstanding business skills to manage and deliver complex/critical projects driving significant value;
- Coordinates the Consume layer citizen data scientists and corresponding functions in Extended teams, across objectives / priorities sync., roadmap, services delivery and operational model evolution, HR strategy and policies;
- Balances the business’ needs across functional areas in order to prioritize requests under one consolidated governance; act as a mediator aligning the business demands and driving the evolution plan cross-functionally;
Key operational responsibilities:
- Acquires & manages the capabilities needed to drive enterprise innovation, transformation and market-facing competitive advantage through the use of AI & Automation solutions;
- Contributes to building the AI/Analytics, Big Data & Automation architecture and integration ecosystem:
o Works with the business to understand requirements and then how to provide state-of-the-art adapted solutions, fit for purpose, with the proper TTM;
o Expands the use of the unstructured data lake / Big Data infrastructure to cope with the business demand;
o Builds a federated ecosystem of data sources & analytics, incl. partners;
o Enables decision-making near real time at the Analytical layer;
- Drives business optimization and efficiency leveraging an AI / Advanced Analytics Factory as well as Process Automation capabilities:
o Drives internal & customer-centric business processes standardization & simplification, efficiency & effectiveness, leveraging data & analytics;
o Expands the data ecosystem to include context-rich external data, while maintaining the agility needed to spark innovation;
o Deploys and scales up an AI and advanced analytics factory to deliver value use cases generating value and delivering operational efficiency;
o Delivers end to end adapted solutions on time, fit for purpose and co-designed with the business, powered by technology and skills;
o Adds semantic layers to power machine learning applications;
o Builds intelligent process automation capabilities by leveraging RPA and BPM solutions, together with integration capabilities and complexity reduction/simplification on the business side.
- Develops new operational delivery models, embarking agile practices (e.g. DevOps, DataOps and BizDevOps, automated CI-CD pipelines, etc.), where applicable;
- Leads the design, development, and execution of Robotics Process Automation supporting the entire organization in process automation and analytics tools integration;
- Creates automation solutions including but not limited to end-to-end automation of data analytics; improve highly manual, error-prone processes with digital tools.
The ideal candidate needs to have:
Key Technical Skills:
- Highly skilled in the design, development, and validation of descriptive, predictive, prescriptive & applied AI/Analytics solutions
- Proven successful experience in senior hands-on leadership role, directly managing AI/Analytics, Big Data and/or Automation teams, partnering with business executives, and driving change within a large, complex business environment
- Know-how of technical / IT platforms and software solutions related to AI/Analytics, Big Data and Automation
- Understanding of key concepts like the Agile Software Development Lifecycle, Scrum, CI-CD practices, DevOps / DataOps / BizDevOps ways of working and toolkits and telco IS ecosystem (BSS side)
Key Soft Skills:
- Result-driven individual, passionate, highly creative and equipped with analytical skills
- Strategic thinker, working with business top-leaders and executives
- Strong effective communication and collaboration skills (to both business & technical teams), strong presentation skills
- Highly organized, with an ability to work on multiple simultaneous projects (operational delivery) and meet tight deadlines
- Demonstrated prioritization, organizational, analytical, and research skills as well as the ability to conceptualize more complex issues and work on complex processes, procedures or solutions
- Strong leadership to manage the pace of change, being able to move cross-functional groups in a unified direction; inspires trust and confidence, leads by example; track record of developing high potential talents
- Professionalism and ethical behavior
- Strong influencing and persuasion skills, with both internal & external decision-makers
Education & Experience:
- BSc in Computer Science, Data Science, Management Information Systems, Statistics, Analytics or any other related field (or equivalent of the same in working experience); PhD / MBA or other relevant advanced degree, preferred
- Min. 3 years’ experience in a senior AI & Automation leadership role within a fast-paced and complex business setting; hands on experience in building Agile squads for software development and automated CI-CD pipelines
- Extensive experience with AI architectures, advanced ML techniques (e.g., neural networks/deep learning, reinforcement learning, Natural Language Processing, SVM, PCA, etc.)
- Experience working on or managing projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams
- Significant development experience (e.g., C/C++, Java, SQL, Python, and multi-threaded programming)
- Experience with Hadoop stack (Hive, Pig, Hadoop streaming), MapReduce and Spark
- Experience designing, testing and implementing robotic process automation tools
We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.
Număr Post: GKAX917734
Dată limită: 24/07/2019
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