Drew McGavran - Director

Drew McGavran

Director

Molecule-to-Electron Energy Generalist, Cyborg* Strategist

Drew brings rare breadth across the energy value chain—from upstream oil and gas to renewable developers, all the way to utility customer solutions—paired with a conviction that AI-augmented strategy work can unlock insights and speed that traditional approaches cannot match.

At Sprosty, Drew leads the energy practice’s most complex utility engagements. He has guided investor-owned utilities through multi-year capability transformations, built portfolio management frameworks that bring coherence to hundreds of programs across multiple jurisdictions, and designed measurement systems that connect frontline execution to enterprise strategy. His work helps clients move from fragmented initiatives to integrated portfolios with clear line-of-sight to outcomes.

Previously at Strategy&, Drew advised Fortune 100 energy companies and leading IOUs on their highest-stakes decisions—regulatory strategy ahead of rate cases, operating model redesigns during market disruption, and commercial due diligence under tight timelines. He built business cases that secured board approval for strategic initiatives and prepared testimony for regulatory proceedings.

Earlier, Drew spent a decade at a Houston-based family office with controlling interests in firms operating throughout the energy value chain internationally. He built capabilities within and drove strategy across multiple business units, including a proprietary research function that enabled a lean, agile team to compete favorably against integrated oil company land departments in the mineral acquisition races that defined the Permian, Eagle Ford, and other major US basins during the shale boom. He departed as Vice President of Land Management to join Strategy&.

Drew holds an MBA from UT Austin’s McCombs School of Business, where he received the Dean’s Leadership & Service Award.

*A “cyborg” in Wharton professor Ethan Mollick’s framework describes someone who deeply integrates AI into their work—not delegating tasks to it, but intertwining human and machine efforts continuously. See Mollick’s One Useful Thing.