Senior Manager - Data Science

How is this Team contributing to the vision of Providence: We, at Enterprise Services, the healthcare consulting and services arm of Providence India, help build technology solutions that modernize and simplify each step of the healthcare delivery process. And we do that by putting the patient and the provider at the centre of everything we do. Using the most promising and practical ideas, combined with the experience and expertise from people from the healthcare industry, we are creating experiences that work for care facilities, their patients and move us ahead on our mission of “Health for a better world “ What will you be responsible for? We are looking for an analytics manager to join our growing team of data analytics experts and manage the processes and people responsible for accurate data collection, processing, modeling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. The Analytics Manager will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modeling, predictive modeling, and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units. What would your day look like?

• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Recruit, train, develop and supervise analyst-level employees.
• Developing machine learning models leveraging Gen AI, Deep learning, and algorithms
• Fine-tuning of Large Language Models (GPT/ PaLM/ Llama) to meet specific business requirements.
• Develop and implement machine learning models using a variety of techniques (supervised and unsupervised learning models including NLP, Deep learning Models, and Predictive Analytics)
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization, and communication deliverables.
• Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.
• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience writing advanced Python code statements, models, and macros.
• Experience working with and creating databases and dashboards using all relevant data to inform decisions.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Strong ability to plan and manage numerous processes, people, and projects simultaneously.
• Excellent communication, collaboration, and delegation skills.
• We’re looking for someone with at least 9-11 years of experience in a position monitoring, managing, manipulating, and drawing insights from data, and someone with at least 5+ years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs:
• Extensive experience with machine learning algorithms and ability to apply them in supervised and un-supervised settings such as NLP, classification, and predictive analytics
• Experience working with Gen-AI, expertise in fine-tuning transformer-based models / LLMs- GPT, Llama, PaLM, BERT and RAG models.
• Proven track record in developing and deploying AI models in the cloud and API integration for models
• Strong programming skills in languages such as Python, SQL, TensorFlow, PyTorch, Keras
• Over 3 years experience working with FHIR data and a good understanding of US healthcare
• Experience with Different databases (SQL, Cosmos DB, Snowflakes,) and handling Unstructured data.
• Experience with big data tools: Teradata, Big Hadoop, etc.
• Experience with data visualization tools: Qliksense, Power BI, Raw, chart.js, etc.
• Experience with Adobe Analytics and other analytics tools
• Experience with Excel, Word, and PowerPoint