Position Description

Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team - a

Basic Qualifications

• Minimum of seven years' post-secondary education or relevant work experience

Additional Qualifications and Skills

Other Required Qualifications:

• Minimum of seven years' post-secondary education or relevant work experience designing and implementing big data and machine learning solutions.
• Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.

Other Preferred Qualifications:

• Expert-level experience in designing, building and managing applications to process large amounts of data in a cloud ecosystem or other big data frameworks.
• Extensive experience with performance tuning applications on big data cloud systems to maximize performance or other big data frameworks.
• Experience building systems to perform real-time data processing using scalable data streaming frameworks.
• Experience with common data processing tools, writing unit tests, performing integration testing, functional and performance testing, automating workflows, and CI/CD using agile best practices.
• Strong with distributed data processing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, etc.
• Experience with building data security frameworks, in compliance with GDPR and CCPA guidelines.
• Experience working with relational databases (SQL) and non-relational databases such as MongoDB, Redis, Cassandra, etc. with an ability to choose the right database for a use case.
• Experience with training custom neural network models with PyTorch, TensorFlow, or similar frameworks and libraries.
• Strong knowledge of data pipeline and workflow management tools.
• Experience in architecting data warehousing and business intelligence solutions, including design of Operational Data Stores, Data Marts and Metadata Management.
• Demonstrated capability to design and deploy feature pipelines.
• Ability to work with Big Data Engineers and AI/ML Scientists and demonstrated capability to create advanced features.
• Experience designing various consumption patterns on top of data lake/lake house to cater to different personas within the organization.
• Experienced in a variety of business analytics tools, such as Tableau, Oracle BI, or QuickSight.
• Experience with cloud and enterprise ETL and data integration tools, e.g., AWS Glue, Informatica PowerCenter, etc.
• Strong leadership and effective interpersonal skills, including good oral and written communication, with the ability to convey sophisticated concepts in an easy-to-understand way to a wide variety of audiences, both technical and non-technical.
• Strives to learn new skills, test the limits, and stretch capabilities maximizing opportunities to innovate and harness new ideas, emerging technologies and toolsets.

Additional Information

This role has the possibility of being a remote or hybrid position. You must reside in one of the following states: CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA. There may be periodic visits to our Boston, MA based campus. In a hybrid role, you are required to be onsite at our Boston, MA based campus a determined number of days per month. Specific days and schedule will be determined between you and your manager.

We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.

A cover letter is required to be considered for this opportunity.

Harvard Business School will not offer visa sponsorship for this opportunity.

Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here https://www.hbs.edu/employment.

Benefits

We invite you to visit Harvard's Total Rewards website to learn more about our outstanding benefits package, which may include:

• Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
• Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
• Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
• Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
• Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
• Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
• Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
• Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
• Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.

Work Format

Hybrid (partially on-site, partially remote)


Commitment to Equity, Diversity, Inclusion, and Belonging
Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.

EEO Statement
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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