Director, Analytics Enablement
4 days ago
40580
Location:
450 Brookline Ave, Boston, MA 02215
Category:
IT/Informatics
Employment Type:
Full time
Work Location:
Hybrid: 2-3 days onsite/week
It’s an exciting time to be a part of Enterprise Analytics and AI at Dana-Farber. We are at the core of the Institute, using data to drive innovation that is accelerating our mission to defy cancer and improve the lives of our patients, caregivers, and staff. Critical to achieving this mission are the improvements the new Director of Analytics Enablement & Governance will lead in the Institute’s analytics platforms, governance initiatives, and enablement of data and AI literacy programs.
In this new role, you will grow a team of 7-15 FTEs to strengthen and expand Dana-Farber’s data, analytics, and AI foundation. You will develop broadly usable capabilities and competencies to enable the reliable conversion of more data by more people into positive impact through accessible data products, deeper analytics, process automation, and novel applications of AI. This senior-level position will require exceptional leadership skills, effective strategy development, and deep technical acumen.
Responsibilities1. Data Catalog and Governance:
Provide strategic and technical leadership to enhance the value of Data Products and Assets across the Institute ensuring ease of data discovery, context, trust, quality, and secure access. Develop and evolve the Data Catalog & Governance strategic roadmap, policies, and collaborative practices in close partnership with your stakeholders across the Institute at all levels. Identify and engage data owners, stewards, and stakeholders to enrich the data catalog, map data lineage, develop certified data products, and encourage proactive data ownership. Build and elevate the data governance team to serve as leaders for the Institute’s data catalog and governance platform including standing up new capabilities, developing workflows, integrating with other data and analytics systems, and ensuring reliability and trust. Integrate data catalog metadata into the analytics consumption layer, enhancing stewardship as well as end-user trust and knowledge. Partner with peers, business leaders, and analytics users across the Institute to uncover, understand, and integrate evolving needs for governance of data, analytics, and AI into our solutions.
2. Analytics Platforms, Data Product Management, and Operations:
Develop and manage the analytics tech stack including data visualization, advanced analytics, and our strategy and evolving processes for implementing tools for generative BI, AI enablement, self-service data wrangling, process automation, and other needs. Implement best practices to ensure optimal performance, scalability, interoperability, and reliability of our analytics stack, including efficiencies in management of analytics products and user administration. Develop and implement data product guidelines, in partnership with the Enterprise Data Services team, to pull data modeling activities upstream to the data warehouse, increasing the usability, reliability, and value of our data for broader use across the full analytics stack, AI platforms, and integrated applications. Build a comprehensive strategy to enable growth of governed self-service across our tech stack and across the institute providing the ability for more people to put data to use quickly, reliably, and safely.
3. Analytics and AI Education, Fluency, and Training:
Develop and deliver educational and enablement programs to enhance data and AI literacy, tool competencies, proper governance, and promote a data-enabled culture across the Institute. Foster a culture of data-driven decision-making by promoting awareness and understanding of data's value across the organization and helping staff to see the “art of the possible”. Build self-sustaining communities of practice for data, analytics, and AI, open to anyone at the Institute with curiosity and emerging or advanced competencies.
General Qualifications:
Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems, Analytics, Business, Engineering). Master's degree is preferred. Extensive experience (15+ years) in data, analytics and data science, business intelligence, data governance, or related roles, with 3+ preferred in biomedical, healthcare, or a highly regulated industry. 6+ years of direct people management and leadership experience with a track record of building engaged teams of user-centric business partners, impact-focused solution engineers, and high-skill technical experts.
Technical:
Excellent understanding and leadership experience in data management, data governance frameworks, and best practices in data design and architecture including working knowledge of data cataloging platforms like Informatica, Collibra, or Alation. Strong expertise in data stack ownership including Tableau, SQL, data warehouses like Snowflake or Databricks, and management within a cloud environment like Azure. Excellent understanding of the concepts and process of designing and leading compelling analytics education and training programs for a wide array of personas at varying levels of maturity.
People Management:
Proficient in guiding and supporting career development and performance management, and in developing new managers/leaders. Proven experience in leading and developing high performing teams with a user-centric and impact-first mindset.
Client Services, Collaboration, Communication:
Curious and eager to learn about others’ work and perspectives and to develop deep knowledge of areas served. Excellent at identifying and validating the business value of initiatives. Strong service orientation with an obsession for our partners, customers, and users. Ability to routinely establish new projects and collaborations independently. Expert at presenting results persuasively and accurately verbally or in writing, and in delivering good or bad news. Able to say no appropriately when required. Excellent interpersonal skills; able to interact effectively with all levels of staff and external contacts. Ability to consistently determine best approaches to problems. Able to skillfully educate the business on the importance of leveraging data & analysis for decision-making and enable the embedding of a data-driven culture. Ability to skillfully and routinely create, cultivate, and leverage cross-group, cross-departmental (e.g., I.S.), and external (e.g., vendor) relationships with a big picture view of DFCI benefit.
Project and Portfolio Management:
Outstanding project, program, and portfolio manager, with excellent analytical, organizational, and time-management skills. Impeccable accuracy and attention to detail, quality, and compliance. Ability to grow and manage capital and FTE budgets effectively, as an effective steward of DFCI resources.
Mindset:
Possesses a high-level of empathy, kindness, and a mindset of inclusive, diverse thinking. Demonstrates self-awareness, professionalism, agility and flexibility, a strong work ethic, appropriate humility, and the ability to lead through challenging situations. Thinks and acts consistently with a broader “we” mentality, i.e., what’s best for the group as a whole vs. self and “my team”.
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. #J-18808-Ljbffr
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