Associate Director Data & AI Program Management

Responsibilities

This role will deliver Data and AI Product Management (DPM) for various workstreams EDF Programs.

DPM responsibilities include:

• Drive governance across all 6 pillars within EDF
• Coordinate data collection across all tracks to enable monthly EDF and Modern Data Intelligence Program (MDIP) Governance calls
• Report deliverables/costs against EDF Capital Expense Request for all tracks
• Ensure key global programs are enabled through EDFs readiness and scalability
• Execute Product Management responsibilities for each of the 6 EDF planks
• Partner with Sustain teams to develop/validate standardized reporting for ongoing run rate cost optimization of EDF and cost allocation to sectors/programs
• Govern report on decommission of Teradata components as a result of MDIP migration activities
• Drive transition to sustainable operations across various teams in a coordinated fashion
• Governance of potential migration of EDF due to RFP execution
• Drive sector data lake migration into EDF

Coordination across all PEP teams and vendor partners:

• Identify cross-plank dependencies and support execution of tasks in a coordinated fashion
• Identify requirements outside of the Data/Analytics & AI space and support execution of tasks in a coordinated fashion
• Partner with the various owners of each plank and their team members to support delivery of milestones
• Plan and support monthly workshops along with tracking follow-ups and ensuring timely completion of follow-ups and coordinated efforts if multiple teams are required
• Ensure appropriate disposition as per assessment requirements and decommission in Teradata
• Support FinOPS initiative for EDF as a whole including partnering with various teams on cost allocation and optimization activities
• Manage stakeholder engagement
• Align sector business unit participants as required
• Determine and report on metrics for program during monthly status reporting
• Lead working sessions across teams to collaborate and implement process improvements
• Provides interface, communication and coordination across internal and strategic partner team(s)
• Use troubleshooting skills and work closely across multiple internal and external teams
• Program level status reporting and risk management: Lead identification of risks, actions, and issues through proactive communication and collaboration with stakeholders and various teams
• Manage delivery against key technical delivery milestones.
• Ensure technical documentation is readily available for data products produced and that value is communicated to key stakeholders.

Qualifications
Who are we looking for?

A leader with strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities and projects at the same time

• 14+ years of Product Management, Data Analytics, Data Science or Data Management and Operations in business facing functions.
• 3+ years of experience leading/building advanced analytics and big data solutions, large scale data modeling, or building enterprise SaaS.
• 3 years of relevant experience in project management agile ways of working Scrum Master
• Experience working in a data-centric business environment.
• Excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths realizing that value.
• Familiarity with principles and tools for data governance and stewardship
• History of working in agile environments and successful estimation and delivery of complex products
• Effective communication skills and an ability to break down complex information into relevant and digestible points for both inside Data+Analytics and externally to the business.
• Excellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressure.
• Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering and machine learning.
• Demonstrated ability to effectively communicate with all levels of the organization and solve complex problems across teams.
• Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levels.

Mandatory 'Technical' Skills

• Experience with data & analytics
• Experience working with Azure DevOps or similar tools for tracking, developing, deploying software
• Experience in cost estimation for Platform-as-a-Service cloud hosting cost estimates (including both cloud hosting costs and software licensing)
• Should have knowledge of Azure Data bricks or snowflakes
• Knowledge of Azure or AWS

Mandatory 'Non-Technical' Skills

• Experience leading cross-functional teams with diverse skillsets in multiple timezones
• Support identification and requirements gathering for new processes and services (or changes to existing processes and services) to improve operational support
• Excellent communication and strong interpersonal skills
• Experience with Agile and Hybrid development and deployment projects
• Agile or other project management certification is a plus
• Solves complex, politically sensitive problems across teams
• Strong analytical skills to support problem troubleshooting, resolution, and root cause determination to complex technology issues
• Ability to thrive in a fast pace and demanding work environment.
• Strong documentation skills and ability to explain complex technical concepts to non-technical personnel
• Good collaboration and partnership skills to foster key relationships with other technology, application and business teams
• Requisite skills to assist with influencing others in order gain consensus and alignment for key deliverables that span multiple teams and organizations
• Ability to leverage partnership with third-party providers to achieve business goals
• Ability to navigate complex cloud landscape and still deliver results
• Vendor partnership management experience
• Understanding of infrastructure and cloud technologies, principles, and methodologies
• Experience with running programs and initiatives with remote teams in multiple locations