Job title: Data Strategy and Insights Head
Company: ERNI
Job description: ERNI is a fast-growing Software Development company headquartered and founded in Switzerland in 1994, with more than 800 employees. We are highly specialized in IT & software engineering to enable and deliver innovation in process and technology. Our first service center in Asia Pacific is in Metro Manila (Mandaluyong) from where we provide our service to Europe, APAC incl. our local market Philippines, and USA regions. We are now geared towards expansion and are looking for highly motivated joiners. WHY ERNI is the best place to call HOME ???? ???? This is how we can support you; ALL company PERKS AND BENEFITS take effect UPON HIRING! Permanent Contract: there is always a project and opportunity for you. Private HMO and Insurance Jubilee in 5th year at ERNI (FREE TRAVEL TO ANY SITES IN EUROPE ) Government-Mandated Benefits: inclusive of the 13th-month pay. Personal Development and Travel Opportunities outside the Philippines Birthday Cake Wedding Gift – to celebrate your special day. Baby Basket – to welcome your newborn to the ERNI family. Fruit Basket – boost of vitamins when you’re feeling unwell. Free Snacks and Coffee in the office ???? UNLOCKING NEW DOORS OF GROWTH & OPPORTUNITIES Free Training with Certifications : Grow with us through technical and non-technical training. Challenging Projects: ERNI is dedicated to developing high-quality software in complex technical environments such as MedTech, Industry, Finance, and Transportation. Have the chance to participate in various technically challenging projects amongst passionate and skilled colleagues. Employee Welfare: You will be guided by a group of people who will guide and support you to have the right tools and mindset. Promotions & Recognition: From the very first day, we offer you a way to learn and develop yourself in our company. Your colleagues and superiors consistently recognize and appreciate all efforts, making you feel satisfied with your achievements. Communication: You will find transparency, honesty, and open communication in our working culture. we value suggestions, opinions, and feedback from all employees. FLEXIBILITY Hybrid Set-Up: We are combining both remote work and in-person work. The hybrid setup will allow you to reduce commuting time and have a more flexible work schedule. This will help you to manage better your work-life balance. ???? EVENTS: We provide many opportunities to connect and build relationships. We are learning, growing, and celebrating achievements together. You will experience a wide range of different exciting activities. What to expect Leisure Events, Summer Events, Family Events, Social Events, and Year-End Events. ???? What are our wishes At least 10 years relevant experience Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Solid experience in data engineering, machine learning, or a related field, with a proven track record of delivering high-quality, scalable data solutions preferably within the intricate landscape of the insurance industry. Strong leadership and project management skills, with the ability to lead cross-functional teams and manage complex project and mentoring junior team members. Experience working with big data technologies such as Hadoop, Spark, or Kafka, as well as cloud-based data storage and processing technologies such as AWS, GCP, or Azure. Experience working with machine learning frameworks such as TensorFlow, PyTorch, or Keras. Strong understanding of data warehousing, ETL processes, data modeling, and database design and management. Strong understanding of software engineering principles and practices, including version control, testing, and continuous integration and deployment. Strong understanding of data privacy, security, and governance regulations, and experience implementing security protocols and measures. Strong understanding of statistical analysis and modeling techniques, and experience applying these techniques to solve business problems. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. ???? How can you contribute to the team Work closely with SVP – Transformation to develop and implement a comprehensive strategy for data engineering, machine learning, and operational insight initiatives aligned with the organization’s goals. Transformation to drive data monetization through innovative ‘as-a-service’ models. Define and communicate a clear roadmap for implementing data solutions and machine learning models. Collaborate with cross-functional teams to gather and comprehend business requirements and challenges. Design, develop, and oversee the implementation of data engineering and machine learning solutions that address these challenges effectively. Ensure the integrity, reliability, and security of the organization’s data infrastructure and systems. Establish and maintain data quality standards, validation processes, and data governance practices. Lead, mentor, and inspire a team of data scientists, engineers, and analysts, fostering their growth and professional development. Stay abreast of industry trends, emerging technologies, and best practices in data engineering, machine learning, and operational insight and integrate new knowledge into the organization’s strategies to enhance data-driven decision-making. Lead the end-to-end execution of machine learning projects, from conceptualization to deployment and translate business requirements into actionable data and machine learning solutions. Define project scopes, deliverables, timelines, and resource allocation. Collaborate closely with business stakeholders, ensuring a clear understanding of their needs and priorities. Establish key performance indicators (KPIs) to measure the effectiveness of implemented solutions. Identify and mitigate potential risks related to data privacy, security, and compliance with relevant regulations. Implement rigorous data governance and compliance practices, ensuring adherence to stringent regulatory requirements and implementing robust security measures to safeguard sensitive information throughout the data lifecycle. Prepare and present regular reports on the progress, impact, and outcomes of data engineering and machine learning initiatives. Drive innovation by proposing and experimenting with novel approaches and technologies in data engineering and machine learning.
Expected salary:
Location: Taguig City, Metro Manila
Job date: Sat, 20 Jan 2024 23:13:56 GMT
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