Software Engineering Senior Director, Enterprise Finance Technology Data and Analytics Services

Summary

Enterprise Finance Technology is looking for a passionate, innovative, mission-based leader to head the Data Platform and Analytics Services (DPaAS) organization that supports Data Analytics, Data Engineering, Data/Cloud Architecture, Artificial Intelligence, and Shared Service Cloud DevOps/QE functions across all the Finance areas (Corporate Accounting, Finance, Treasury, Cigna Investments, Global Procurement and Pricing). This is a key growth area for the Enterprise Finance organization and will lay a strong foundation for accelerating cloud-based data solutions to enable accurate and timely insights for the stakeholders to make informed and strategic decisions.

Working closely with Business, Operations, Enterprise Data, and Technology partners (Cigna and Evernorth), along with leveraging technology and a transformational skillset, this leader will provide technical leadership for delivering business capabilities while driving thought leadership and innovation with business partners.

Responsibilities

• Create & deliver new solutions by helping business partners to see the art-of-the-possible and influencing the change needed to execute and deliver successfully.                                                                                        

• This role will lead a cross functional team of data engineers, data analysts, artificial intelligence, data/cloud architects and shared service DevOps and QE teams focused on delivering incremental and tangible business outcomes

• Ability to influence transformation change across a large-scale organization based on a deep understanding of latest technology trends.

• Ability to collaborate with Enterprise technology and data team to ensure enterprise best practices and architectures are being evaluated and leveraged as needed.

• Ability to manage/engage on large scale cross functional projects across various functional teams.

• Ability to educate and influence alongside of key business stakeholders to drive key decisions.

• Grow and lead large teams of engineers focused on data solutions.

• Additionally, this role will oversee an integrated analytics roadmap working closely with various business/technology partners across Finance, Accounting, Treasury, Investments and Pricing to create a cohesive and integrated set of re-usable solutions using the DPaAS accelerators.

• Provide thought leadership to achieve automation and analytics strategies.

• Assemble and nurture high performing team.

• Drive value through Agile development patterns.

• Execute the talent strategy required to achieve business needs and organizational goals by managing and cultivating a high functioning team of data champions

• Ability to successfully navigate and contribute in a highly matrixed business stakeholders including but not limited to Finance, Accounting, Pricing, Treasury, Investments, Procurement teams.

• Ability to think strategically, anticipate future consequences and trends, and incorporate them into roadmaps and delivery; fast paced translation of business needs into practical applications and solutions; nimble with leveraging existing solutions and data/insights assets to make informed decisions.

Qualifications

• Work experience as an engineering leader in a senior level position.

• Bachelor’s degree required.

• Minimum 10 years in technology leadership with significant healthcare experience.

• Demonstrated success with delivering data/software using modern, cloud-based technologies.

• Innovation & Data First Mindset - creating better ways for the organization to be successful in a highly complex environment and continue to drive data first applications and strategies.

• This position requires deep data engineering and analytics knowledge, advanced analytics expertise and leadership skills related to leading highly functional data and analytics teams.

• 7+ years of data analytics industry experience solving business problems through the application of descriptive, diagnostic and prescriptive analytics approaches.

• 5+ years of hands-on experience with designing and building data warehouses, data marts and supporting analytical solutions.

• Must be solution-oriented and business-minded with significant practical experience in building, delivering, and supporting technology systems to meet near term business and growth commitments for multiple businesses.

• Delivers Results – Pushes team and cross functional partners to deliver needed results in tough circumstances and expedited timelines.

• Builds Effective Teams – Builds strong identity teams tha